Adrián G. Turjanski
- Molecular Biology top 5%
- Protein Structure and Dynamics 22
- Genomics and Phylogenetic Studies 9
- Biochemical and Molecular Research 8
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- Computational Drug Discovery Methods 15
- Organic Chemistry top 5%
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- Enzyme Structure and Function 12
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- Microbial Community Ecology and Physiology 10
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- Tuberculosis Research and Epidemiology 9
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- Nitric Oxide and Endothelin Effects 6
- Co-authors
- J. Silvio GutkindMarcelo A. MartíDarío A. Estrı́nJosé P. VaquéLucas A. DefelipeEsteban LanzarottiRuth E. RosensteinGerhard Hummer
- Journals
- Journal of the American Chemical Society (4 papers)Nucleic Acids Research (2 papers)Bioinformatics (2 papers)
- Partner nations
- ArgentinaUnited StatesSpain
In The Last Decade
Adrián G. Turjanski
100 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 146
- Endocrine and Autonomic Systems 221
- Molecular Biology 1.7k
- Computational Theory and Mathematics 243
- Cellular and Molecular Neuroscience 229
- Organic Chemistry 344
Countries citing papers authored by Adrián G. Turjanski
This map shows the geographic impact of Adrián G. Turjanski'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 Adrián G. Turjanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrián G. Turjanski more than expected).
Fields of papers citing papers by Adrián G. Turjanski
This network shows the impact of papers produced by Adrián G. Turjanski. 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 Adrián G. Turjanski. The network helps show where Adrián G. Turjanski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adrián G. Turjanski, 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 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 54 | |
| 13 | 2020 | 29 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2014 | 32 | |
| 17 | 2014 | 34 | |
| 18 | 2011 | 49 | |
| 19 | 2007 | 348 | |
| 20 | 2002 | 51 |
About Adrián G. Turjanski
Adrián G. Turjanski is a scholar working on Molecular Biology, Computational Theory and Mathematics and Endocrine and Autonomic Systems, having authored 102 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), Computational Drug Discovery Methods (15 papers), Enzyme Structure and Function (12 papers), Microbial Community Ecology and Physiology (10 papers), Tuberculosis Research and Epidemiology (9 papers), Genomics and Phylogenetic Studies (9 papers), Biochemical and Molecular Research (8 papers) and Nitric Oxide and Endothelin Effects (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (221 citations), Molecular Biology (1.7k citations) and Computational Theory and Mathematics (243 citations). Adrián G. Turjanski has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include J. Silvio Gutkind, Marcelo A. Martí, Darío A. Estrı́n, José P. Vaqué, Lucas A. Defelipe, Esteban Lanzarotti, Ruth E. Rosenstein, Gerhard Hummer, Fabio Doctorovich and Robert B. Best. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Bioinformatics.
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.