Kyle E. Brown

2.8k citations
79 papers · 2.0k indexed · h-index 25

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
  • Hematology top 2%
    • Iron Metabolism and Disorders

Papers in

    • Liver Disease and Transplantation 12
    • Hepatitis C virus research 8
    • Iron Metabolism and Disorders 27

Kyle E. Brown

75 papers receiving 2.0k citations

Peers

Kyle E. Brown
Comparison fields: 5 of 133
  • Hepatology 543
  • Hematology 394
  • Genetics 272
  • Nutrition and Dietetics 334
  • Epidemiology 610
Replace Hisashi Tsurumi with:
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Masao Fujimoto Japan
Keisuke Hino Japan
Mukunda B. Ray United States
Masataka Okuno Japan
Hideto Kawaratani Japan
Nadeem Sheikh Pakistan
Wei Cai China
Fernando Silva Ramalho Brazil
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Kyle E. Brown relative to Hisashi Tsurumi Japan Hisashi Tsurumi's profile →
Citations per field
00.5×4.1×
Hisashi Tsurumi · 1×
Citations per year

Countries citing papers authored by Kyle E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kyle E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011129
2 2001121
3 2019119
4 2008116
5 200290
6 199390
7 201082
8 200470
9 199766
10 201962
11 200357
12 201456
13 199853
14 200550
15 201748
16 200540
17 200337
18 200737
19 199631
20 200929

About Kyle E. Brown

Kyle E. Brown is a scholar working on Hepatology, Hematology, Genetics, Nutrition and Dietetics and Epidemiology, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (27 papers), Trace Elements in Health (23 papers), Hemoglobinopathies and Related Disorders (18 papers), Liver Disease Diagnosis and Treatment (18 papers), Liver Disease and Transplantation (12 papers), Hepatitis C virus research (8 papers), Heme Oxygenase-1 and Carbon Monoxide (8 papers) and Alcohol Consumption and Health Effects (6 papers). The work is most often cited by research in Hepatology (543 citations), Hematology (394 citations), Genetics (272 citations), Nutrition and Dietetics (334 citations) and Epidemiology (610 citations). Kyle E. Brown has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Warren N. Schmidt, Steven A. Bloomer, M. Meleah Mathahs, David A. Peura, Bruce A. Luxon, Jay W. Heinecke, Kimberly A. Broadhurst, Feng Wen, Zhaowen Zhu and Joseph Ahn. Their work appears in journals such as Hepatology, The American Journal of Gastroenterology, Free Radical Biology and Medicine, Cell Biochemistry and Function and The Journal of Infectious Diseases.

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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