Jan T. Kielstein

17.1k total citations · 2 hit papers
278 papers, 10.2k citations indexed

About

Jan T. Kielstein is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Jan T. Kielstein has authored 278 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Nephrology, 57 papers in Cardiology and Cardiovascular Medicine and 46 papers in Physiology. Recurrent topics in Jan T. Kielstein's work include Acute Kidney Injury Research (41 papers), Nitric Oxide and Endothelin Effects (38 papers) and Dialysis and Renal Disease Management (38 papers). Jan T. Kielstein is often cited by papers focused on Acute Kidney Injury Research (41 papers), Nitric Oxide and Endothelin Effects (38 papers) and Dialysis and Renal Disease Management (38 papers). Jan T. Kielstein collaborates with scholars based in Germany, United States and Austria. Jan T. Kielstein's co-authors include Danilo Fliser, Stefanie M. Bode‐Böger, Hermann Haller, Hermann Haller, Carsten Hafer, Jens Martens‐Lobenhoffer, Eberhard Ritz, Jürgen C. Frölich, Philipp Kümpers and Sascha David and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Jan T. Kielstein

260 papers receiving 9.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Serum uric acid and the risk of cardiovascular and renal disease

2015 335 citations Jan T. Kielstein et al. profile →
Hyperuricaemia and gout in cardiovascular, metabolic and kidney disease

2020 249 citations Jan T. Kielstein et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan T. Kielstein Germany	55	3.6k	2.6k	2.0k	1.5k	1.4k	278	10.2k
Kwan‐Dun Wu Taiwan	57	4.3k 1.2×	1.7k 0.7×	701 0.4×	1.9k 1.3×	2.9k 2.0×	371	11.2k
Barry I. Freedman United States	65	6.2k 1.7×	2.6k 1.0×	1.4k 0.7×	3.3k 2.2×	1.8k 1.2×	420	16.3k
Yoshinari Yasuda Japan	40	4.1k 1.1×	2.3k 0.9×	1.3k 0.7×	1.8k 1.2×	1.6k 1.1×	152	10.6k
Mehmet Kanbay Türkiye	58	5.7k 1.6×	2.0k 0.8×	1.4k 0.7×	2.0k 1.4×	2.9k 2.0×	433	12.6k
Akira Hishida Japan	48	4.7k 1.3×	2.7k 1.0×	1.1k 0.6×	2.2k 1.5×	2.9k 2.0×	298	13.6k
Shin‐Wook Kang South Korea	55	6.1k 1.7×	1.4k 0.5×	963 0.5×	2.2k 1.5×	1.7k 1.2×	530	12.4k
Gary E. Striker United States	58	3.0k 0.8×	1.4k 0.5×	1.8k 0.9×	2.2k 1.5×	1.3k 0.9×	150	13.5k
Beverley Adams‐Huet United States	53	1.6k 0.4×	1.9k 0.7×	1.7k 0.8×	1.4k 0.9×	1.9k 1.3×	233	10.3k
Ian H. de Boer United States	70	7.6k 2.1×	3.7k 1.4×	2.4k 1.2×	2.4k 1.7×	3.0k 2.1×	325	19.8k
An S. De Vriese Belgium	50	3.5k 1.0×	1.3k 0.5×	1.1k 0.5×	2.0k 1.4×	1.4k 0.9×	173	8.9k

Countries citing papers authored by Jan T. Kielstein

Since Specialization

Citations

This map shows the geographic impact of Jan T. Kielstein'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 Jan T. Kielstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan T. Kielstein more than expected).

Fields of papers citing papers by Jan T. Kielstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan T. Kielstein. 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 Jan T. Kielstein. The network helps show where Jan T. Kielstein may publish in the future.

Co-authorship network of co-authors of Jan T. Kielstein

This figure shows the co-authorship network connecting the top 25 collaborators of Jan T. Kielstein. A scholar is included among the top collaborators of Jan T. Kielstein 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 Jan T. Kielstein. Jan T. Kielstein 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

David, Sascha, Massimo Girardis, Peter Pickkers, et al.. (2025). Knowledge gaps in extracorporeal blood purification: what would be required for its successful application in septic shock?. Intensive Care Medicine Experimental. 13(1). 118–118.

Meyer, Torsten M., et al.. (2024). Using the Seraph® 100 Microbind® Affinity blood filter under slow flow conditions through 18 G and 16 G central lines. The Journal of Vascular Access. 26(2). 596–600. 1 indexed citations

Forni, Lui G., Filippo Aucella, Gabriella Bottari, et al.. (2024). Hemoadsorption therapy for myoglobin removal in rhabdomyolysis: consensus of the hemoadsorption in rhabdomyolysis task force. BMC Nephrology. 25(1). 247–247. 10 indexed citations

Fuehner, Thomas, Tobias Welte, Jan Menne, et al.. (2024). Effect of a biomimetic pathogen adsorbing device on inflammatory biomarkers in COVID‐19 patients. Therapeutic Apheresis and Dialysis. 28(5). 802–809.

