Thomas A. Buchanan

24.4k total citations · 2 hit papers
124 papers, 8.8k citations indexed

About

Thomas A. Buchanan is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology. According to data from OpenAlex, Thomas A. Buchanan has authored 124 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Endocrinology, Diabetes and Metabolism, 30 papers in Physiology and 28 papers in Molecular Biology. Recurrent topics in Thomas A. Buchanan's work include Gestational Diabetes Research and Management (28 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers) and Metabolism, Diabetes, and Cancer (20 papers). Thomas A. Buchanan is often cited by papers focused on Gestational Diabetes Research and Management (28 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers) and Metabolism, Diabetes, and Cancer (20 papers). Thomas A. Buchanan collaborates with scholars based in United States, Canada and Finland. Thomas A. Buchanan's co-authors include Siri L. Kjos, Anny H. Xiang, Ruth Peters, Boyd E. Metzger, Richard N. Bergman, John L. Kitzmiller, Willa A. Hsueh, Richard M. Watanabe, Norbert Freinkel and Christos Zoupas and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

Thomas A. Buchanan

123 papers receiving 8.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Summary and Recommendations of the Fifth International Workshop-Conference on Gestational Diabetes Mellitus

2007 1.3k citations Thomas A. Buchanan, Siri L. Kjos et al. profile →
Pioglitazone for Diabetes Prevention in Impaired Glucose Tolerance

2011 523 citations Thomas A. Buchanan, Howard N. Hodis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas A. Buchanan United States	50	3.5k	2.8k	2.5k	1.7k	1.6k	124	8.8k
Ravi Retnakaran Canada	55	4.4k 1.3×	3.7k 1.3×	2.9k 1.2×	1.7k 1.0×	2.5k 1.5×	272	11.7k
Siri L. Kjos United States	41	4.8k 1.4×	2.2k 0.8×	2.7k 1.1×	986 0.6×	2.0k 1.2×	82	7.2k
Elisabeth R. Mathiesen Denmark	50	5.9k 1.7×	3.8k 1.4×	2.7k 1.1×	896 0.5×	2.8k 1.7×	251	11.1k
Linda A. Barbour United States	40	2.8k 0.8×	2.2k 0.8×	1.1k 0.5×	886 0.5×	2.3k 1.4×	97	6.7k
Berthold Hocher Germany	53	1.0k 0.3×	1.6k 0.6×	1.1k 0.4×	2.2k 1.2×	1.6k 1.0×	355	9.4k
Dilys J. Freeman United Kingdom	33	1.3k 0.4×	1.8k 0.6×	1.5k 0.6×	637 0.4×	1.0k 0.6×	74	5.1k
Teri L. Hernandez United States	34	1.7k 0.5×	1.1k 0.4×	1.1k 0.4×	836 0.5×	1.2k 0.7×	87	5.3k
Julie R. Ingelfinger United States	57	928 0.3×	2.2k 0.8×	1.1k 0.5×	3.4k 2.0×	1.9k 1.2×	253	10.6k
David R. McCance United Kingdom	34	2.7k 0.8×	1.2k 0.4×	1.0k 0.4×	418 0.2×	1.6k 1.0×	115	5.5k
Mark A. Sperling United States	38	583 0.2×	3.7k 1.3×	1.6k 0.7×	1.1k 0.6×	1.2k 0.8×	171	6.7k

Countries citing papers authored by Thomas A. Buchanan

Since Specialization

Citations

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

Fields of papers citing papers by Thomas A. Buchanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas A. Buchanan. 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 Thomas A. Buchanan. The network helps show where Thomas A. Buchanan may publish in the future.

Co-authorship network of co-authors of Thomas A. Buchanan

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

All Works

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20 of 20 papers shown

Luo, Shan, Eustace Hsu, Katherine E. Lawrence, et al.. (2023). Associations among prenatal exposure to gestational diabetes mellitus, brain structure, and child adiposity markers. Obesity. 31(11). 2699–2708. 6 indexed citations

Dieli‐Conwright, Christina M., Kerry S. Courneya, Wendy Demark‐Wahnefried, et al.. (2021). Aerobic and resistance exercise improve patient-reported sleep quality and is associated with cardiometabolic biomarkers in Hispanic and non-Hispanic breast cancer survivors who are overweight or obese: results from a secondary analysis. SLEEP. 44(10). 21 indexed citations

Reuter, Katja, et al.. (2021). Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study. JMIR Formative Research. 5(11). e29958–e29958. 2 indexed citations

Utzschneider, Kristina M., Andrea Mari, Mark Tripputi, et al.. (2019). 124-OR: Comparison of OGTT Model-Derived Measures of ß-Cell Function between Youth and Adults. Diabetes. 68(Supplement_1). 1 indexed citations

