Monika Kellerer

6.4k total citations · 1 hit paper
126 papers, 3.5k citations indexed

About

Monika Kellerer is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Monika Kellerer has authored 126 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 63 papers in Endocrinology, Diabetes and Metabolism and 24 papers in Surgery. Recurrent topics in Monika Kellerer's work include Metabolism, Diabetes, and Cancer (48 papers), Diabetes Treatment and Management (42 papers) and Diabetes Management and Research (33 papers). Monika Kellerer is often cited by papers focused on Metabolism, Diabetes, and Cancer (48 papers), Diabetes Treatment and Management (42 papers) and Diabetes Management and Research (33 papers). Monika Kellerer collaborates with scholars based in Germany, United States and Italy. Monika Kellerer's co-authors include Hans‐Ulrich Häring, Edison Capp, Lucia Berti, Harald Staiger, S. Matthäei, Michael Stümvoll, Joanne Mushack, Hans-Ulrich Häring, Luitgard Mosthaf and E. Seffer and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Endocrine Reviews.

In The Last Decade

Monika Kellerer

111 papers receiving 3.4k citations

Hit Papers

Switching to once-weekly insulin icodec versus once-daily... 2023 2026 2024 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monika Kellerer Germany 32 1.6k 1.2k 922 838 747 126 3.5k
Yukiko Onishi Japan 33 1.6k 1.0× 1.6k 1.3× 890 1.0× 692 0.8× 745 1.0× 76 3.7k
Lucia Frittitta Italy 33 1.7k 1.1× 1.2k 1.0× 925 1.0× 836 1.0× 733 1.0× 115 3.9k
Katherine Cianflone Canada 36 879 0.6× 1.2k 1.0× 1.5k 1.6× 1.1k 1.4× 1.2k 1.7× 86 4.1k
Aldo Grefhorst Netherlands 32 1.4k 0.9× 673 0.6× 1000 1.1× 1.6k 1.9× 1.1k 1.5× 77 3.9k
Christian Rask‐Madsen United States 31 1.4k 0.9× 1.1k 0.9× 1.3k 1.4× 733 0.9× 918 1.2× 55 4.5k
Katherine Cianflone Canada 31 920 0.6× 631 0.5× 1.3k 1.4× 739 0.9× 1.0k 1.4× 87 3.6k
Hans Häring Germany 43 2.4k 1.5× 1.3k 1.1× 2.1k 2.3× 866 1.0× 1.7k 2.2× 83 5.6k
Murielle M. Véniant United States 44 3.7k 2.3× 1.5k 1.2× 1.2k 1.3× 1.4k 1.7× 961 1.3× 95 6.5k
Moritake Higa Japan 19 1.1k 0.7× 606 0.5× 1.2k 1.3× 704 0.8× 735 1.0× 37 3.0k
Janet D. Sparks United States 36 1.8k 1.1× 1.3k 1.0× 660 0.7× 862 1.0× 1.0k 1.4× 79 3.8k

Countries citing papers authored by Monika Kellerer

Since Specialization
Citations

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

Fields of papers citing papers by Monika Kellerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Kellerer

