Nenad Pavin
Impact in
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Aging top 10%
Papers in
-
- Photosynthetic Processes and Mechanisms 12
- Fractal and DNA sequence analysis 7
- Cell Biology 33
- Microtubule and mitosis dynamics 33
- Cellular Mechanics and Interactions 8
- Cellular transport and secretion 7
- Co-authors
- Iva M. Tolić (25 shared papers)Frank Jülicher (8 shared papers)V. Paar (19 shared papers)Liedewij Laan (4 shared papers)Marileen Dogterom (3 shared papers)Sven Vogel (3 shared papers)Samara L. Reck‐Peterson (1 shared paper)Julien Husson (1 shared paper)
- Journals
- Nature Communications (3 papers)Biophysical Journal (3 papers)Robotica (2 papers)New Journal of Physics (2 papers)Cell (2 papers)
- Partner nations
- CroatiaGermanyUnited States
In The Last Decade
Nenad Pavin
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Cell Biology 1.0k
- Aging 29
- Molecular Biology 920
- Biophysics 74
- Structural Biology 17
Countries citing papers authored by Nenad Pavin
This map shows the geographic impact of Nenad Pavin'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 Nenad Pavin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nenad Pavin more than expected).
Fields of papers citing papers by Nenad Pavin
This network shows the impact of papers produced by Nenad Pavin. 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 Nenad Pavin. The network helps show where Nenad Pavin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nenad Pavin, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 288 | |
| 2 | 2009 | 102 | |
| 3 | 2016 | 99 | |
| 4 | 2017 | 72 | |
| 5 | 2013 | 70 | |
| 6 | 2016 | 59 | |
| 7 | 2012 | 55 | |
| 8 | 2018 | 41 | |
| 9 | 2006 | 39 | |
| 10 | 2006 | 34 | |
| 11 | 2012 | 33 | |
| 12 | 2020 | 31 | |
| 13 | 2010 | 31 | |
| 14 | 2014 | 28 | |
| 15 | 2021 | 25 | |
| 16 | 2004 | 22 | |
| 17 | 1997 | 21 | |
| 18 | 2016 | 21 | |
| 19 | 2006 | 19 | |
| 20 | 2019 | 19 |
About Nenad Pavin
Nenad Pavin is a scholar working on Molecular Biology, Cell Biology, Statistical and Nonlinear Physics, Plant Science and Condensed Matter Physics, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (33 papers), Photosynthetic Processes and Mechanisms (12 papers), Chaos control and synchronization (11 papers), Quantum chaos and dynamical systems (10 papers), Cellular Mechanics and Interactions (8 papers), Plant Molecular Biology Research (7 papers), Fractal and DNA sequence analysis (7 papers) and Cellular transport and secretion (7 papers). The work is most often cited by research in Cell Biology (1.0k citations), Aging (29 citations), Molecular Biology (920 citations), Biophysics (74 citations) and Structural Biology (17 citations). Nenad Pavin has collaborated with scholars based in Croatia, Germany and United States. Frequent co-authors include Iva M. Tolić, Frank Jülicher, V. Paar, Liedewij Laan, Marileen Dogterom, Sven Vogel, Samara L. Reck‐Peterson, Julien Husson, Ronald D. Vale and Martijn M. VanDuijn. Their work appears in journals such as Nature Communications, Biophysical Journal, Robotica, New Journal of Physics and Cell.
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.