Diana M. Lee

1.6k citations
38 papers · 1.3k indexed · h-index 17
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)Cancer, Lipids, and Metabolism (9 papers)Lipoproteins and Cardiovascular Health (7 papers)
Partner nations
United StatesSwedenJapan

In The Last Decade

Diana M. Lee

38 papers receiving 1.2k citations

Peers

Diana M. Lee
Comparison fields: 5 of 111
  • Surgery 581
  • Endocrinology, Diabetes and Metabolism 545
  • Molecular Biology 471
  • Cancer Research 315
  • Cardiology and Cardiovascular Medicine 179
Replace Antonio M. Gotto with:
Antonio M. Gotto United States
Teizo Sata Japan
Megan Settle United States
A. Holasek Austria
Waldo R. Fisher United States
Daniel L. Sparks Canada
V. Blaton Belgium
Mark C. Kowala United States
Constanze Bergt United States
Marie Lhomme France
Diana M. Lee relative to Antonio M. Gotto United States Antonio M. Gotto's profile →
Citations per field
00.5×1.5×
Antonio M. Gotto · 1×
Citations per year

Countries citing papers authored by Diana M. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Diana M. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana M. Lee. 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 Diana M. Lee. The network helps show where Diana M. Lee may publish in the future.

Co-authorship network of co-authors of Diana M. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Diana M. Lee. A scholar is included among the top collaborators of Diana M. Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diana M. Lee. Diana M. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 61
3 55
4 7
5
Brief Note: Discovery of the Federally Endangered Freshwater Mussel, Epioblasma obliquata obliquata (Rafinesque, 1820) (Unionidae), in Ohio
6
6 2
7 1
8 4
9 9
10 10
11 12
12 16
13 25
14 19
15 107
16 85
17 29
18 196
19 10
20 156

About Diana M. Lee

Diana M. Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Biochemistry, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Cancer, Lipids, and Metabolism (9 papers) and Lipoproteins and Cardiovascular Health (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (545 citations), Cancer Research (315 citations) and Biochemistry (107 citations). Diana M. Lee has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Petar Alaupovic, Walter J. McConathy, Anthony J. Valente, Shyam Singh, Nassrin Dashti, Shuan Shian Huang, Eugen Koren, Shyam Singh, Ola Samuelsson and Per‐Ola Attman. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Biochemistry.

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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