Saul Genuth

19.8k citations
112 papers · 11.9k indexed · 1 hit paper · h-index 43

Impact in

Papers in

Saul Genuth

111 papers receiving 11.2k citations

Hit Papers

Effects of Intensive Glucose Lowering in Type 2 Diabetes 2008 · 5.5k citations
5.5k200820262014202010002.0k3.0k4.0k5.0k

Peers

Saul Genuth
Comparison fields: 5 of 159
  • Endocrinology, Diabetes and Metabolism 7.3k
  • Clinical Biochemistry 1.3k
  • Nephrology 695
  • Cardiology and Cardiovascular Medicine 2.2k
  • Physiology 1.6k
Replace John Fuller with:
John Fuller United Kingdom
William C. Duckworth United States
Philip Raskin United States
Jorge Luiz Gross Brazil
H. A. W. Neil United Kingdom
Yasuhiko Iwamoto Japan
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C A Cull United Kingdom
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Saul Genuth relative to John Fuller United Kingdom John Fuller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Saul Genuth

Since Specialization
Citations

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

Fields of papers citing papers by Saul Genuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20191
2 201678
3 201621
4 201551
5 201528
6 2014229
7 201357
8 201333
9 20132
10
Haptoglobin Genotype and the Rate of Renal Function Decline in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study
20133
11 201172
12 2010349
13 200824
14 200748
15 2007180
16 2006190
17 2006100
18 20008
19 198914
20 196721

About Saul Genuth

Saul Genuth is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Physiology, Nephrology and Cardiology and Cardiovascular Medicine, having authored 112 papers that have together received 11.9k indexed citations. Recurring topics across this work include Diabetes Management and Research (42 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers), Diabetes Treatment and Management (23 papers), Diet and metabolism studies (17 papers), Diabetes and associated disorders (14 papers), Metabolism, Diabetes, and Cancer (14 papers), Pancreatic function and diabetes (14 papers) and Advanced Glycation End Products research (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.3k citations), Clinical Biochemistry (1.3k citations), Nephrology (695 citations), Cardiology and Cardiovascular Medicine (2.2k citations) and Physiology (1.6k citations). Saul Genuth has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Faramarz Ismail‐Beigi, Hertzel C. Gerstein, David C. Goff, Richard H. Grimm, William C. Cushman, John B. Buse, Denise G. Simons‐Morton, Robert P. Byington, Michael E. Miller and J. Thomas Bigger. Their work appears in journals such as Diabetes, Diabetes Care, The Journal of Clinical Endocrinology & Metabolism, Metabolism and Annals of Internal 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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