Christian Herder

51.5k total citations · 3 hit papers
361 papers, 17.2k citations indexed

About

Christian Herder is a scholar working on Epidemiology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Christian Herder has authored 361 papers receiving a total of 17.2k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Epidemiology, 104 papers in Physiology and 103 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Christian Herder's work include Adipokines, Inflammation, and Metabolic Diseases (86 papers), Diabetes and associated disorders (43 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (34 papers). Christian Herder is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (86 papers), Diabetes and associated disorders (43 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (34 papers). Christian Herder collaborates with scholars based in Germany, United States and Netherlands. Christian Herder's co-authors include Wolfgang Rathmann, Michael Roden, Wolfgang Köenig, Ádám G. Tabák, Eric J. Brunner, Mika Kivimäki, Barbara Thorand, Christa Meisinger, Hans Hauner and Hubert Kolb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Circulation.

In The Last Decade

Christian Herder

342 papers receiving 16.8k citations

Hit Papers

Prediabetes: a high-risk state for diabetes development 2006 2026 2012 2019 2012 2006 2015 500 1000 1.5k 2.0k

Peers

Christian Herder
Christian Herder
Citations per year, relative to Christian Herder Christian Herder (= 1×) peers Christa Meisinger

Countries citing papers authored by Christian Herder

Since Specialization
Citations

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

Fields of papers citing papers by Christian Herder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Herder

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Herder. A scholar is included among the top collaborators of Christian Herder 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 Christian Herder. Christian Herder 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.
Maalmi, Haïfa, Gidon J. Bönhof, Wolfgang Rathmann, et al.. (2024). Prediction Model for Polyneuropathy in Recent‐Onset Diabetes Based on Serum Neurofilament Light Chain, Fibroblast Growth Factor‐19 and Standard Anthropometric and Clinical Variables. Diabetes/Metabolism Research and Reviews. 40(8). e70009–e70009.
3.
Shi, Mengya, Karsten Suhre, Cornelia Prehn, et al.. (2024). Omentin associates with serum metabolite profiles indicating lower diabetes risk: KORA F4 Study. BMJ Open Diabetes Research & Care. 12(2). e003865–e003865.
4.
Luo, Hong, Jana Nano, Agnese Petrera, et al.. (2023). Associations of plasma proteomics with type 2 diabetes and related traits: results from the longitudinal KORA S4/F4/FF4 Study. Diabetologia. 66(9). 1655–1668. 17 indexed citations
5.
Ziegler, Dan, Christian Herder, & Νικόλαος Παπάνας. (2023). Neuropathy in prediabetes. Diabetes/Metabolism Research and Reviews. 39(8). e3693–e3693. 15 indexed citations
6.
Roden, Michael, et al.. (2023). Diabetes and climate change: current evidence and implications for people with diabetes, clinicians and policy stakeholders. Diabetologia. 66(6). 1003–1015. 29 indexed citations
7.
Goletzke, Janina, Christian Herder, Michael Roden, et al.. (2021). Early life factors and their relevance for markers of cardiometabolic risk in early adulthood. Nutrition Metabolism and Cardiovascular Diseases. 31(7). 2109–2121. 1 indexed citations
8.
Schlesinger, Sabrina, Manuela Neuenschwander, Alexander Lang, et al.. (2021). Risk phenotypes of diabetes and association with COVID-19 severity and death: a living systematic review and meta-analysis. Diabetologia. 64(7). 1480–1491. 61 indexed citations
9.
Apostolopoulou, Maria, Lucia Mastrototaro, Sonja Hartwig, et al.. (2021). Metabolic responsiveness to training depends on insulin sensitivity and protein content of exosomes in insulin-resistant males. Science Advances. 7(41). eabi9551–eabi9551. 30 indexed citations
10.
Nano, Jana, Ben Schöttker, Jie-sheng Lin, et al.. (2021). Novel biomarkers of inflammation, kidney function and chronic kidney disease in the general population. Nephrology Dialysis Transplantation. 37(10). 1916–1926. 15 indexed citations
11.
Huth, Cornelia, Astrid Zierer, Christa Meisinger, et al.. (2020). Biomarker-defined pathways for incident type 2 diabetes and coronary heart disease—a comparison in the MONICA/KORA study. Cardiovascular Diabetology. 19(1). 32–32. 20 indexed citations
12.
Jiang, Linmiao, Seryan Atasoy, Hamimatunnisa Johar, et al.. (2020). Anxiety boosts progression of prediabetes to type 2 diabetes: findings from the prospective Cooperative Health Research in the Region of Augsburg F4 and FF4 studies. Diabetic Medicine. 37(10). 1737–1741. 16 indexed citations
13.
Sarabhai, Theresia, S. Kahl, Julia Szendroedi, et al.. (2020). Monounsaturated fat rapidly induces hepatic gluconeogenesis and whole-body insulin resistance. JCI Insight. 5(10). 23 indexed citations
14.
Kowall, Bernd, Wolfgang Rathmann, Oliver Kuß, et al.. (2020). Reversion from prediabetes to normoglycaemia after weight change in older persons: The KORA F4/FF4 study. Nutrition Metabolism and Cardiovascular Diseases. 31(2). 429–438. 11 indexed citations
15.
Maalmi, Haïfa, Christian Herder, Klaus Straßburger, et al.. (2020). Biomarkers of Inflammation and Glomerular Filtration Rate in Individuals with Recent-Onset Type 1 and Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 105(12). e4370–e4381. 13 indexed citations
16.
Apostolopoulou, Maria, Ruth Gordillo, Chrysi Koliaki, et al.. (2018). Specific Hepatic Sphingolipids Relate to Insulin Resistance, Oxidative Stress, and Inflammation in Nonalcoholic Steatohepatitis. Diabetes Care. 41(6). 1235–1243. 211 indexed citations
17.
Herder, Christian. (2018). IFNγ — link between infections and cardiometabolic risk?. Nature Reviews Endocrinology. 14(10). 567–568. 1 indexed citations
18.
Huth, Cornelia, Christine von Toerne, Tonia de las Heras Gala, et al.. (2018). Protein markers and risk of type 2 diabetes and prediabetes: a targeted proteomics approach in the KORA F4/FF4 study. European Journal of Epidemiology. 34(4). 409–422. 39 indexed citations
19.
Kaess, Bernhard M., Tonia de las Heras Gala, Astrid Zierer, et al.. (2017). Ultra-sensitive troponin I is an independent predictor of incident coronary heart disease in the general population. European Journal of Epidemiology. 32(7). 583–591. 10 indexed citations
20.
Tonn, Torsten, Christian Herder, Sven Becker, Erhard Seifried, & Manuel Grez. (2002). Generation and Characterization of Human Hematopoietic Cell Lines Expressing Factor VIII. Journal of Hematotherapy & Stem Cell Research. 11(4). 695–704. 20 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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