Neil Friedman
Impact in
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications
Papers in
-
- Mitochondrial Function and Pathology 4
- Epidemiology 10
- Congenital Heart Disease Studies 4
- Co-authors
- Timothy J. Bernard (7 shared papers)Gabrielle deVeber (7 shared papers)Basil T. Darras (2 shared papers)Heather J. Fullerton (4 shared papers)Catherine Amlie‐Lefond (5 shared papers)Geoffrey L. Heyer (1 shared paper)Guillaume Sébire (1 shared paper)Norma B. Lerner (1 shared paper)
- Journals
- Pediatric Neurology (7 papers)Journal of Child Neurology (6 papers)Neurology (4 papers)Journal of Humanistic Psychology (3 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Neil Friedman
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Hematology 295
- Neurology 192
- Internal Medicine 40
- Rheumatology 137
- Epidemiology 241
Countries citing papers authored by Neil Friedman
This map shows the geographic impact of Neil Friedman'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 Neil Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Friedman more than expected).
Fields of papers citing papers by Neil Friedman
This network shows the impact of papers produced by Neil Friedman. 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 Neil Friedman. The network helps show where Neil Friedman may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil Friedman, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 223 | |
| 2 | 2017 | 77 | |
| 3 | 2009 | 75 | |
| 4 | 2011 | 65 | |
| 5 | 1973 | 58 | |
| 6 | 2004 | 50 | |
| 7 | 2011 | 45 | |
| 8 | 2012 | 43 | |
| 9 | 2000 | 41 | |
| 10 | 2018 | 40 | |
| 11 | 2000 | 40 | |
| 12 | 2014 | 34 | |
| 13 | 2015 | 31 | |
| 14 | 2011 | 30 | |
| 15 | 2011 | 26 | |
| 16 | 2009 | 23 | |
| 17 | 1991 | 23 | |
| 18 | 2012 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 2014 | 20 |
About Neil Friedman
Neil Friedman is a scholar working on Molecular Biology, Epidemiology, Surgery, Neurology and Genetics, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (5 papers), Metabolism and Genetic Disorders (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Mitochondrial Function and Pathology (4 papers), Congenital Heart Disease Studies (4 papers), Cerebrovascular and genetic disorders (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Hematology (295 citations), Neurology (192 citations), Internal Medicine (40 citations), Rheumatology (137 citations) and Epidemiology (241 citations). Neil Friedman has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Timothy J. Bernard, Gabrielle deVeber, Basil T. Darras, Heather J. Fullerton, Catherine Amlie‐Lefond, Geoffrey L. Heyer, Guillaume Sébire, Norma B. Lerner, A. David Rothner and Partha S. Ghosh. Their work appears in journals such as Pediatric Neurology, Journal of Child Neurology, Neurology, Journal of Humanistic Psychology and Journal of Clinical Oncology.
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.