Tomáš Obšil
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Aging top 1%
Papers in
-
- 14-3-3 protein interactions 50
- Ubiquitin and proteasome pathways 29
- FOXO transcription factor regulation 13
- ATP Synthase and ATPases Research 10
- Fungal and yeast genetics research 10
- Redox biology and oxidative stress 9
- Protein Kinase Regulation and GTPase Signaling 8
- Pharmacology 15
- Microbial Natural Products and Biosynthesis 14
- Co-authors
- Veronika Obšilová (63 shared papers)Stanko S. Stojilković (6 shared papers)Zonghe Yan (4 shared papers)Petr Heřman (25 shared papers)Fred Dyda (5 shared papers)Jan Teisinger (14 shared papers)David C. Klein (4 shared papers)Surajit Ganguly (4 shared papers)
- Journals
- Journal of Biological Chemistry (12 papers)FEBS Journal (6 papers)Physiological Research (6 papers)Biophysical Journal (4 papers)Biochemical and Biophysical Research Communications (4 papers)
- Partner nations
- CzechiaUnited StatesNetherlands
In The Last Decade
Tomáš Obšil
98 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 108
- Physiology 555
- Aging 174
- Endocrine and Autonomic Systems 428
- Molecular Biology 3.1k
- Pharmacology 457
Countries citing papers authored by Tomáš Obšil
This map shows the geographic impact of Tomáš Obšil'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 Tomáš Obšil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Obšil more than expected).
Fields of papers citing papers by Tomáš Obšil
This network shows the impact of papers produced by Tomáš Obšil. 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 Tomáš Obšil. The network helps show where Tomáš Obšil may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomáš Obšil, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 421 | |
| 2 | 2001 | 327 | |
| 3 | 2011 | 225 | |
| 4 | 2017 | 214 | |
| 5 | 2008 | 207 | |
| 6 | 2001 | 158 | |
| 7 | 2008 | 132 | |
| 8 | 2005 | 101 | |
| 9 | 2003 | 92 | |
| 10 | 2010 | 84 | |
| 11 | 2011 | 83 | |
| 12 | 2004 | 79 | |
| 13 | 2022 | 75 | |
| 14 | 2007 | 69 | |
| 15 | 2014 | 68 | |
| 16 | 2009 | 56 | |
| 17 | 2005 | 56 | |
| 18 | 2008 | 55 | |
| 19 | 2010 | 55 | |
| 20 | 2004 | 55 |
About Tomáš Obšil
Tomáš Obšil is a scholar working on Molecular Biology, Pharmacology, Endocrine and Autonomic Systems, Physiology and Cellular and Molecular Neuroscience, having authored 98 papers that have together received 4.0k indexed citations. Recurring topics across this work include 14-3-3 protein interactions (50 papers), Ubiquitin and proteasome pathways (29 papers), Microbial Natural Products and Biosynthesis (14 papers), FOXO transcription factor regulation (13 papers), ATP Synthase and ATPases Research (10 papers), Fungal and yeast genetics research (10 papers), Redox biology and oxidative stress (9 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). The work is most often cited by research in Physiology (555 citations), Aging (174 citations), Endocrine and Autonomic Systems (428 citations), Molecular Biology (3.1k citations) and Pharmacology (457 citations). Tomáš Obšil has collaborated with scholars based in Czechia, United States and Netherlands. Frequent co-authors include Veronika Obšilová, Stanko S. Stojilković, Zonghe Yan, Petr Heřman, Fred Dyda, Jan Teisinger, David C. Klein, Surajit Ganguly, Claudio Coddou and J. Pablo Huidobro‐Toro. Their work appears in journals such as Journal of Biological Chemistry, FEBS Journal, Physiological Research, Biophysical Journal and Biochemical and Biophysical Research Communications.
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.