Brian Skinnider
Impact in
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment
- Oncology top 1%
- Viral-associated cancers and disorders
Papers in
-
- Lymphoma Diagnosis and Treatment 46
- Genetics 17
- Chronic Lymphocytic Leukemia Research 16
- Co-authors
- Tak W. MakRandy D. GascoyneJoseph M. ConnorsMahul B. AminMukesh ChhanabhaiUrsula KappRichard KlasaDavid S. Viswanatha
- Journals
- Blood (23 papers)The American Journal of Surgical Pathology (5 papers)Journal of Clinical Oncology (5 papers)British Journal of Haematology (3 papers)American Journal of Clinical Pathology (3 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Brian Skinnider
63 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 88
- Pathology and Forensic Medicine 2.3k
- Oncology 1.7k
- Genetics 645
- Immunology 975
- Dermatology 319
Countries citing papers authored by Brian Skinnider
This map shows the geographic impact of Brian Skinnider'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 Brian Skinnider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Skinnider more than expected).
Fields of papers citing papers by Brian Skinnider
This network shows the impact of papers produced by Brian Skinnider. 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 Brian Skinnider. The network helps show where Brian Skinnider may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Skinnider, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 14 | |
| 5 | 2019 | 84 | |
| 6 | 2015 | 6 | |
| 7 | 2010 | 45 | |
| 8 | 2008 | 7 | |
| 9 | 2007 | 46 | |
| 10 | The architectural pattern of FOXP3(+) T cells is an independent predictor of survival in patients with follicular lymphoma (FL) | 2006 | 6 |
| 11 | 2006 | 108 | |
| 12 | 2005 | 376 | |
| 13 | 2004 | 55 | |
| 14 | 2004 | 35 | |
| 15 | 2001 | 140 | |
| 16 | 1999 | 12 | |
| 17 | 1999 | 33 | |
| 18 | 1999 | 104 | |
| 19 | 1999 | 52 | |
| 20 | 1997 | 40 |
About Brian Skinnider
Brian Skinnider is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Neurology and Immunology, having authored 70 papers that have together received 3.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (46 papers), Viral-associated cancers and disorders (22 papers), Chronic Lymphocytic Leukemia Research (16 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Immune Cell Function and Interaction (8 papers), Lung Cancer Treatments and Mutations (7 papers), Urinary and Genital Oncology Studies (5 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.3k citations), Oncology (1.7k citations), Genetics (645 citations), Immunology (975 citations) and Dermatology (319 citations). Brian Skinnider has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Tak W. Mak, Randy D. Gascoyne, Joseph M. Connors, Mahul B. Amin, Mukesh Chhanabhai, Ursula Kapp, Richard Klasa, David S. Viswanatha, Kerry J. Savage and Daniel Wu. Their work appears in journals such as Blood, The American Journal of Surgical Pathology, Journal of Clinical Oncology, British Journal of Haematology and American Journal of Clinical Pathology.
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.