Thomas D Mehl

443 total citations
12 papers, 385 citations indexed

About

Thomas D Mehl is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Thomas D Mehl has authored 12 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Surgery. Recurrent topics in Thomas D Mehl's work include Metabolism, Diabetes, and Cancer (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Pancreatic function and diabetes (2 papers). Thomas D Mehl is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Pancreatic function and diabetes (2 papers). Thomas D Mehl collaborates with scholars based in United States, Ireland and United Kingdom. Thomas D Mehl's co-authors include Emil Chi, D. Nunn, Stephen Lory, T J Merimée, William J. Riley, L. Kennedy, Robert I. Misbin, Thomas J. Merimee, Laurence Kennedy and Matthew Varghese and has published in prestigious journals such as Diabetes Care, Diabetes and Biochemical and Biophysical Research Communications.

In The Last Decade

Thomas D Mehl

11 papers receiving 355 citations

Peers

Thomas D Mehl

MB

EDM

GENET

CB

SURGE

Giulia Canu Italy

L. Lundberg Sweden

Neelam Gulati India

Kiyonori Katsuragi Japan

Wern‐Cherng Cheng Taiwan

Bing Zheng China

Elisabeth Nowak France

Dennis G. Karounos United States

Sophie Mathieu France

Hiroshi Nakakubo Japan

Giulia Canu Italy

Thomas D Mehl

144 ×0.7

MB

56 ×0.5

EDM

111 ×1.6

GENET

146 ×2.6

CB

41 ×0.8

SURGE

Citations per year, relative to Thomas D Mehl Thomas D Mehl (= 1×) peers Giulia Canu

Countries citing papers authored by Thomas D Mehl

Since Specialization

Citations

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

Fields of papers citing papers by Thomas D Mehl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas D Mehl

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

All Works

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12 of 12 papers shown

1.

Weber, Stefanie, Kaan Harmankaya, Romina Nemecek, et al.. (2013). Prediction of Metastatic Events in Patients With Cutaneous Melanoma. 220–223. 1 indexed citations

2.

Mehl, Thomas D, et al.. (2012). INTEGRATION OF CLINICAL DECISION SUPPORT INTO A HOSPITAL INFORMATION SYSTEM TO PREDICT METASTATIC EVENTS IN PATIENTS WITH MELANOMA. 1 indexed citations

3.

Chi, Emil, Thomas D Mehl, D. Nunn, & Stephen Lory. (1991). Interaction of Pseudomonas aeruginosa with A549 pneumocyte cells. Infection and Immunity. 59(3). 822–828. 150 indexed citations

4.

Mehl, Thomas D, et al.. (1983). Comparison of Two Indices of Glycemic Control in Diabetic Subjects: Glycosylated Serum Protein and Hemoglobin. Diabetes Care. 6(1). 34–39. 10 indexed citations

5.

Misbin, Robert I., E C Almira, William C. Duckworth, & Thomas D Mehl. (1983). INHIBITION OF INSULIN DEGRADATION BY INSULIN-LIKE GROWTH FACTORS. Endocrinology. 113(4). 1525–1527. 31 indexed citations

6.

Kennedy, Laurence, Thomas D Mehl, Elizabeth Elder, Matthew Varghese, & Thomas J. Merimee. (1982). Nonenzymatic Glycosylation of Serum and Plasma Proteins. Diabetes. 31(Supplement_3). 52–56. 49 indexed citations

7.

Merimee, Thomas J., et al.. (1981). Serum Glycosidase Activity in Diabetes Mellitus. Diabetes. 30(2). 115–118. 16 indexed citations

8.

Misbin, Robert I., et al.. (1981). Synthesis of tritiated rat insulin with high specific activity: A method for radiolabeling the active site of insulin. Biochemical and Biophysical Research Communications. 99(4). 1058–1064. 4 indexed citations

9.

Kennedy, L., Thomas D Mehl, William J. Riley, & T J Merimée. (1981). Non-enzymatically glycosylated serum protein in diabetes mellitus: An index of short-term glycaemia. Diabetologia. 21(2). 94–8. 86 indexed citations

10.

Misbin, Robert I., et al.. (1980). Binding and Degradation of Semisynthetic Tritiated Insulin by IM-9 Cultured Human Lymphocytes. Diabetes. 29(9). 730–735. 28 indexed citations

11.

Misbin, Robert I. & Thomas D Mehl. (1980). Insulin receptor binding and degradation in IM-9 cultured human lymphocytes — Importance of extracellular degradation. Journal of Endocrinological Investigation. 3(1). 77–81. 8 indexed citations

12.

Mackler, Bruce, Robert J. Erickson, Starkey D. Davis, et al.. (1968). Studies of the electron transport systems of heart muscle: Biochemical and antigenic properties of a soluble DPNH dehydrogenase. Archives of Biochemistry and Biophysics. 125(1). 40–45. 1 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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