Thomas Weide
Impact in
- Nephrology top 1%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Cell Biology top 1%
- Cellular transport and secretion
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
Papers in ⓘ
- Nephrology 23
- Renal Diseases and Glomerulopathies 22
- Chronic Kidney Disease and Diabetes 8
- Cell Biology 24
- Hippo pathway signaling and YAP/TAZ 14
- Cellular transport and secretion 10
- Co-authors
- Angelika Barnekow (6 shared papers)Hermann Pavenstädt (16 shared papers)Hermann Pavenstädt (20 shared papers)Michael Bayer (4 shared papers)Beate Vollenbröker (10 shared papers)Joachim Kremerskothen (10 shared papers)Tobias B. Huber (3 shared papers)Ulf Schulze (10 shared papers)
- Journals
- Journal of the American Society of Nephrology (6 papers)The FASEB Journal (4 papers)American Journal of Physiology-Renal Physiology (4 papers)BMC Biotechnology (3 papers)Kidney International (3 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Thomas Weide
55 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 98
- Nephrology 511
- Cell Biology 1.0k
- Physiology 160
- Molecular Biology 1.1k
- Genetics 116
Countries citing papers authored by Thomas Weide
This map shows the geographic impact of Thomas Weide'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 Weide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Weide more than expected).
Fields of papers citing papers by Thomas Weide
This network shows the impact of papers produced by Thomas Weide. 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 Weide. The network helps show where Thomas Weide may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Weide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 314 | |
| 2 | 2012 | 172 | |
| 3 | 2008 | 129 | |
| 4 | 2008 | 116 | |
| 5 | 2001 | 109 | |
| 6 | 2008 | 100 | |
| 7 | 2008 | 95 | |
| 8 | 2014 | 82 | |
| 9 | 2017 | 78 | |
| 10 | 2005 | 60 | |
| 11 | 2014 | 55 | |
| 12 | 2003 | 54 | |
| 13 | 2013 | 53 | |
| 14 | 2014 | 51 | |
| 15 | 2014 | 46 | |
| 16 | 2011 | 41 | |
| 17 | 2017 | 36 | |
| 18 | 2011 | 36 | |
| 19 | 2018 | 35 | |
| 20 | 2017 | 32 |
About Thomas Weide
Thomas Weide is a scholar working on Nephrology, Cell Biology, Physiology, Genetics and Molecular Biology, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (22 papers), Hippo pathway signaling and YAP/TAZ (14 papers), Renal and related cancers (11 papers), Cellular transport and secretion (10 papers), Genetic and Kidney Cyst Diseases (9 papers), Chronic Kidney Disease and Diabetes (8 papers), Calcium signaling and nucleotide metabolism (6 papers) and Ion Transport and Channel Regulation (4 papers). The work is most often cited by research in Nephrology (511 citations), Cell Biology (1.0k citations), Physiology (160 citations), Molecular Biology (1.1k citations) and Genetics (116 citations). Thomas Weide has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Angelika Barnekow, Hermann Pavenstädt, Hermann Pavenstädt, Michael Bayer, Beate Vollenbröker, Joachim Kremerskothen, Tobias B. Huber, Ulf Schulze, Casper C. Hoogenraad and Phebe S. Wulf. Their work appears in journals such as Journal of the American Society of Nephrology, The FASEB Journal, American Journal of Physiology-Renal Physiology, BMC Biotechnology and Kidney International.
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.