Thomas Weimbs

6.0k citations
79 papers · 4.5k indexed · 1 hit paper · h-index 32

Thomas Weimbs

77 papers receiving 4.4k citations

Hit Papers

The mTOR pathway is regulated by polycystin-1, and its in...6122006202620122019200400600

Peers

Thomas Weimbs
Comparison fields: 5 of 100
  • Cell Biology 1.6k
  • Genetics 2.1k
  • Nephrology 370
  • Molecular Biology 3.0k
  • Pathology and Forensic Medicine 715
Replace Seng Hui Low with:
Seng Hui Low United States
Kei-ichi Nakayama Japan
George Hausmann Switzerland
Yasuaki Shirayoshi Japan
Lan Xu United States
David Reczek United States
Peter Charbel Issa Germany
Emmanuel Petroulakis Canada
Thomas Weide Germany
Chris Marshall United Kingdom
Thomas Weimbs relative to Seng Hui Low United States Seng Hui Low's profile →
Citations per field
00.5×10×17×
Seng Hui Low · 1×
Citations per year

Countries citing papers authored by Thomas Weimbs

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Weimbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Thomas Weimbs, 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 Thomas Weimbs Line = papers co-authored together Thomas Weimbs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202317
4 20223
5 20221
6 20221
7 201959
8 2019158
9 20172
10 201453
11 201353
12 201126
13 201074
14 200741
15
The mTOR pathway is regulated by polycystin-1, and its inhibition reverses renal cystogenesis in polycystic kidney diseasebreakdown →
2006612
16 200511
17 2004175
18 200154
19 199887
20 199017

About Thomas Weimbs

Thomas Weimbs is a scholar working on Cell Biology, Genetics, Nephrology, Pathology and Forensic Medicine and Physiology, having authored 79 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (42 papers), Cellular transport and secretion (24 papers), Biomedical Research and Pathophysiology (18 papers), Renal and related cancers (12 papers), Diet and metabolism studies (11 papers), Renal Diseases and Glomerulopathies (11 papers), Pancreatic function and diabetes (11 papers) and Lipid Membrane Structure and Behavior (10 papers). The work is most often cited by research in Cell Biology (1.6k citations), Genetics (2.1k citations), Nephrology (370 citations), Molecular Biology (3.0k citations) and Pathology and Forensic Medicine (715 citations). Thomas Weimbs has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Seng Hui Low, Keith E. Mostov, Jonathan M. Shillingford, Steven J. Chapin, Wilhelm Stoffel, Klaus Piontek, Gregory G. Germino, Masumi Miura, Nikunj Sharma and László G. Kömüves. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, Proceedings of the National Academy of Sciences, Molecular Biology of the Cell and Journal of Biological Chemistry.

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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