Gül H. Zerze
- Molecular Biology top 2%
- Materials Chemistry top 10%
- Neurology top 2%
- Biomedical Engineering top 10%
- Biochemistry top 2%
- Co-authors
- Jeetain MittalNicolas L. FawziAlexander E. ConicellaGregory L. DignonRobert B. BestPablo G. DebenedettiFrancesco SciortinoAnastasia C. Murthy
- Topics
- Protein Structure and Dynamics (22 papers)RNA Research and Splicing (10 papers)Spectroscopy and Quantum Chemical Studies (7 papers)
- Partner nations
- United StatesTürkiyeUnited Kingdom
In The Last Decade
Gül H. Zerze
40 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 2.7k
- Materials Chemistry 606
- Neurology 446
- Biomedical Engineering 287
- Biochemistry 231
Countries citing papers authored by Gül H. Zerze
This map shows the geographic impact of Gül H. Zerze'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 Gül H. Zerze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gül H. Zerze more than expected).
Fields of papers citing papers by Gül H. Zerze
This network shows the impact of papers produced by Gül H. Zerze. 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 Gül H. Zerze. The network helps show where Gül H. Zerze may publish in the future.
Co-authorship network of co-authors of Gül H. Zerze
This figure shows the co-authorship network connecting the top 25 collaborators of Gül H. Zerze. A scholar is included among the top collaborators of Gül H. Zerze based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gül H. Zerze. Gül H. Zerze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | TDP-43 α-helical structure tunes liquid–liquid phase separation and functionbreakdown → | 254 |
| 6 | 2 | |
| 7 | Molecular interactions underlying liquid−liquid phase separation of the FUS low-complexity domainbreakdown → | 483 |
| 8 | 1 | |
| 9 | 59 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | Mechanistic View of hnRNPA2 Low-Complexity Domain Structure, Interactions, and Phase Separation Altered by Mutation and Arginine Methylationbreakdown → | 301 |
| 13 | 82 | |
| 14 | 157 | |
| 15 | Phosphorylation of the | 520 |
| 16 | 19 | |
| 17 | ALS Mutations Disrupt Phase Separation Mediated by α-Helical Structure in the TDP-43 Low-Complexity C-Terminal Domainbreakdown → | 611 |
| 18 | 20 | |
| 19 | 26 | |
| 20 | 2 |
About Gül H. Zerze
Gül H. Zerze is a scholar working on Molecular Biology, Genetics and Biophysics, having authored 42 papers that have together received 3.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), RNA Research and Splicing (10 papers) and Spectroscopy and Quantum Chemical Studies (7 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Biochemistry (231 citations) and Neurology (446 citations). Gül H. Zerze has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Jeetain Mittal, Nicolas L. Fawzi, Alexander E. Conicella, Gregory L. Dignon, Robert B. Best, Pablo G. Debenedetti, Francesco Sciortino, Anastasia C. Murthy, Sapun H. Parekh and Veronica H. Ryan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review 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.