Highly cited works in neurosurgery. Part I: the 100 top-cited papers in neurosurgical journals
Bibliographic record
Abstract
OBJECT: The number of citations a published article receives is a measure of its impact in the scientific community. This study identifies and characterizes the current 100 top-cited articles in journals specifically dedicated to neurosurgery. METHODS: Neurosurgical journals were identified using the Institute for Scientific Information Journal Citation Reports. A search was performed using Institute for Scientific Information Web of Science for articles appearing in each of these journals. The 100 top-cited articles were selected and analyzed. RESULTS: The 100 most cited manuscripts in neurosurgical journals appeared in 3 of 13 journals dedicated to neurosurgery. These included 79 in the Journal of Neurosurgery, 11 in the Journal of Neurology, Neurosurgery and Psychiatry, and 10 in Neurosurgery. The individual citation counts for these articles ranged from 287 to 1515. Seventy-seven percent of articles were published between 1976 and 1995. Representation varied widely across neurosurgical disciplines, with cerebrovascular diseases leading (43 articles), followed by trauma (27 articles), stereotactic and functional neurosurgery (13 articles), and neurooncology (12 articles). The study types included 5 randomized trials, 5 cooperative studies, 1 observational cohort study, 69 case series, 8 review articles, and 12 animal studies. Thirty articles dealt with surgical management and 12 with nonsurgical management. There were 15 studies of natural history of disease or outcomes after trauma, 11 classification or grading scales, and 10 studies of human pathophysiology. CONCLUSIONS: The most cited articles in neurosurgical journals are trials evaluating surgical or medical therapies, descriptions of novel techniques, or systems for classifying or grading disease. The time of publication, field of study, nature of the work, and the journal in which the work appears are possible determinants of the likelihood of citation and impact.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.114 | 0.131 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".