Pablo A. Iglesias
- Cell Biology top 0.1%
- Cellular Mechanics and Interactions 76
- Microtubule and mitosis dynamics 37
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques 15
- Modeling and Simulation top 1%
- Molecular Biology top 2%
- Gene Regulatory Network Analysis 41
- Aging top 5%
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- Stability and Control of Uncertain Systems 26
- Control Systems and Identification 22
- Advanced Control Systems Optimization 11
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- 3D Printing in Biomedical Research 15
- Co-authors
- Peter N. DevreotesAndre LevchenkoDouglas N. RobinsonChuan‐Hsiang HuangYuan XiongLan MaTianzhi LuoRobert J. Prill
- Journals
- Biophysical Journal (17 papers)Proceedings of the National Academy of Sciences (7 papers)PLoS Computational Biology (7 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Pablo A. Iglesias
172 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 167
- Cell Biology 3.2k
- Biophysics 765
- Modeling and Simulation 240
- Molecular Biology 3.2k
- Aging 70
Countries citing papers authored by Pablo A. Iglesias
This map shows the geographic impact of Pablo A. Iglesias'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 Pablo A. Iglesias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo A. Iglesias more than expected).
Fields of papers citing papers by Pablo A. Iglesias
This network shows the impact of papers produced by Pablo A. Iglesias. 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 Pablo A. Iglesias. The network helps show where Pablo A. Iglesias may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pablo A. Iglesias, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 51 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2019 | 24 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2017 | 106 | |
| 16 | 2016 | 7 | |
| 17 | 2014 | 61 | |
| 18 | 2013 | 210 | |
| 19 | 2005 | 196 | |
| 20 | 2004 | 198 |
About Pablo A. Iglesias
Pablo A. Iglesias is a scholar working on Cell Biology, Biophysics and Modeling and Simulation, having authored 182 papers that have together received 6.4k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (76 papers), Gene Regulatory Network Analysis (41 papers), Microtubule and mitosis dynamics (37 papers), Stability and Control of Uncertain Systems (26 papers), Control Systems and Identification (22 papers), Advanced Fluorescence Microscopy Techniques (15 papers), 3D Printing in Biomedical Research (15 papers) and Advanced Control Systems Optimization (11 papers). The work is most often cited by research in Cell Biology (3.2k citations), Biophysics (765 citations) and Modeling and Simulation (240 citations). Pablo A. Iglesias has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Peter N. Devreotes, Andre Levchenko, Douglas N. Robinson, Chuan‐Hsiang Huang, Yuan Xiong, Lan Ma, Tianzhi Luo, Robert J. Prill, Sayak Bhattacharya and Changji Shi. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, PLoS Computational Biology, Current Biology and IEEE Transactions on Automatic Control.
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.