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Kellerer. A scholar is included among the top collaborators of Monika Kellerer 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 Monika Kellerer. Monika Kellerer 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
1.
Müssig, Karsten, Baptist Gallwitz, Thomas Haak, Monika Kellerer, & Erhard Siegel. (2025). Diabetes im Krankenhaus. 21(2). 206–218.
3.
Müssig, Karsten, Baptist Gallwitz, Thomas Haak, Monika Kellerer, & Erhard Siegel. (2024). Diabetes im Krankenhaus. Diabetologie und Stoffwechsel.
4.
Müssig, Karsten, Baptist Gallwitz, Thomas Haak, Monika Kellerer, & Erhard Siegel. (2024). Diabetes im Krankenhaus. Diabetologie und Stoffwechsel. 19(S 02). S437–S450. 1 indexed citations
5.
Kellerer, Monika & Christoph Wanner. (2023). Nierenerkrankungen bei Diabetes mellitus Typ 2. Die Innere Medizin. 64(12). 1211–1217.
6.
Kulzer, Bernhard, Jens Aberle, Thomas Haak, et al.. (2022). Grundlagen des Diabetesmanagements. Diabetologie und Stoffwechsel. 17(S 02). S87–S97.
7.
Landgraf, Rüdiger, Jens Aberle, Andreas L. Birkenfeld, et al.. (2021). Therapie des Typ-2-Diabetes. Diabetologie und Stoffwechsel. 16(S 02). S168–S206. 1 indexed citations
8.
Marx, Nikolaus, Lars Rydén, Frank C. Brosius, et al.. (2020). Proceedings of the Guideline Workshop 2019: Strategies for the Optimization of Guideline Processes in Diabetes, Cardiovascular Diseases, and Kidney Diseases. Diabetes Technology & Therapeutics. 22(7). 546–552. 2 indexed citations
9.
Kellerer, Monika. (2014). Diagnose und Behandlung des Typ-2-Diabetes aus Sicht der Leitlinien. DMW - Deutsche Medizinische Wochenschrift. 139(21). 1114–1115.
10.
Landgraf, R., Monika Kellerer, Baptist Gallwitz, et al.. (2013). Praxisempfehlungen DDG/DGIM : Therapie des Typ-2-Diabetes. Diabetologie und Stoffwechsel. 8. 6 indexed citations
11.
Matthäei, S., Andreas Fritsche, Baptist Gallwitz, et al.. (2009). Behandlung des Diabetes mellitus Typ 2. Diabetologie und Stoffwechsel. 4(S 02). S138–S143. 8 indexed citations
12.
Staiger, K., Anita M. Hennige, Harald Staiger, H.-U. Häring, & Monika Kellerer. (2007). Comparison of the Mitogenic Potency of Regular Human Insulin and its Analogue Glargine in Normal and Transformed Human Breast Epithelial Cells. Hormone and Metabolic Research. 39(1). 65–67. 42 indexed citations
13.
Hennige, Anita M., et al.. (2005). Effects of new insulin analogues HMR1964 (insulin glulisine) and HMR1423 on insulin receptors. Diabetologia. 48(9). 1891–1897. 22 indexed citations
14.
Müssig, Karsten, Harald Staiger, Klaus Moeschel, et al.. (2005). Shp2 Is Required for Protein Kinase C-dependent Phosphorylation of Serine 307 in Insulin Receptor Substrate-1. Journal of Biological Chemistry. 280(38). 32693–32699. 25 indexed citations
15.
Staiger, K., Harald Staiger, Matthias Axel Schweitzer, et al.. (2005). Insulin and its analogue glargine do not affect viability and proliferation of human coronary artery endothelial and smooth muscle cells. Diabetologia. 48(9). 1898–1905. 34 indexed citations
16.
Hennige, Anita M., Andreas Fritsche, Cora Weigert, et al.. (2002). PKC ζ Enhances Insulin-like Growth Factor 1-Dependent Mitogenic Activity in the Rat Clonal β Cell Line RIN 1046-38. Biochemical and Biophysical Research Communications. 290(1). 85–90. 16 indexed citations
17.
Hennige, Anita M., Jan Krützfeldt, Birgit Bossenmaier, et al.. (2000). Serine residues 994 and 1023/25 are important for insulin receptor kinase inhibition by protein kinase C isoforms β2 and θ. Diabetologia. 43(4). 443–449. 47 indexed citations
19.
Strowitzki, T., Helena von Eye Corleta, Monika Kellerer, & Hans Häring. (1993). Tyrosine kinase activity of insulin-like growth factor I and insulin receptors in human endometrium during the menstrual cycle: cyclic variation of insulin receptor expression. Fertility and Sterility. 59(2). 315–322. 31 indexed citations
20.
Kellerer, Monika, B Ermel, Stefanie Tippmer, et al.. (1992). Distinct .alpha.-subunit structures of human insulin receptor A and B variants determine differences in tyrosine kinase activities. Biochemistry. 31(19). 4588–4596. 68 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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