M. Pendergrass

562 total citations
10 papers, 446 citations indexed

About

M. Pendergrass is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, M. Pendergrass has authored 10 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in M. Pendergrass's work include Biomedical Text Mining and Ontologies (2 papers), Diabetes Treatment and Management (2 papers) and Topic Modeling (2 papers). M. Pendergrass is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Diabetes Treatment and Management (2 papers) and Topic Modeling (2 papers). M. Pendergrass collaborates with scholars based in United States. M. Pendergrass's co-authors include Ralph A. DeFronzo, Ronald E. Aubert, Steven M. Haffner, Jonathan S. Einbinder, Alexander Turchin, Nikheel S. Kolatkar, Richard W. Grant, Eric C. Makhni, S. M. Haffner and John J. Koval and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Journal of the American Medical Informatics Association.

In The Last Decade

M. Pendergrass

10 papers receiving 435 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Pendergrass United States 7 211 147 98 98 54 10 446
Michelle J. Pena Netherlands 15 220 1.0× 188 1.3× 92 0.9× 90 0.9× 111 2.1× 35 665
Moneeza K. Siddiqui United Kingdom 12 102 0.5× 234 1.6× 76 0.8× 77 0.8× 92 1.7× 35 580
Ulla T. Schultheiß Germany 17 299 1.4× 197 1.3× 74 0.8× 32 0.3× 79 1.5× 43 883
P. Hougaard Denmark 6 90 0.4× 348 2.4× 193 2.0× 140 1.4× 84 1.6× 10 818
D. L. van der A Netherlands 7 70 0.3× 237 1.6× 46 0.5× 98 1.0× 99 1.8× 8 537
Elizabeth Kern United States 9 71 0.3× 90 0.6× 44 0.4× 45 0.5× 67 1.2× 11 450
Hernan Rincon-Choles United States 11 154 0.7× 111 0.8× 95 1.0× 75 0.8× 62 1.1× 22 625
Nikheel S. Kolatkar United States 11 128 0.6× 139 0.9× 70 0.7× 28 0.3× 26 0.5× 17 407
Adem Y. Dawed United Kingdom 12 151 0.7× 256 1.7× 132 1.3× 79 0.8× 50 0.9× 21 450
Bassam Farran United Kingdom 10 93 0.4× 217 1.5× 62 0.6× 35 0.4× 151 2.8× 14 578

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-authorship network of co-authors of M. Pendergrass

This figure shows the co-authorship network connecting the top 25 collaborators of M. Pendergrass. A scholar is included among the top collaborators of M. Pendergrass 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 M. Pendergrass. M. Pendergrass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Pendergrass, M., et al.. (2013). Unanticipated Pathology in the Uterine Specimen at the Time of Robotic Sacrocolpopexy. Journal of Minimally Invasive Gynecology. 20(6). S55–S55. 1 indexed citations
2.
Pendergrass, M., et al.. (2012). Exenatide and sitagliptin are not associated with increased risk of acute renal failure: a retrospective claims analysis. Diabetes Obesity and Metabolism. 14(7). 596–600. 47 indexed citations
3.
Aubert, Ronald E., et al.. (2010). Rosiglitazone and pioglitazone increase fracture risk in women and men with type 2 diabetes. Diabetes Obesity and Metabolism. 12(8). 716–721. 112 indexed citations
4.
Turchin, Alexander, et al.. (2009). Comparison of Information Content of Structured and Narrative Text Data Sources on the Example of Medication Intensification. Journal of the American Medical Informatics Association. 16(3). 362–370. 30 indexed citations
5.
Pendergrass, M., Mary E. Gordinier, Lynn P. Parker, Daniel S. Metzinger, & C. William Helm. (2007). Retraction of an intraperitoneal chemotherapy port: a case report and literature review. International Journal of Gynecological Cancer. 17(5). 1131–1133. 3 indexed citations
6.
Turchin, Alexander, Nikheel S. Kolatkar, Richard W. Grant, et al.. (2006). Using Regular Expressions to Abstract Blood Pressure and Treatment Intensification Information from the Text of Physician Notes. Journal of the American Medical Informatics Association. 13(6). 691–695. 76 indexed citations
7.
8.
Pendergrass, M., John J. Koval, C Vogt, et al.. (1998). Insulin-induced hexokinase II expression is reduced in obesity and NIDDM.. Diabetes. 47(3). 387–394. 100 indexed citations
9.
Pendergrass, M., et al.. (1995). Non-insulin-dependent diabetes mellitus and gestational diabetes mellitus: Same disease, another name?. 3(4). 566–583. 45 indexed citations
10.
Thiessen, D. D. & M. Pendergrass. (1985). Change of Pelage Lipids in the Mongolian Gerbil, Meriones unguiculatus, as the Result of Autogrooming and Sandliving. Journal of Mammalogy. 66(3). 469–475. 4 indexed citations

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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