Kevin Byram

2.2k total citations
20 papers, 235 citations indexed

About

Kevin Byram is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Surgery. According to data from OpenAlex, Kevin Byram has authored 20 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 10 papers in Rheumatology and 4 papers in Surgery. Recurrent topics in Kevin Byram's work include Vasculitis and related conditions (13 papers), Sarcoidosis and Beryllium Toxicity Research (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Kevin Byram is often cited by papers focused on Vasculitis and related conditions (13 papers), Sarcoidosis and Beryllium Toxicity Research (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Kevin Byram collaborates with scholars based in United States, Austria and Belarus. Kevin Byram's co-authors include Jason Springer, Leonard H. Calabrese, Rula A. Hajj‐Ali, Steven M. Rowe, Eric J. Sorscher, Zsuzsa Bebők, András Rab, John P. Clancy, K Varga and Marat Turgunbaev and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, American Journal of Respiratory Cell and Molecular Biology and Lara D. Veeken.

In The Last Decade

Kevin Byram

19 papers receiving 233 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin Byram United States 10 152 87 47 38 30 20 235
Elena Treppo Italy 10 107 0.7× 80 0.9× 21 0.4× 39 1.0× 42 1.4× 28 205
Thomas Sené France 10 81 0.5× 91 1.0× 32 0.7× 81 2.1× 23 0.8× 32 265
Fabian Arndt Germany 4 207 1.4× 151 1.7× 24 0.5× 59 1.6× 31 1.0× 6 245
Genta Ishikawa Japan 8 174 1.1× 66 0.8× 37 0.8× 43 1.1× 18 0.6× 22 274
C. Agard France 7 185 1.2× 103 1.2× 35 0.7× 38 1.0× 22 0.7× 12 344
Delphine Larivière France 4 202 1.3× 143 1.6× 19 0.4× 55 1.4× 14 0.5× 5 222
Rajiva Gupta India 4 232 1.5× 82 0.9× 27 0.6× 21 0.6× 27 0.9× 9 260
Ayumi Omokawa Japan 11 100 0.7× 89 1.0× 78 1.7× 21 0.6× 27 0.9× 22 305
Elisa Mansutti Italy 5 43 0.3× 162 1.9× 16 0.3× 31 0.8× 29 1.0× 8 208
Cemre Robinson United States 8 80 0.5× 107 1.2× 23 0.5× 58 1.5× 28 0.9× 18 268

Countries citing papers authored by Kevin Byram

Since Specialization
Citations

This map shows the geographic impact of Kevin Byram'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 Kevin Byram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Byram more than expected).

Fields of papers citing papers by Kevin Byram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Byram. 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 Kevin Byram. The network helps show where Kevin Byram may publish in the future.

