Kálmán Bódis

1.0k total citations
28 papers, 632 citations indexed

About

Kálmán Bódis is a scholar working on Epidemiology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kálmán Bódis has authored 28 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 11 papers in Physiology and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kálmán Bódis's work include Liver Disease Diagnosis and Treatment (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Pancreatic function and diabetes (6 papers). Kálmán Bódis is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Pancreatic function and diabetes (6 papers). Kálmán Bódis collaborates with scholars based in Germany, United Kingdom and Finland. Kálmán Bódis's co-authors include Michael Roden, Karsten Müssig, Julia Szendroedi, Daniel F. Markgraf, Volker Burkart, Tomáš Jeleník, Oana‐Patricia Zaharia, Yanislava Karusheva, Dan Ziegler and Gidon J. Bönhof and has published in prestigious journals such as Nature, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Kálmán Bódis

24 papers receiving 627 citations

Peers

Kálmán Bódis
Kathryn M. Spitler United States
Kálmán Bódis
Citations per year, relative to Kálmán Bódis Kálmán Bódis (= 1×) peers Kathryn M. Spitler

Countries citing papers authored by Kálmán Bódis

Since Specialization
Citations

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

Fields of papers citing papers by Kálmán Bódis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kálmán Bódis

This figure shows the co-authorship network connecting the top 25 collaborators of Kálmán Bódis. A scholar is included among the top collaborators of Kálmán Bódis 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 Kálmán Bódis. Kálmán Bódis 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
2.
Zaharia, Oana‐Patricia, Klaus Straßburger, Birgit Knebel, et al.. (2024). Role of patatin-like phospholipase domain-containing 3 gene for decreasing kidney function in recently diagnosed diabetes mellitus. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 18(10). 103137–103137. 1 indexed citations
3.
Bódis, Kálmán, Martin Schön, Birgit Knebel, et al.. (2023). Effects of TM6SF2 rs58542926 polymorphism on hepatocellular lipids and insulin resistance in early type 2 diabetes. Nutrition Metabolism and Cardiovascular Diseases. 33(9). 1785–1796. 3 indexed citations
4.
Bódis, Kálmán, Martin Schön, Klaus Straßburger, et al.. (2023). Homeostasis Model Assessment of β-Cell Function for Diagnosis of Insulinoma. The Journal of Clinical Endocrinology & Metabolism. 109(3). e1125–e1132.
5.
Zaharia, Oana‐Patricia, Martin Schön, Klaus Straßburger, et al.. (2022). Metabolic Factors Predict Changes in Endothelial Function During the Early Course of Type 1 and Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 107(10). e4167–e4176. 5 indexed citations
6.
Goletzke, Janina, Katharina S. Weber, Oana‐Patricia Zaharia, et al.. (2022). Relative validity of a glycemic index extended food-frequency questionnaire. Nutrition Metabolism and Cardiovascular Diseases. 32(10). 2310–2320. 2 indexed citations
7.
Straßburger, Klaus, Andrea Icks, Oliver Kuß, et al.. (2022). Socio‐economic inequalities in glycaemic control in recently diagnosed adults with type 1 and type 2 diabetes. Diabetic Medicine. 39(7). e14833–e14833. 7 indexed citations
8.
Bódis, Kálmán, Birgit Knebel, Bettina Nowotny, et al.. (2022). Hepatic energy metabolism in a family with a glucokinase gene mutation and dysglycemia. Diabetes Research and Clinical Practice. 185. 109779–109779. 1 indexed citations
9.
Karusheva, Yanislava, Klaus Straßburger, Daniel F. Markgraf, et al.. (2021). Branched-Chain Amino Acids Associate Negatively With Postprandial Insulin Secretion in Recent-Onset Diabetes. Journal of the Endocrine Society. 5(6). bvab067–bvab067. 15 indexed citations
10.
Zaharia, Oana‐Patricia, Yuliya Kupriyanova, Yanislava Karusheva, et al.. (2021). Improving insulin sensitivity, liver steatosis and fibrosis in type 2 diabetes by a food-based digital education-assisted lifestyle intervention program: a feasibility study. European Journal of Nutrition. 60(7). 3811–3818. 5 indexed citations
11.
Zaharia, Oana‐Patricia, Dominik Pesta, Pavel Bobrov, et al.. (2020). Reduced Muscle Strength Is Associated With Insulin Resistance in Type 2 Diabetes Patients With Osteoarthritis. The Journal of Clinical Endocrinology & Metabolism. 106(4). e1062–e1073. 9 indexed citations
12.
Lundbom, Jesper, Alessandra Bierwagen, Kálmán Bódis, et al.. (2019). 1H-MRS of femoral red and yellow bone marrow fat composition and water content in healthy young men and women at 3 T. Magnetic Resonance Materials in Physics Biology and Medicine. 32(5). 591–597. 5 indexed citations
13.
Karusheva, Yanislava, Klaus Straßburger, Daniel F. Markgraf, et al.. (2019). Short-term dietary reduction of branched-chain amino acids reduces meal-induced insulin secretion and modifies microbiome composition in type 2 diabetes: a randomized controlled crossover trial. American Journal of Clinical Nutrition. 110(5). 1098–1107. 135 indexed citations
14.
Lorenz, Linda F., Jennifer Axnick, Shentong Fang, et al.. (2018). Mechanosensing by β1 integrin induces angiocrine signals for liver growth and survival. Nature. 562(7725). 128–132. 120 indexed citations
15.
Bódis, Kálmán & Michael Roden. (2018). Energy metabolism of white adipose tissue and insulin resistance in humans. European Journal of Clinical Investigation. 48(11). e13017–e13017. 110 indexed citations
16.
Pesta, Dominik, Pavel Bobrov, Oana‐Patricia Zaharia, et al.. (2018). Relationship of Physical Activity Behavior with Insulin Sensitivity over Five Years after Diagnosis of Type 2 Diabetes. Diabetes. 67(Supplement_1). 1 indexed citations
17.
Bönhof, Gidon J., Alexander Strom, Sonja Püttgen, et al.. (2017). Patterns of cutaneous nerve fibre loss and regeneration in type 2 diabetes with painful and painless polyneuropathy. Diabetologia. 60(12). 2495–2503. 55 indexed citations
18.
Ziegler, Dan, Alexander Strom, Gidon J. Bönhof, et al.. (2017). Differential associations of lower cardiac vagal tone with insulin resistance and insulin secretion in recently diagnosed type 1 and type 2 diabetes. Metabolism. 79. 1–9. 19 indexed citations
19.
Zaharia, Oana‐Patricia, Pavel Bobrov, Klaus Straßburger, et al.. (2017). Metabolic Characteristics of Recently Diagnosed Adult-Onset Autoimmune Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 103(2). 429–437. 23 indexed citations
20.
Lundbom, Jesper, Alessandra Bierwagen, Kálmán Bódis, et al.. (2016). Deep subcutaneous adipose tissue lipid unsaturation associates with intramyocellular lipid content. Metabolism. 65(9). 1230–1237. 7 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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