Philip Kahn
Impact in
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
- Eosinophilic Disorders and Syndromes
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research
Papers in
-
- Autoimmune and Inflammatory Disorders Research 7
- Rheumatology 12
- Systemic Lupus Erythematosus Research 6
- Eosinophilic Disorders and Syndromes 5
- Co-authors
- Deborah M. LevyLisa F. ImundoMichael WeißLes KitchenEdward M. RisemanAnne DavidsonMichael P. MadaioWeiqing Huang
- Journals
- Pediatric Rheumatology (4 papers)The Journal of Pediatrics (2 papers)Journal of Neurology Neurosurgery & Psychiatry (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)PEDIATRICS (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Philip Kahn
42 papers receiving 900 citations
Peers
Comparison fields: 5 of 98
- Rheumatology 377
- Hematology 196
- Ophthalmology 139
- Immunology 151
- Dermatology 49
Countries citing papers authored by Philip Kahn
This map shows the geographic impact of Philip Kahn'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 Philip Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Kahn more than expected).
Fields of papers citing papers by Philip Kahn
This network shows the impact of papers produced by Philip Kahn. 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 Philip Kahn. The network helps show where Philip Kahn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip Kahn, 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 | 2025 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 15 | |
| 5 | 2020 | 11 | |
| 6 | 2020 | 67 | |
| 7 | 2018 | 21 | |
| 8 | 2017 | 45 | |
| 9 | 2016 | 44 | |
| 10 | 2015 | 4 | |
| 11 | 2012 | 4 | |
| 12 | 2011 | 7 | |
| 13 | 2011 | 3 | |
| 14 | 2009 | 17 | |
| 15 | 2009 | 47 | |
| 16 | 2008 | 95 | |
| 17 | 2006 | 153 | |
| 18 | 1998 | 11 | |
| 19 | 1991 | 9 | |
| 20 | 1985 | 15 |
About Philip Kahn
Philip Kahn is a scholar working on Hematology, Rheumatology, Speech and Hearing, Computer Vision and Pattern Recognition and Immunology and Allergy, having authored 43 papers that have together received 932 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (9 papers), Autoimmune and Inflammatory Disorders Research (7 papers), Inflammatory Myopathies and Dermatomyositis (6 papers), Systemic Lupus Erythematosus Research (6 papers), Eosinophilic Disorders and Syndromes (5 papers), Streptococcal Infections and Treatments (4 papers), Inflammasome and immune disorders (4 papers) and Adolescent and Pediatric Healthcare (3 papers). The work is most often cited by research in Rheumatology (377 citations), Hematology (196 citations), Ophthalmology (139 citations), Immunology (151 citations) and Dermatology (49 citations). Philip Kahn has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Deborah M. Levy, Lisa F. Imundo, Michael Weiß, Les Kitchen, Edward M. Riseman, Anne Davidson, Michael P. Madaio, Weiqing Huang, Stephen M. Factor and Haiou Tao. Their work appears in journals such as Pediatric Rheumatology, The Journal of Pediatrics, Journal of Neurology Neurosurgery & Psychiatry, IEEE Transactions on Pattern Analysis and Machine Intelligence and PEDIATRICS.
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.