Walavan Sivakumar
Impact in
Papers in
- Surgery 27
- Head and Neck Surgical Oncology 10
- Spinal Fractures and Fixation Techniques 6
- Epidemiology 19
- Meningioma and schwannoma management 16
- Co-authors
- William T. Couldwell (7 shared papers)Sarah T. Garber (2 shared papers)Richard H. Schmidt (2 shared papers)Jeremiah N. Johnson (8 shared papers)Jay Riva-Cambrin (7 shared papers)Debraj Mukherjee (6 shared papers)Thomas C. Chen (3 shared papers)David Dornbos (7 shared papers)
- Journals
- Neurosurgical FOCUS (9 papers)Journal of neurosurgery (7 papers)World Neurosurgery (5 papers)Clinical Neurology and Neurosurgery (3 papers)Neurosurgery (2 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Walavan Sivakumar
49 papers receiving 872 citations
Peers
Comparison fields: 5 of 84
- Neurology 272
- Genetics 138
- Endocrinology, Diabetes and Metabolism 171
- Internal Medicine 31
- Surgery 336
Countries citing papers authored by Walavan Sivakumar
This map shows the geographic impact of Walavan Sivakumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Walavan Sivakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walavan Sivakumar more than expected).
Fields of papers citing papers by Walavan Sivakumar
This network shows the impact of papers produced by Walavan Sivakumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Walavan Sivakumar. The network helps show where Walavan Sivakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Walavan Sivakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 84 | |
| 2 | 2012 | 68 | |
| 3 | 2020 | 58 | |
| 4 | 2017 | 57 | |
| 5 | 2009 | 56 | |
| 6 | 2020 | 54 | |
| 7 | 2011 | 43 | |
| 8 | 2009 | 43 | |
| 9 | 2015 | 34 | |
| 10 | 2015 | 33 | |
| 11 | 2014 | 32 | |
| 12 | 2016 | 30 | |
| 13 | 2014 | 27 | |
| 14 | 2015 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2018 | 19 | |
| 17 | 2009 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2015 | 14 | |
| 20 | 2020 | 13 |
About Walavan Sivakumar
Walavan Sivakumar is a scholar working on Surgery, Epidemiology, Neurology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 53 papers that have together received 890 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (16 papers), Pituitary Gland Disorders and Treatments (12 papers), Head and Neck Surgical Oncology (10 papers), Glioma Diagnosis and Treatment (9 papers), Diversity and Career in Medicine (6 papers), Spinal Fractures and Fixation Techniques (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). The work is most often cited by research in Neurology (272 citations), Genetics (138 citations), Endocrinology, Diabetes and Metabolism (171 citations), Internal Medicine (31 citations) and Surgery (336 citations). Walavan Sivakumar has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include William T. Couldwell, Sarah T. Garber, Richard H. Schmidt, Jeremiah N. Johnson, Jay Riva-Cambrin, Debraj Mukherjee, Thomas C. Chen, David Dornbos, Weijun Wang and Encouse B. Golden. Their work appears in journals such as Neurosurgical FOCUS, Journal of neurosurgery, World Neurosurgery, Clinical Neurology and Neurosurgery and Neurosurgery.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.