Philip Kahn

1.7k citations
43 papers · 941 · h-index 15

Impact in

    • Systemic Lupus Erythematosus Research
    • Eosinophilic Disorders and Syndromes
    • Ocular Diseases and Behçet’s Syndrome

Papers in

    • Kawasaki Disease and Coronary Complications 8
    • Systemic Lupus Erythematosus Research 5
    • Eosinophilic Disorders and Syndromes 3

Philip Kahn

42 papers receiving 909 citations

Peers

Philip Kahn
Comparison fields: 5 of 94
  • Rheumatology 289
  • Ophthalmology 134
  • Hematology 140
  • Immunology 121
  • Dermatology 44
Replace Francesco Ferro with:
Francesco Ferro Italy
Josef Hermann Austria
Kwang-Hoon Lee South Korea
Bruce A. Sebek United States
Mohammadhadi Bagheri United States
Chia‐Wei Hsieh Taiwan
Thurman Gillespy United States
Fabiano Reis Brazil
Francesco Viola Italy
Volker Schneider Germany
Philip Kahn relative to Francesco Ferro Italy Francesco Ferro's profile →
Citations per field
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Francesco Ferro · 1×
Citations per year

Countries citing papers authored by Philip Kahn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Philip Kahn Line = papers co-authored together Philip Kahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006153
2 200897
3 199093
4 202067
5 197356
6 202055
7 200948
8 201645
9 201745
10 201137
11 201821
12
Juvenile idiopathic arthritis: an update for the clinician.
201220
13 200917
14 202115
15 198515
16 202012
17 197212
18 199811
19 201010
20
Juvenile idiopathic arthritis - what the clinician needs to know.
201310

About Philip Kahn

Philip Kahn is a scholar working on Surgery, Rheumatology, Computer Vision and Pattern Recognition, Molecular Biology and Epidemiology, having authored 43 papers that have together received 941 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (8 papers), Inflammatory Myopathies and Dermatomyositis (6 papers), Systemic Lupus Erythematosus Research (5 papers), Image and Object Detection Techniques (3 papers), Inflammasome and immune disorders (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Rheumatology (289 citations), Ophthalmology (134 citations), Hematology (140 citations), Immunology (121 citations) and Dermatology (44 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, Edward M. Riseman, Les Kitchen, Meera Ramanujam, Michael P. Madaio, Anne Davidson, Stephen M. Factor and Weiqing Huang. 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 Arthritis Care & Research.

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.

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