Kenneth H. Gabbay

13.2k citations
116 papers · 11.0k indexed · 4 hit papers · h-index 55

Kenneth H. Gabbay

116 papers receiving 10.2k citations

Hit Papers

The Glycosylation of Hemoglobin: Relevance to Diabetes Me...7401973202619902008200400600

Peers

Kenneth H. Gabbay
Comparison fields: 5 of 144
  • Cell Biology 4.0k
  • Endocrinology, Diabetes and Metabolism 3.4k
  • Clinical Biochemistry 1.1k
  • Pediatrics, Perinatology and Child Health 1.6k
  • Physiology 2.0k
Replace Philip W. Shaul with:
Philip W. Shaul United States
Tomoichiro Asano Japan
W. Waldhäusl Austria
Ronald G. Tilton United States
Andrew P. Levy Israel
C. Ronald Kahn United States
Simeon I. Taylor United States
Yasuo Ido United States
Marten H. Hofker Netherlands
Arnold W. Strauss United States
Kenneth H. Gabbay relative to Philip W. Shaul United States Philip W. Shaul's profile →
Citations per field
00.5×2.9×
Philip W. Shaul · 1×
Citations per year

Countries citing papers authored by Kenneth H. Gabbay

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth H. Gabbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth H. Gabbay. 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 Kenneth H. Gabbay. The network helps show where Kenneth H. Gabbay may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20173
2 200721
3 2005199
4 200516
5 200141
6 199931
7 199978
8 199716
9 19963
10 1995110
11 199420
12 199473
13 1994128
14 199315
15 199024
16 198830
17 198815
18 198010
19 19775
20 196878

About Kenneth H. Gabbay

Kenneth H. Gabbay is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 116 papers that have together received 11.0k indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (46 papers), Pancreatic function and diabetes (30 papers), Prenatal Substance Exposure Effects (21 papers), Diabetes and associated disorders (17 papers), Metabolism, Diabetes, and Cancer (13 papers), Heme Oxygenase-1 and Carbon Monoxide (12 papers), Diabetes Management and Research (9 papers) and Biochemical effects in animals (8 papers). The work is most often cited by research in Cell Biology (4.0k citations), Endocrinology, Diabetes and Metabolism (3.4k citations) and Clinical Biochemistry (1.1k citations). Kenneth H. Gabbay has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Kurt M. Bohren, Paul M. Gallop, H. Franklin Bunn, David Owerbach, Christine Balko, Ralf Steinmetz, David N. Haney, Bryant P. Bullock, L Merola and Bendicht Wermuth. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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