John R. Erbey

2.7k citations
16 papers · 2.0k indexed · h-index 12

Impact in

Papers in

John R. Erbey

16 papers receiving 1.9k citations

Peers

John R. Erbey
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cardiology and Cardiovascular Medicine 589
  • Family Practice 39
  • Nephrology 121
  • Surgery 594
Replace S. Motoyoshi with:
S. Motoyoshi Japan
Yasuo Ohkubo Japan
Naohiko Furuyoshi Japan
Peter C.Y. Tong Hong Kong
F. Travert France
Cecilia C. Low Wang United States
Barbara G. Kravitz United States
Helen Millns United Kingdom
N. J. Morrish United Kingdom
Søren S. Lund Germany
John R. Erbey relative to S. Motoyoshi Japan S. Motoyoshi's profile →
Citations per field
00.5×6.1×
S. Motoyoshi · 1×
Citations per year

Countries citing papers authored by John R. Erbey

Since Specialization
Citations

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

Fields of papers citing papers by John R. Erbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005195
2 20041
3 200490
4 20044
5 2003369
6 200274
7 2001449
8 200070
9 2000438
10 199923
11 199962
12
Urinary measurement of transforming growth factor-beta and type IV collagen as new markers of renal injury: application in diabetic nephropathy.
199860
13 199871
14 199846
15 199711
16 19954

About John R. Erbey

John R. Erbey is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice, Nephrology, Cancer Research and Ophthalmology, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes Management and Research (6 papers), Diabetes Treatment and Management (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Blood properties and coagulation (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cancer, Lipids, and Metabolism (2 papers), Retinal Diseases and Treatments (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (589 citations), Family Practice (39 citations), Nephrology (121 citations) and Surgery (594 citations). John R. Erbey has collaborated with scholars based in United States and Germany. Frequent co-authors include Trevor J. Orchard, Katherine V. Williams, Jonathan B. Brown, Teresa A. Hillier, Gregory A. Nichols, Kimberly Y.Z. Forrest, Silva Arslanian, D J Becker, Demetrius Ellis and Jon C. Olson. Their work appears in journals such as Diabetes Care, Metabolism, Clinical Chemistry, Nutrition Metabolism and Cardiovascular Diseases and PharmacoEconomics.

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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