Anna Köttgen

44.5k total citations · 5 hit papers
158 papers, 7.4k citations indexed

About

Anna Köttgen is a scholar working on Nephrology, Genetics and Molecular Biology. According to data from OpenAlex, Anna Köttgen has authored 158 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Nephrology, 49 papers in Genetics and 47 papers in Molecular Biology. Recurrent topics in Anna Köttgen's work include Chronic Kidney Disease and Diabetes (43 papers), Genetic Associations and Epidemiology (37 papers) and Renal Diseases and Glomerulopathies (23 papers). Anna Köttgen is often cited by papers focused on Chronic Kidney Disease and Diabetes (43 papers), Genetic Associations and Epidemiology (37 papers) and Renal Diseases and Glomerulopathies (23 papers). Anna Köttgen collaborates with scholars based in Germany, United States and Austria. Anna Köttgen's co-authors include Josef Coresh, Peggy Sekula, Cristian Pattaro, Fabiola Del Greco M, Eric Boerwinkle, Kai‐Uwe Eckardt, Andrew S. Levey, Olivier Devuyst, Richard J. Johnson and Adeera Levin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Circulation.

In The Last Decade

Anna Köttgen

153 papers receiving 7.3k citations

Hit Papers

5 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.

Mendelian Randomization as an Approach to Assess Causality Using Observational Data

2016 1.3k citations Peggy Sekula, Cristian Pattaro et al. Journal of the American Society of Nephrology profile →
Evolving importance of kidney disease: from subspecialty to global health burden

2013 796 citations Kai‐Uwe Eckardt, Josef Coresh et al. profile →
Association of three genetic loci with uric acid concentration and risk of gout: a genome-wide association study

2008 542 citations Anna Köttgen, Qiong Yang et al. profile →
Identification of a urate transporter, ABCG2, with a common functional polymorphism causing gout

2009 497 citations Owen M. Woodward, Anna Köttgen et al. Proceedings of the National Academy of Sciences profile →
Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies

2022 152 citations Anna Köttgen, Adrienne Tin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Köttgen Germany	39	2.9k	1.9k	1.3k	984	911	158	7.4k
Juan F. Navarro‐González Spain	45	3.8k 1.3×	1.7k 0.9×	833 0.6×	978 1.0×	1.0k 1.1×	212	8.1k
Ichiei Narita Japan	46	3.3k 1.1×	1.8k 1.0×	530 0.4×	1.0k 1.0×	1.3k 1.4×	560	9.2k
Curie Ahn South Korea	40	2.3k 0.8×	1.6k 0.8×	1.1k 0.9×	731 0.7×	2.0k 2.2×	418	7.8k
Seung Hyeok Han South Korea	45	4.6k 1.6×	1.8k 1.0×	488 0.4×	1.1k 1.1×	1.3k 1.4×	362	9.1k
Abbas Dehghan Netherlands	55	1.4k 0.5×	2.4k 1.3×	1.8k 1.3×	1.5k 1.6×	1.0k 1.1×	201	9.3k
David C.H. Harris Australia	54	4.6k 1.6×	2.3k 1.2×	538 0.4×	679 0.7×	1.2k 1.3×	261	10.4k
Dominic S. Raj United States	52	4.2k 1.4×	2.2k 1.2×	637 0.5×	736 0.7×	1.4k 1.6×	165	9.0k
Gabriel Choukroun France	48	3.5k 1.2×	2.1k 1.1×	479 0.4×	503 0.5×	978 1.1×	228	8.4k
Frederick J. Kaskel United States	36	4.2k 1.4×	1.3k 0.7×	454 0.3×	645 0.7×	966 1.1×	138	8.2k
Günter Wolf Germany	52	3.7k 1.2×	3.5k 1.9×	768 0.6×	1.0k 1.1×	1.4k 1.5×	359	12.3k

Countries citing papers authored by Anna Köttgen

Since Specialization

Citations

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

Fields of papers citing papers by Anna Köttgen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Köttgen

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Köttgen. A scholar is included among the top collaborators of Anna Köttgen 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 Anna Köttgen. Anna Köttgen 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

Li, Yong, Oleg Borisov, Atlas Khan, et al.. (2025). Genetic screens of imaging-derived kidney volumes identify genes linked to kidney function. Kidney International. 109(2). 365–378.

