Kevin R. Regner

1.6k citations
50 papers · 1.0k · h-index 20

Impact in

  • Nephrology top 2%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Eicosanoids and Hypertension Pharmacology

Papers in

Kevin R. Regner

48 papers receiving 1.0k citations

Peers

Kevin R. Regner
Comparison fields: 5 of 95
  • Nephrology 222
  • Biochemistry 107
  • Health Informatics 18
  • Hepatology 67
  • Cancer Research 126
Replace Jiefu Zhu with:
Jiefu Zhu China
Thomas Koeck Germany
Raquel Rodrigues‐Díez Spain
Keisuke Kohno Japan
Andrea Baragetti Italy
Xu Guan China
Masahide Matsuyama Japan
Juan Gimenez United States
Tomokazu Okado Japan
Tongyu Zhu China
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Citations per field
00.5×4.8×
Jiefu Zhu · 1×
Citations per year

Countries citing papers authored by Kevin R. Regner

Since Specialization
Citations

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

Fields of papers citing papers by Kevin R. Regner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201793
2 202071
3 200871
4 201164
5 200862
6 201861
7 201848
8 200943
9 201136
10 201436
11 201231
12 201030
13 200530
14 202127
15 201024
16 201523
17 201223
18 200222
19 200221
20 201621

About Kevin R. Regner

Kevin R. Regner is a scholar working on Nephrology, Molecular Biology, Hepatology, Surgery and Pathology and Forensic Medicine, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (13 papers), Liver Disease and Transplantation (9 papers), Chronic Kidney Disease and Diabetes (8 papers), Renal and related cancers (5 papers), Renin-Angiotensin System Studies (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Nephrology (222 citations), Biochemistry (107 citations), Health Informatics (18 citations), Hepatology (67 citations) and Cancer Research (126 citations). Kevin R. Regner has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Richard J. Roman, Frank Park, Mingyu Liang, Pengyuan Liu, John R. Falck, Michael R. Garrett, Yong Liu, Brian L. Fish, Richard J. Roman and John E. Moulder. Their work appears in journals such as Journal of the American Society of Nephrology, American Journal of Physiology-Renal Physiology, The FASEB Journal, Kidney International and American Journal of Kidney 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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