Peter Klatt
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 0.1%
- Eicosanoids and Hypertension Pharmacology
- Sulfur Compounds in Biology
Papers in
- Physiology 52
- Nitric Oxide and Endothelin Effects 37
- Telomeres, Telomerase, and Senescence 14
-
- Redox biology and oxidative stress 7
- Ion channel regulation and function 6
- Receptor Mechanisms and Signaling 5
- Co-authors
- Bernd Mayer (28 shared papers)Kurt Schmidt (25 shared papers)Santiago Lamas (10 shared papers)Marı́a A. Blasco (15 shared papers)Juana M. Flores (10 shared papers)Manuel Serrano (8 shared papers)Eycke Böhme (4 shared papers)Estela Pineda‐Molina (5 shared papers)
In The Last Decade
Peter Klatt
69 papers receiving 7.8k citations
Peter Klatt's Hit Papers
Peers
Comparison fields: 5 of 133
- Aging 589
- Biochemistry 1.4k
- Physiology 4.3k
- Biophysics 509
- Molecular Biology 4.1k
Countries citing papers authored by Peter Klatt
This map shows the geographic impact of Peter Klatt'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 Peter Klatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Klatt more than expected).
Fields of papers citing papers by Peter Klatt
This network shows the impact of papers produced by Peter Klatt. 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 Peter Klatt. The network helps show where Peter Klatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Klatt, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Regulation of protein function by S‐glutathiolation in response to oxidative and nitrosative stress Hit paper breakdown → | 2000 | 637 |
| 2 | 1992 | 475 | |
| 3 | 2002 | 413 | |
| 4 | 2007 | 387 | |
| 5 | 2008 | 383 | |
| 6 | 2008 | 351 | |
| 7 | 2001 | 336 | |
| 8 | 1995 | 264 | |
| 9 | 2007 | 262 | |
| 10 | 1999 | 244 | |
| 11 | 1993 | 237 | |
| 12 | 2007 | 215 | |
| 13 | 1992 | 200 | |
| 14 | 1994 | 200 | |
| 15 | 1995 | 181 | |
| 16 | 1999 | 180 | |
| 17 | 1996 | 161 | |
| 18 | 1992 | 158 | |
| 19 | 1994 | 145 | |
| 20 | 1999 | 143 |
About Peter Klatt
Peter Klatt is a scholar working on Physiology, Molecular Biology, Biochemistry, Cell Biology and Immunology, having authored 69 papers that have together received 8.1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (37 papers), Telomeres, Telomerase, and Senescence (14 papers), Eicosanoids and Hypertension Pharmacology (9 papers), Sulfur Compounds in Biology (9 papers), Redox biology and oxidative stress (7 papers), Hemoglobin structure and function (7 papers), Ion channel regulation and function (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Aging (589 citations), Biochemistry (1.4k citations), Physiology (4.3k citations), Biophysics (509 citations) and Molecular Biology (4.1k citations). Peter Klatt has collaborated with scholars based in Spain, Austria and Germany. Frequent co-authors include Bernd Mayer, Kurt Schmidt, Santiago Lamas, Marı́a A. Blasco, Juana M. Flores, Manuel Serrano, Eycke Böhme, Estela Pineda‐Molina, Ernst R. Werner and Isabel Garcı́a-Cao. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Methods in enzymology on CD-ROM/Methods in enzymology, Genes & Development and The Journal of Cell 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.