Eldon D. Lehmann

4.6k citations
116 papers · 2.9k · h-index 31

Impact in

Papers in

Eldon D. Lehmann

116 papers receiving 2.8k citations

Peers

Eldon D. Lehmann
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Cardiology and Cardiovascular Medicine 936
  • Health Information Management 142
  • Surgery 537
  • Genetics 296
Replace Katerina Κ. Naka with:
Katerina Κ. Naka Greece
Peter Diem Switzerland
Gurpreet Singh Wander India
Alberto Maran Italy
T M Hayes United Kingdom
Girish Dwivedi Australia
Huating Li China
Laël C. Gatewood United States
Diego Ardigò Italy
Xuhong Hou China
Eldon D. Lehmann relative to Katerina Κ. Naka Greece Katerina Κ. Naka's profile →
Citations per field
00.5×3.1×
Katerina Κ. Naka · 1×
Citations per year

Countries citing papers authored by Eldon D. Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Eldon D. Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eldon D. Lehmann. 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 Eldon D. Lehmann. The network helps show where Eldon D. Lehmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992337
2 1992201
3 1998136
4 1997119
5 199394
6 199284
7 201182
8 199367
9 199564
10 199663
11 199558
12 199856
13 199251
14 199450
15 199550
16 199648
17 200747
18 199843
19 199442
20 199741

About Eldon D. Lehmann

Eldon D. Lehmann is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Genetics and Molecular Biology, having authored 116 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diabetes Management and Research (71 papers), Diabetes Management and Education (34 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (22 papers), Cardiovascular Health and Disease Prevention (17 papers), Diabetes Treatment and Management (14 papers), Cardiovascular Function and Risk Factors (12 papers), Diabetes and associated disorders (10 papers) and Metabolism, Diabetes, and Cancer (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Cardiology and Cardiovascular Medicine (936 citations), Health Information Management (142 citations), Surgery (537 citations) and Genetics (296 citations). Eldon D. Lehmann has collaborated with scholars based in United Kingdom, Hungary and Canada. Frequent co-authors include Tibor Deutsch, R.G. Gosling, Kathleen Hopkins, P.H. Sönksen, R. G. Gosling, E.R. Carson, Patrizio Tatti, M. G. Taylor, Peter Clarkson and Ward A. Riley. Their work appears in journals such as Diabetes Technology & Therapeutics, The Lancet, Computer Methods and Programs in Biomedicine, Journal of Diabetes Science and Technology and Clinical Science.

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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