Dieli‐Conwright, Christina M., Kerry S. Courneya, Wendy Demark‐Wahnefried, et al.. (2018). Effects of Aerobic and Resistance Exercise on Metabolic Syndrome, Sarcopenic Obesity, and Circulating Biomarkers in Overweight or Obese Survivors of Breast Cancer: A Randomized Controlled Trial. Journal of Clinical Oncology. 36(9). 875–883. 271 indexed citations

Dieli‐Conwright, Christina M., Frank C. Sweeney, Kerry S. Courneya, et al.. (2018). Hispanic ethnicity as a moderator of the effects of aerobic and resistance exercise in survivors of breast cancer. Cancer. 125(6). 910–920. 18 indexed citations

Reuter, Katja, Sarah Cole, Ricky N. Bluthenthal, et al.. (2018). Monitoring Twitter Conversations for Targeted Recruitment in Cancer Trials in Los Angeles County: Protocol for a Mixed-Methods Pilot Study. JMIR Research Protocols. 7(9). e177–e177. 11 indexed citations

Hannon, Tamara S., Steven E. Kahn, Kristina M. Utzschneider, et al.. (2017). Review of methods for measuring β‐cell function: D esign considerations from the R estoring I nsulin S ecretion ( RISE ) C onsortium. Diabetes Obesity and Metabolism. 20(1). 14–24. 57 indexed citations

Guo, Xiuqing, Jinrui Cui, Michelle R. Jones, et al.. (2012). Insulin clearance: confirmation as a highly heritable trait, and genome-wide linkage analysis. Diabetologia. 55(8). 2183–2192. 26 indexed citations

10.

Farook, Vidya S., Sobha Puppala, Jennifer L. Schneider, et al.. (2012). Metabolic Syndrome Is Linked to Chromosome 7q21 and Associated With Genetic Variants in CD36 and GNAT3 in Mexican Americans. Obesity. 20(10). 2083–2092. 25 indexed citations

11.

Li, Xia, Hooman Allayee, Anny H. Xiang, et al.. (2009). Variation in IGF2BP2 Interacts With Adiposity to Alter Insulin Sensitivity in Mexican Americans. Obesity. 17(4). 729–736. 34 indexed citations

12.

Xiang, Anny H., Howard N. Hodis, Miwa Kawakubo, et al.. (2007). Effect of pioglitazone on progression of subclinical atherosclerosis in non-diabetic premenopausal Hispanic women with prior gestational diabetes. Atherosclerosis. 199(1). 207–214. 32 indexed citations

13.

Mohlke, Karen L., Anne Jackson, Laura J. Scott, et al.. (2005). Mitochondrial polymorphisms and susceptibility to type 2 diabetes-related traits in Finns. Human Genetics. 118(2). 245–254. 63 indexed citations

14.

Calverley, David C., et al.. (2003). Increased platelet Fc receptor expression as a potential contributing cause of platelet hypersensitivity to collagen in diabetes mellitus. British Journal of Haematology. 121(1). 139–142. 38 indexed citations

15.

Dubé, Michael P., et al.. (2001). Prospective Evaluation of the Effect of Initiating Indinavir-Based Therapy on Insulin Sensitivity and B-Cell Function in HIV-Infected Patients. JAIDS Journal of Acquired Immune Deficiency Syndromes. 27(2). 130–134. 75 indexed citations

16.

Davis, Richard C., Leslie J. Raffel, Anny H. Xiang, et al.. (2000). Blood Pressure and Insulin Resistance Cosegregate at Two Distinct Regions on Chromosome 7. Hypertension. 36. 718–718. 1 indexed citations

17.

Buchanan, Thomas A. & Siri L. Kjos. (1999). Gestational Diabetes: Risk or Myth?. The Journal of Clinical Endocrinology & Metabolism. 84(6). 1854–1857. 66 indexed citations

18.

Peters, Ruth, et al.. (1996). Long-term diabetogenic effect of single pregnancy in women with previous gestational diabetes mellitus. The Lancet. 347(8996). 227–230. 208 indexed citations

19.

Buchanan, Thomas A., Young Y. Jeng, David T. Yang, et al.. (1995). Blood pressure lowering by pioglitazone. Evidence for a direct vascular effect.. Journal of Clinical Investigation. 96(1). 354–360. 206 indexed citations

20.

Buchanan, Thomas A., et al.. (1991). Hypothermia is critical for survival during prolonged insulin-induced hypoglycemia in rats. Metabolism. 40(3). 330–334. 48 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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