Gregory L. Dignon
- Molecular Biology top 2%
- Materials Chemistry top 10%
- Biochemistry top 1%
- Neurology top 5%
- Cell Biology top 10%
- Co-authors
- Jeetain MittalRobert B. BestWenwei ZhengYoung C. KimNicolas L. FawziGül H. ZerzeAlexander E. ConicellaVeronica H. Ryan
- Topics
- RNA Research and Splicing (22 papers)RNA modifications and cancer (9 papers)RNA and protein synthesis mechanisms (9 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Gregory L. Dignon
23 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 3.4k
- Materials Chemistry 434
- Biochemistry 342
- Neurology 263
- Cell Biology 194
Countries citing papers authored by Gregory L. Dignon
This map shows the geographic impact of Gregory L. Dignon'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 Gregory L. Dignon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory L. Dignon more than expected).
Fields of papers citing papers by Gregory L. Dignon
This network shows the impact of papers produced by Gregory L. Dignon. 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 Gregory L. Dignon. The network helps show where Gregory L. Dignon may publish in the future.
Co-authorship network of co-authors of Gregory L. Dignon
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory L. Dignon. A scholar is included among the top collaborators of Gregory L. Dignon 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 Gregory L. Dignon. Gregory L. Dignon 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 | 6 | |
| 3 | 10 | |
| 4 | 65 | |
| 5 | 48 | |
| 6 | 81 | |
| 7 | TDP-43 α-helical structure tunes liquid–liquid phase separation and functionbreakdown → | 254 |
| 8 | 212 | |
| 9 | 2 | |
| 10 | 81 | |
| 11 | Molecular interactions underlying liquid−liquid phase separation of the FUS low-complexity domainbreakdown → | 483 |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 86 | |
| 15 | 261 | |
| 16 | Mechanistic View of hnRNPA2 Low-Complexity Domain Structure, Interactions, and Phase Separation Altered by Mutation and Arginine Methylationbreakdown → | 301 |
| 17 | Sequence determinants of protein phase behavior from a coarse-grained modelbreakdown → | 426 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Phosphorylation of the | 520 |
About Gregory L. Dignon
Gregory L. Dignon is a scholar working on Biochemistry, Molecular Biology and Genetics, having authored 26 papers that have together received 3.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (22 papers), RNA modifications and cancer (9 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Biochemistry (342 citations) and Neurology (263 citations). Gregory L. Dignon has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jeetain Mittal, Robert B. Best, Wenwei Zheng, Young C. Kim, Nicolas L. Fawzi, Gül H. Zerze, Alexander E. Conicella, Veronica H. Ryan, Anastasia C. Murthy and Sapun H. Parekh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.