Surapaneni, Aditya, Denise Hasson, Insa M. Schmidt, et al.. (2024). Serum and Urine Metabolites and Kidney Function. Journal of the American Society of Nephrology. 35(9). 1252–1265. 3 indexed citations

Fujii, Ryosuke, Roberto Melotti, Anna Köttgen, et al.. (2024). Integrating multiple kidney function markers to predict all-cause and cardiovascular disease mortality: prospective analysis of 366 758 UK Biobank participants. Clinical Kidney Journal. 17(8). sfae207–sfae207. 3 indexed citations

Li, Veronica L., Shuke Xiao, Pascal Schlosser, et al.. (2024). SLC17A1/3 transporters mediate renal excretion of Lac-Phe in mice and humans. Nature Communications. 15(1). 6895–6895. 5 indexed citations

Schönherr, Sebastian, Claudia Lamina, Lukas Forer, et al.. (2023). KLKB1 and CLSTN2 are associated with HDL-mediated cholesterol efflux capacity in a genome-wide association study. Atherosclerosis. 368. 1–11. 3 indexed citations

Pfau, Anja, Karen I. López‐Cayuqueo, Matthias Wuttke, et al.. (2023). SLC26A1 is a major determinant of sulfate homeostasis in humans. Journal of Clinical Investigation. 133(3). 6 indexed citations

Hoppmann, Anselm, Pascal Schlosser, R. Diehl, et al.. (2021). Ttc30a affects tubulin modifications in a model for ciliary chondrodysplasia with polycystic kidney disease. Proceedings of the National Academy of Sciences. 118(39). 8 indexed citations

Cheng, Yurong, Pascal Schlosser, Johannes Hertel, et al.. (2021). Author Correction: Rare genetic variants affecting urine metabolite levels link population variation to inborn errors of metabolism. Nature Communications. 12(1). 5938–5938. 3 indexed citations

Cheng, Yurong, Pascal Schlosser, Johannes Hertel, et al.. (2021). Rare genetic variants affecting urine metabolite levels link population variation to inborn errors of metabolism. Nature Communications. 12(1). 964–964. 16 indexed citations

10.

Kotsis, Fruzsina, Ulla T. Schultheiß, Matthias Wuttke, et al.. (2021). Self-Reported Medication Use and Urinary Drug Metabolites in the German Chronic Kidney Disease (GCKD) Study. Journal of the American Society of Nephrology. 32(9). 2315–2329. 8 indexed citations

11.

Li, Yong, Stefan Haug, Pascal Schlosser, et al.. (2020). Integration of GWAS Summary Statistics and Gene Expression Reveals Target Cell Types Underlying Kidney Function Traits. Journal of the American Society of Nephrology. 31(10). 2326–2340. 15 indexed citations

12.

Wang, Anqi, John R. Barber, Adrienne Tin, et al.. (2019). Serum Urate, Genetic Variation, and Prostate Cancer Risk: Atherosclerosis Risk in Communities (ARIC) Study. Cancer Epidemiology Biomarkers & Prevention. 28(7). 1259–1261. 8 indexed citations

13.

Ziegler, Christiane, Franziska Grundner-Culemann, Miriam A. Schiele, et al.. (2019). The DNA methylome in panic disorder: a case-control and longitudinal psychotherapy-epigenetic study. Translational Psychiatry. 9(1). 314–314. 30 indexed citations

14.

Li, Yong, Peggy Sekula, Matthias Wuttke, et al.. (2018). Genome-Wide Association Studies of Metabolites in Patients with CKD Identify Multiple Loci and Illuminate Tubular Transport Mechanisms. Journal of the American Society of Nephrology. 29(5). 1513–1524. 30 indexed citations

15.

Rebholz, Casey M., Bing Yu, Zihe Zheng, et al.. (2018). Serum metabolomic profile of incident diabetes. Diabetologia. 61(5). 1046–1054. 80 indexed citations

16.

Bello, Aminu K., Mona Alrukhaimi, Gloria Ashuntantang, et al.. (2017). Complications of chronic kidney disease: current state, knowledge gaps, and strategy for action. Kidney International Supplements. 7(2). 122–129. 152 indexed citations

17.

Li, Man, Nisa M. Maruthur, Stephanie Loomis, et al.. (2017). Genome-wide association study of 1,5-anhydroglucitol identifies novel genetic loci linked to glucose metabolism. Scientific Reports. 7(1). 2812–2812. 28 indexed citations

18.

Köttgen, Anna, et al.. (2012). Association of apolipoprotein A1 and B with kidney function and chronic kidney disease in two multiethnic population samples. Nephrology Dialysis Transplantation. 27(7). 2839–2847. 45 indexed citations

19.

O’Seaghdha, Conall M., Rulan S. Parekh, Shih‐Jen Hwang, et al.. (2011). The MYH9/APOL1 region and chronic kidney disease in European-Americans. Human Molecular Genetics. 20(12). 2450–2456. 72 indexed citations

20.

Woodward, Owen M., Anna Köttgen, Josef Coresh, et al.. (2009). Identification of a urate transporter, ABCG2, with a common functional polymorphism causing gout. Proceedings of the National Academy of Sciences. 106(25). 10338–10342. 497 indexed citations breakdown →

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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