James Brown

19 papers receiving 216 citations

Peers

James Brown
Comparison fields: 5 of 44
  • Critical Care and Intensive Care Medicine 27
  • Nephrology 23
  • Cardiology and Cardiovascular Medicine 51
  • Pulmonary and Respiratory Medicine 43
  • Neurology 20
Replace Dao-Kuo Yao with:
Dao-Kuo Yao China
Darrell B. Newman United States
Annette Wacker Germany
Anna Herminghaus Germany
Giovanni Truscelli Italy
Chang Xiong China
Lanlan Li China
Emin Evren Özcan Türkiye
Nigel Lewis United Kingdom
David Reich United States
James Brown relative to Dao-Kuo Yao China Dao-Kuo Yao's profile →
Citations per field
00.5×4.8×
Dao-Kuo Yao · 1×
Citations per year

Countries citing papers authored by James Brown

Since Specialization
Citations

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

Fields of papers citing papers by James Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199531
2 202230
3 201929
4 202026
5 202217
6 202415
7
Ongoing Exercise Intolerance Following COVID‐19: A Magnetic Resonance–Augmented Cardiopulmonary Exercise Test Study
202213
8 202112
9 200512
10 202111
11 20207
12 20236
13 20225
14 20242
15 20222
16 20242
17 20191
18 20241
19 20241

About James Brown

James Brown is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Infectious Diseases and Surgery, having authored 19 papers that have together received 223 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Systemic Sclerosis and Related Diseases (4 papers), Pulmonary Hypertension Research and Treatments (4 papers), COVID-19 Clinical Research Studies (2 papers), Cardiac Arrest and Resuscitation (2 papers), Cardiac Imaging and Diagnostics (1 paper), Hormonal and reproductive studies (1 paper) and Inhalation and Respiratory Drug Delivery (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (27 citations), Nephrology (23 citations), Cardiology and Cardiovascular Medicine (51 citations), Pulmonary and Respiratory Medicine (43 citations) and Neurology (20 citations). James Brown has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Daniel Knight, Marianna Fontana, Vivek Muthurangu, Tushar Kotecha, Ana Martinez–Naharro, Craig A. Metz, Gerald M. Larson, Gerry Coghlan, Philip I. Burgess and Yousuf Razvi. Their work appears in journals such as European Heart Journal - Cardiovascular Imaging, Journal of Cardiovascular Magnetic Resonance, Magnetic Resonance in Medicine, European Heart Journal and Lara D. Veeken.

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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