Gail S. Kerr

14.9k citations
114 papers · 6.8k indexed · 2 hit papers · h-index 33

Gail S. Kerr

109 papers receiving 6.6k citations

Hit Papers

Takayasu Arteritis1.1k199220262003201450010001.5k

Peers

Gail S. Kerr
Comparison fields: 5 of 116
  • Rheumatology 3.0k
  • Pulmonary and Respiratory Medicine 4.6k
  • Nephrology 867
  • Genetics 942
  • Physiology 1.8k
Replace Xavier Puéchal with:
Xavier Puéchal France
Luc Mouthon France
Pilar Brito‐Zerón Spain
B. Wechsler France
David G. I. Scott United Kingdom
Christian Dejaco Austria
Stanley L. Wallace United States
Gerard Espinosa Spain
Marta Mosca Italy
Lorraine Harper United Kingdom
Gail S. Kerr relative to Xavier Puéchal France Xavier Puéchal's profile →
Citations per field
00.5×1.5×2.1×
Xavier Puéchal · 1×
Citations per year

Countries citing papers authored by Gail S. Kerr

Since Specialization
Citations

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

Fields of papers citing papers by Gail S. Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail S. Kerr. 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 Gail S. Kerr. The network helps show where Gail S. Kerr may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gail S. Kerr, 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 Gail S. Kerr Line = papers co-authored together Gail S. Kerr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5 20240
6 20240
7 202412
8 20231
9 20224
10 202222
11 201927
12 20196
13 201179
14 201122
15 201083
16 201039
17 200011
18 1995136
19
Wegener Granulomatosis: An Analysis of 158 Patientsbreakdown →
19921958
20 199114

About Gail S. Kerr

Gail S. Kerr is a scholar working on Rheumatology, Genetics and Nephrology, having authored 114 papers that have together received 6.8k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (51 papers), Systemic Lupus Erythematosus Research (23 papers), Vasculitis and related conditions (23 papers), Sarcoidosis and Beryllium Toxicity Research (15 papers), Chronic Lymphocytic Leukemia Research (10 papers), Autoimmune and Inflammatory Disorders Research (10 papers), Lymphoma Diagnosis and Treatment (10 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers). The work is most often cited by research in Rheumatology (3.0k citations), Pulmonary and Respiratory Medicine (4.6k citations) and Nephrology (867 citations). Gail S. Kerr has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include Gary S. Hoffman, Claire W. Hallahan, Randi Y. Leavitt, Menachem Rottem, Robert S. Lebovics, William D. Travis, Anthony S. Fauci, Anthony S. Fauci, A S Fauci and M. Rottem. Their work appears in journals such as Annals of Internal Medicine, American Journal of Respiratory and Critical Care Medicine and BMJ.

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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