Jaak Järv
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
- Physiology 11
- Adenosine and Purinergic Signaling 11
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- Chemical Reaction Mechanisms 13
- Co-authors
- Tamás BartfaiÜlo LangelSøren BrunakNikolaj BlomBritta HedlundAnts TuulmetsAavo AaviksaarKatrin Sak
- Journals
- Bioorganic Chemistry (19 papers)FEBS Letters (5 papers)The Protein Journal (3 papers)Ultrasonics Sonochemistry (3 papers)Tetrahedron Letters (3 papers)
- Partner nations
- EstoniaSwedenUnited Kingdom
In The Last Decade
Jaak Järv
132 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Physiology 72
- Cellular and Molecular Neuroscience 286
- Molecular Biology 726
- Pharmacology 159
- Organic Chemistry 239
Countries citing papers authored by Jaak Järv
This map shows the geographic impact of Jaak Järv'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 Jaak Järv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaak Järv more than expected).
Fields of papers citing papers by Jaak Järv
This network shows the impact of papers produced by Jaak Järv. 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 Jaak Järv. The network helps show where Jaak Järv may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaak Järv, 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 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 0 | |
| 4 | 2020 | 1 | |
| 5 | 2018 | 3 | |
| 6 | 2016 | 2 | |
| 7 | 2015 | 3 | |
| 8 | 2015 | 9 | |
| 9 | 2013 | 1 | |
| 10 | 2012 | 18 | |
| 11 | 2010 | 7 | |
| 12 | 2002 | 1 | |
| 13 | 2002 | 6 | |
| 14 | 2000 | 3 | |
| 15 | 1999 | 22 | |
| 16 | 1999 | 2 | |
| 17 | 1999 | 9 | |
| 18 | 1998 | 6 | |
| 19 | Peptide fragments of myelin basic protein as substrates of protein kinase C. | 1992 | 1 |
| 20 | 1988 | 5 |
About Jaak Järv
Jaak Järv is a scholar working on Physiology, Organic Chemistry, Molecular Biology, Computational Theory and Mathematics and Pharmacology, having authored 140 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (30 papers), Chemical Synthesis and Analysis (24 papers), Computational Drug Discovery Methods (18 papers), Cholinesterase and Neurodegenerative Diseases (18 papers), Protein Structure and Dynamics (15 papers), Chemical Reaction Mechanisms (13 papers), Enzyme Structure and Function (13 papers) and Adenosine and Purinergic Signaling (11 papers). The work is most often cited by research in Physiology (72 citations), Cellular and Molecular Neuroscience (286 citations), Molecular Biology (726 citations), Pharmacology (159 citations) and Organic Chemistry (239 citations). Jaak Järv has collaborated with scholars based in Estonia, Sweden and United Kingdom. Frequent co-authors include Tamás Bartfai, Ülo Langel, Søren Brunak, Nikolaj Blom, Britta Hedlund, Ants Tuulmets, Aavo Aaviksaar, Katrin Sak, Johan Runesson and Tönu Kesvatera. Their work appears in journals such as Bioorganic Chemistry, FEBS Letters, The Protein Journal, Ultrasonics Sonochemistry and Tetrahedron Letters.
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.