Tatu Pantsar
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Protein Kinase Regulation and GTPase Signaling
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
Papers in
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- Protein Kinase Regulation and GTPase Signaling 8
- Protein Structure and Dynamics 5
- Melanoma and MAPK Pathways 5
- Chemical Synthesis and Analysis 3
- Receptor Mechanisms and Signaling 3
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- Computational Drug Discovery Methods 4
- Co-authors
- Antti PosoStefan LauferDaniel DauchTuomo LaitinenAriane Nunes‐AlvesEveline LescrinierKalaimathy SingaraveluMichiel Vanmeert
In The Last Decade
Tatu Pantsar
27 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 401
- Molecular Biology 947
- Pharmacology 204
- Toxicology 39
- Pharmacology 85
Countries citing papers authored by Tatu Pantsar
This map shows the geographic impact of Tatu Pantsar'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 Tatu Pantsar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatu Pantsar more than expected).
Fields of papers citing papers by Tatu Pantsar
This network shows the impact of papers produced by Tatu Pantsar. 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 Tatu Pantsar. The network helps show where Tatu Pantsar may publish in the future.
Co-authors
The 25 scholars most cited alongside Tatu Pantsar, 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 | 2024 | 6 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 9 | |
| 8 | Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development Hit paper breakdown → | 2020 | 372 |
| 9 | 2020 | 9 | |
| 10 | 2020 | 6 | |
| 11 | 2020 | 32 | |
| 12 | 2019 | 26 | |
| 13 | 2019 | 184 | |
| 14 | 2018 | 33 | |
| 15 | 2018 | 61 | |
| 16 | 2017 | 10 | |
| 17 | 2016 | 197 | |
| 18 | 2014 | 35 | |
| 19 | 2013 | 85 | |
| 20 | 2013 | 16 |
About Tatu Pantsar
Tatu Pantsar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Pharmacology and Oncology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Protein Structure and Dynamics (5 papers), Melanoma and MAPK Pathways (5 papers), Enzyme Structure and Function (5 papers), Computational Drug Discovery Methods (4 papers), Chemical Synthesis and Analysis (3 papers), Cannabis and Cannabinoid Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Computational Theory and Mathematics (401 citations), Molecular Biology (947 citations), Pharmacology (204 citations), Toxicology (39 citations) and Pharmacology (85 citations). Tatu Pantsar has collaborated with scholars based in Finland, Germany and Italy. Frequent co-authors include Antti Poso, Stefan Laufer, Daniel Dauch, Tuomo Laitinen, Ariane Nunes‐Alves, Eveline Lescrinier, Kalaimathy Singaravelu, Michiel Vanmeert, Aleksei Kabedev and Shakhawath Hossain. Their work appears in journals such as Computational and Structural Biotechnology Journal, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Scientific Reports and Molecular Pharmacology.
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.