Michael Gekle

235 papers receiving 7.9k citations

Michael Gekle's Hit Papers

The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19 2022 · 266 citations
2660+1+2Years since publication50100150200250

Peers

Michael Gekle
Comparison fields: 5 of 153
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Nephrology 642
  • Cancer Research 1.1k
  • Molecular Biology 3.3k
  • Biochemistry 289
Replace Yin Lu with:
Yin Lu China
Hans‐Georg Joost Germany
Alexander N. Orekhov Russia
Tonghui Ma China
Yasushi Tanaka Japan
H. Vetter Germany
Robert C. Stanton United States
Wei Wei China
Cheng Huang China
Yan Chen China
Michael Gekle relative to Yin Lu China Yin Lu's profile →
Citations per field
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Yin Lu · 1×
Citations per year

Countries citing papers authored by Michael Gekle

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gekle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Gekle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Gekle Line = papers co-authored together Michael Gekle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19
Hit paper breakdown →
2022266
2 2004205
3 2000177
4 1994165
5 2005145
6 2004138
7 1996130
8 2011126
9 2006124
10 2002122
11 2000103
12 2009100
13 199997
14 201096
15
Megalin is essential for renal proximal tubule reabsorption of (111)In-DTPA-octreotide.
200593
16 200391
17 201490
18 200889
19 200387
20 200986

About Michael Gekle

Michael Gekle is a scholar working on Molecular Biology, Cancer Research, Plant Science, Endocrinology, Diabetes and Metabolism and Surgery, having authored 240 papers that have together received 8.1k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (47 papers), Hormonal Regulation and Hypertension (42 papers), Ion Transport and Channel Regulation (36 papers), Carcinogens and Genotoxicity Assessment (30 papers), Drug Transport and Resistance Mechanisms (20 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (18 papers), Estrogen and related hormone effects (16 papers) and Cancer, Hypoxia, and Metabolism (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Nephrology (642 citations), Cancer Research (1.1k citations), Molecular Biology (3.3k citations) and Biochemistry (289 citations). Michael Gekle has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Sigrid Mildenberger, Ruth Freudinger, Stefan Silbernagl, Gerald Schwerdt, Claudia Großmann, Christoph Sauvant, Hans Oberleithner, Hildegard Holzinger, Oliver Thews and Birgit Gaßner. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, American Journal of Physiology-Renal Physiology, Cellular Physiology and Biochemistry, Journal of Pharmacology and Experimental Therapeutics and Advances in experimental medicine and biology.

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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