M. Pendergrass

563 citations
10 papers · 446 · h-index 7

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Intraperitoneal and Appendiceal Malignancies 1
    • Vascular Malformations and Hemangiomas 1

M. Pendergrass

10 papers receiving 435 citations

Peers

M. Pendergrass
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 120
  • Obstetrics and Gynecology 33
  • Health Information Management 17
  • Physiology 79
  • Orthopedics and Sports Medicine 24
Replace Nikheel S. Kolatkar with:
Nikheel S. Kolatkar United States
Ritu Singh India
Adem Y. Dawed United Kingdom
Barbara Idzior−Waluś Poland
J Pedro‐Botet Spain
Seyıt Ahmet Ay Türkiye
Seftel Hc South Africa
George Phillipov Australia
Alessandra Saldanha de Mattos Matheus Brazil
Chun‐Heng Kuo Taiwan
M. Pendergrass relative to Nikheel S. Kolatkar United States Nikheel S. Kolatkar's profile →
Citations per field
00.5×11×
Nikheel S. Kolatkar · 1×
Citations per year

Countries citing papers authored by M. Pendergrass

Since Specialization
Citations

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

Fields of papers citing papers by M. Pendergrass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010113
2 199899
3 200676
4 201247
5
Non-insulin-dependent diabetes mellitus and gestational diabetes mellitus: Same disease, another name?
199545
6 200930
7 200628
8 19854
9 20073
10 20131

About M. Pendergrass

M. Pendergrass is a scholar working on Molecular Biology, Surgery, Artificial Intelligence, Obstetrics and Gynecology and Social Psychology, having authored 10 papers that have together received 446 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Biomedical Text Mining and Ontologies (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Intraperitoneal and Appendiceal Malignancies (1 paper), Muscle metabolism and nutrition (1 paper), Gestational Diabetes Research and Management (1 paper), Diabetes and associated disorders (1 paper) and Vascular Malformations and Hemangiomas (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (120 citations), Obstetrics and Gynecology (33 citations), Health Information Management (17 citations), Physiology (79 citations) and Orthopedics and Sports Medicine (24 citations). M. Pendergrass has collaborated with scholars based in United States. Frequent co-authors include Ralph A. DeFronzo, Ronald E. Aubert, Steven M. Haffner, Jonathan S. Einbinder, Alexander Turchin, Richard W. Grant, Nikheel S. Kolatkar, Eric C. Makhni, S. M. Haffner and Cynthia Fenton. Their work appears in journals such as Journal of the American Medical Informatics Association, Diabetes Obesity and Metabolism, Journal of Mammalogy, Diabetes and The Journal of Clinical Endocrinology & Metabolism.

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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