Meyer, Torsten M., Gabriele Eden, Bernhard M. W. Schmidt, et al.. (2023). #5924 LATE DIAGNOSIS OF IGA NEPHROPATHY IN LOWER SAXONY (GERMANY) – CLINICAL AND HISTOPATHOLOGICAL DATA FROM 246 PATIENTS AT TIME OF INITIAL RENAL BIOPSY. Nephrology Dialysis Transplantation. 38(Supplement_1). 1 indexed citations

Schmitz, Jessica, Irina Scheffner, Kevin L. Schulte, et al.. (2022). High Macrophage Densities in Native Kidney Biopsies Correlate With Renal Dysfunction and Promote ESRD. Kidney International Reports. 8(2). 341–356. 12 indexed citations

Schmidt, Julius J., Vedran Premužić, Stefan Büttner, et al.. (2021). Interim analysis of the COSA (COVID-19 patients treated with the Seraph® 100 Microbind® Affinity filter) registry. Nephrology Dialysis Transplantation. 37(4). 673–680. 20 indexed citations

Kielstein, Jan T., et al.. (2019). Boliden auf der Intensivstation: Wie viel Antibiotika verbraucht Ihre Nierenersatztherapie pro Tag?. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 114(2). 139–145. 1 indexed citations

Rovas, Alexandros, Konrad Buscher, Kristina Kusche‐Vihrog, et al.. (2019). Symmetric dimethylarginine in dysfunctional high-density lipoprotein mediates endothelial glycocalyx breakdown in chronic kidney disease. Kidney International. 97(3). 502–515. 18 indexed citations

10.

Schwenger, Vedat, Detlef Kindgen‐Milles, Carsten Willam, et al.. (2018). Extrakorporale Nierenersatztherapie bei akuter Nierenschädigung: Empfehlungen der Sektionen „Niere“ der DGIIN, ÖGIAIN und DIVI. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 113(5). 370–376.

11.

Schmitz, Michael, Michael Joannidis, David Czock, et al.. (2018). Regionale Zitratantikoagulation bei Nierenersatzverfahren auf der Intensivstation: Empfehlungen der Sektionen Niere der DGIIN, ÖGIAIN und DIVI. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 113(5). 377–383.

12.

Kielstein, Jan T., David Czock, Jiao Xie, et al.. (2018). Population pharmacokinetics of vancomycin in critically ill patients receiving prolonged intermittent renal replacement therapy. International Journal of Antimicrobial Agents. 52(2). 151–157. 24 indexed citations

13.

Hadem, Johannes, Jan T. Kielstein, Michael P. Manns, Philipp Kümpers, & Alexander Lukasz. (2018). Outcomes of renal dysfunction in patients with acute liver failure. United European Gastroenterology Journal. 7(3). 388–396. 18 indexed citations

14.

Sellin, Lorenz, et al.. (2015). [Hyperuricemia - more than gout : Impact on cardiovascular risk and renal insufficiency]. Zeitschrift für Rheumatologie. 74(4). 322–328. 4 indexed citations

15.

Kleimann, Alexandra, Sermin Toto, Jan T. Kielstein, et al.. (2014). Psychiatric Symptoms in Patients with Shiga Toxin-Producing E. coli O104:H4 Induced Haemolytic-Uraemic Syndrome. PLoS ONE. 9(7). e101839–e101839. 11 indexed citations

16.

Tutarel, Oktay, Stefanie M. Bode‐Böger, Jens Martens‐Lobenhoffer, et al.. (2012). Asymmetrical Dimethylarginine - More Sensitive than NT-proBNP to Diagnose Heart Failure in Adults with Congenital Heart Disease. PLoS ONE. 7(3). e33795–e33795. 25 indexed citations

17.

David, Sascha, P. Kumpers, G. M. Eisenbach, Hermann Haller, & Jan T. Kielstein. (2009). Prospective evaluation of an in-centre conversion from conventional haemodialysis to an intensified nocturnal strategy. Nephrology Dialysis Transplantation. 24(7). 2232–2240. 44 indexed citations

18.

Kielstein, Jan T., Jens Martens‐Lobenhoffer, Stefan Vollmer, & Stefanie M. Bode‐Böger. (2008). L-Arginine, ADMA, SDMA, creatinine, MDRD formula: detour to renal function testing. Journal of Nephrology. 21(6). 959–961. 18 indexed citations

19.

Kielstein, Jan T. & Philip S. Tsao. (2007). From Zanius to ADMA: ADMA – a new “adipocytokine” and its potential role in metabolic syndrome. Journal of Nephrology. 20(5). 515–517. 4 indexed citations

20.

Kielstein, Jan T., et al.. (2003). Increased resistin blood levels are not associated with insulin resistance in patients with renal disease. American Journal of Kidney Diseases. 42(1). 62–66. 109 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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