Thomas Kislinger
- Clinical Biochemistry top 0.02%
- Advanced Glycation End Products research 16
- Cancer Research top 1%
- MicroRNA in disease regulation 10
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 55
- Mass Spectrometry Techniques and Applications 34
- Nephrology top 1%
-
- Extracellular vesicles in disease 16
- RNA modifications and cancer 14
- Metabolomics and Mass Spectrometry Studies 13
- Ubiquitin and proteasome pathways 9
- Co-authors
- Ann Marie SchmidtDavid M. SternAndrew EmiliWu QuAnthony O. GramoliniCaifeng FuMonika PischetsriederVladimir Ignatchenko
- Journals
- Journal of Proteome Research (19 papers)Molecular & Cellular Proteomics (8 papers)Nature Communications (8 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Thomas Kislinger
160 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Clinical Biochemistry 3.7k
- Cancer Research 1.5k
- Endocrinology, Diabetes and Metabolism 1.7k
- Spectroscopy 1.5k
- Nephrology 645
Countries citing papers authored by Thomas Kislinger
This map shows the geographic impact of Thomas Kislinger'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 Kislinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Kislinger more than expected).
Fields of papers citing papers by Thomas Kislinger
This network shows the impact of papers produced by Thomas Kislinger. 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 Kislinger. The network helps show where Thomas Kislinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Kislinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 2 | |
| 13 | 2020 | 29 | |
| 14 | 2015 | 47 | |
| 15 | 2015 | 23 | |
| 16 | 2011 | 25 | |
| 17 | 2011 | 41 | |
| 18 | 2010 | 59 | |
| 19 | 2008 | 40 | |
| 20 | 2000 | 399 |
About Thomas Kislinger
Thomas Kislinger is a scholar working on Spectroscopy, Clinical Biochemistry and Molecular Biology, having authored 168 papers that have together received 11.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (55 papers), Mass Spectrometry Techniques and Applications (34 papers), Advanced Glycation End Products research (16 papers), Extracellular vesicles in disease (16 papers), RNA modifications and cancer (14 papers), Metabolomics and Mass Spectrometry Studies (13 papers), MicroRNA in disease regulation (10 papers) and Ubiquitin and proteasome pathways (9 papers). The work is most often cited by research in Clinical Biochemistry (3.7k citations), Cancer Research (1.5k citations) and Endocrinology, Diabetes and Metabolism (1.7k citations). Thomas Kislinger has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Ann Marie Schmidt, David M. Stern, Andrew Emili, Wu Qu, Anthony O. Gramolini, Caifeng Fu, Monika Pischetsrieder, Vladimir Ignatchenko, M. Hofmann and Yan Lü. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, Nature Communications, PROTEOMICS 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.