John Brown

5.0k citations
86 papers · 3.0k · h-index 25

Impact in

Papers in

John Brown

84 papers receiving 3.0k citations

Peers

John Brown
Comparison fields: 5 of 128
  • Hematology 340
  • Cardiology and Cardiovascular Medicine 625
  • Critical Care and Intensive Care Medicine 130
  • Developmental Neuroscience 101
  • Neurology 142
Replace Nitza Lahat with:
Nitza Lahat Israel
Hartmut Engelmann Israel
Mark C. Dessing Netherlands
Thomas B. Issekutz Canada
S L Kunkel United States
Hideki Nakano Japan
Flavia Bazzoni Italy
G. Gordon MacPherson United Kingdom
Cédric Auffray France
Aleksey Chudnovskiy United States
John Brown relative to Nitza Lahat Israel Nitza Lahat's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Brown

Since Specialization
Citations

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

Fields of papers citing papers by John Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008408
2 2008260
3 2005220
4 1992154
5 1988136
6 1992132
7 2012130
8 2017124
9 1999116
10 2018110
11 2020105
12 200381
13 199379
14 201576
15 201358
16 201754
17 201352
18 201549
19 199736
20 199534

About John Brown

John Brown is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 86 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (8 papers), Acute Myeloid Leukemia Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Prion Diseases and Protein Misfolding (6 papers), Infective Endocarditis Diagnosis and Management (6 papers), Microbial infections and disease research (5 papers), Epigenetics and DNA Methylation (5 papers) and Sarcoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (340 citations), Cardiology and Cardiovascular Medicine (625 citations), Critical Care and Intensive Care Medicine (130 citations), Developmental Neuroscience (101 citations) and Neurology (142 citations). John Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Tariq Enver, Shamit Soneji, Raymond P. Campagnoli, Denise I. Bounous, Christopher J. Magovern, James P. Slater, Grant V.S. Parr, Rami Bustami, Theresa Guarino and Thomas Zaubler. Their work appears in journals such as Avian Diseases, JACC: Cardiovascular Interventions, The Medical Journal of Australia, The Annals of Thoracic Surgery and Scientific Reports.

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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