Co-authorship network of co-authors of Kevin Byram

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Byram. A scholar is included among the top collaborators of Kevin Byram based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Byram. Kevin Byram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tinker, Rory J., Paul A. Harris, Alex Cheng, et al.. (2025). Accuracy of Large Language Models in Generating Rare Disease Differential Diagnosis Using Key Clinical Features. Studies in health technology and informatics. 329. 1054–1058.
2.
Tinker, Rory J., Kevin Byram, Peter J. Embí, et al.. (2025). Large Language Models for Rare Disease Diagnosis at the Undiagnosed Diseases Network. JAMA Network Open. 8(8). e2528538–e2528538. 3 indexed citations
3.
Corty, Robert W., James Brogan, Kevin Byram, et al.. (2024). VEXAS‐Defining UBA1 Somatic Variants in 245,368 Diverse Individuals in the NIH All Of Us Cohort. Arthritis & Rheumatology. 76(6). 942–948. 15 indexed citations
4.
Kermani, Tanaz A. & Kevin Byram. (2023). Isolated Aortitis. Rheumatic Disease Clinics of North America. 49(3). 523–543. 2 indexed citations
5.
Springer, Jason, et al.. (2022). Diagnostic and Therapeutic Challenges of Vasculitis. Canadian Journal of Cardiology. 38(5). 623–633. 3 indexed citations
6.
Springer, Jason & Kevin Byram. (2022). Polyarteritis nodosa: an evolving primary systemic vasculitis. Postgraduate Medicine. 135(sup1). 61–68. 10 indexed citations
7.
Springer, Jason, Mohamad A. Kalot, Nedaa Husainat, et al.. (2021). Granulomatosis With Polyangiitis and Microscopic Polyangiitis: A Systematic Review and Meta‐Analysis of Benefits and Harms of Common Treatments. ACR Open Rheumatology. 3(3). 196–205. 10 indexed citations
8.
Dua, Anisha B., Mohamad A. Kalot, Nedaa Husainat, et al.. (2021). Takayasu Arteritis: a Systematic Review and Meta‐Analysis of Test Accuracy and Benefits and Harms of Common Treatments. ACR Open Rheumatology. 3(2). 80–90. 9 indexed citations
9.
Springer, Jason, Mohamad A. Kalot, Nedaa Husainat, et al.. (2021). Eosinophilic Granulomatosis with Polyangiitis: A Systematic Review and Meta‐Analysis of Test Accuracy and Benefits and Harms of Common Treatments. ACR Open Rheumatology. 3(2). 101–110. 13 indexed citations
10.
James, Karen, Mohamad A. Kalot, Nedaa Husainat, et al.. (2021). Kawasaki Disease: A Systematic Review and Meta‐Analysis of Benefits and Harms of Common Treatments. ACR Open Rheumatology. 3(10). 671–683. 4 indexed citations
11.
Dua, Anisha B., Nedaa Husainat, Mohamad A. Kalot, et al.. (2021). Giant Cell Arteritis: A Systematic Review and Meta‐Analysis of Test Accuracy and Benefits and Harms of Common Treatments. ACR Open Rheumatology. 3(7). 429–441. 24 indexed citations
12.
Lin, Yih Chang, Mohamad A. Kalot, Nedaa Husainat, et al.. (2021). Polyarteritis Nodosa: A Systematic Review of Test Accuracy and Benefits and Harms of Common Treatments. ACR Open Rheumatology. 3(2). 91–100. 4 indexed citations
13.
Geier, Christoph B., Jocelyn R. Farmer, Zsófia Földvári, et al.. (2019). Vasculitis as a major morbidity factor in patients with hypomorphic RAG mutations. Journal of Allergy and Clinical Immunology. 143(2). AB116–AB116. 2 indexed citations
14.
15.
Byram, Kevin, Leonard H. Calabrese, & James Fernandez. (2019). 132. COMORBID VASCULITIS AMONG PATIENTS IN A NATIONAL PRIMARY IMMUNODEFICIENCY DATABASE. Lara D. Veeken. 58(Supplement_2). 1 indexed citations
16.
Byram, Kevin, Rula A. Hajj‐Ali, & Leonard H. Calabrese. (2018). CNS Vasculitis: an Approach to Differential Diagnosis and Management. Current Rheumatology Reports. 20(7). 37–37. 36 indexed citations
17.
Byram, Kevin, Annette Oeser, MacRae F. Linton, et al.. (2018). Exercise is Associated With Increased Small HDL Particle Concentration and Decreased Vascular Stiffness in Rheumatoid Arthritis. JCR Journal of Clinical Rheumatology. 24(8). 417–421. 12 indexed citations
18.
Burnett, Omer L., et al.. (2016). Evaluating the Role of Urinalysis for Suspected Cystitis in Women Undergoing Pelvic Radiotherapy. International Journal of Gynecological Cancer. 1–1. 5 indexed citations
19.
Sreih, Antoine G., Narender Annapureddy, Jason Springer, et al.. (2016). Development and validation of case‐finding algorithms for the identification of patients with anti‐neutrophil cytoplasmic antibody‐associated vasculitis in large healthcare administrative databases. Pharmacoepidemiology and Drug Safety. 25(12). 1368–1374. 30 indexed citations
20.
Rowe, Steven M., K Varga, András Rab, et al.. (2007). Restoration of W1282X CFTR Activity by Enhanced Expression. American Journal of Respiratory Cell and Molecular Biology. 37(3). 347–356. 51 indexed citations

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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