Diana M. Mitrea
- Molecular Biology top 1%
- Neurology top 5%
- Cell Biology top 5%
- Biochemistry top 1%
- Materials Chemistry
- Co-authors
- Richard W. KriwackiClifford P. BrangwynneLian ZhuRohit V. PappuMarina FericNilesh VaidyaTyler S. HarmonTiffany M. Richardson
- Topics
- RNA Research and Splicing (17 papers)RNA modifications and cancer (13 papers)RNA and protein synthesis mechanisms (13 papers)
- Partner nations
- United StatesFranceRomania
In The Last Decade
Diana M. Mitrea
34 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 4.3k
- Neurology 436
- Cell Biology 373
- Biochemistry 332
- Materials Chemistry 296
Countries citing papers authored by Diana M. Mitrea
This map shows the geographic impact of Diana M. Mitrea'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 Diana M. Mitrea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana M. Mitrea more than expected).
Fields of papers citing papers by Diana M. Mitrea
This network shows the impact of papers produced by Diana M. Mitrea. 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 Diana M. Mitrea. The network helps show where Diana M. Mitrea may publish in the future.
Co-authorship network of co-authors of Diana M. Mitrea
This figure shows the co-authorship network connecting the top 25 collaborators of Diana M. Mitrea. A scholar is included among the top collaborators of Diana M. Mitrea 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 Diana M. Mitrea. Diana M. Mitrea 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 | 1 | |
| 3 | 22 | |
| 4 | 27 | |
| 5 | 1 | |
| 6 | 127 | |
| 7 | 31 | |
| 8 | Modulating biomolecular condensates: a novel approach to drug discoverybreakdown → | 218 |
| 9 | Composition-dependent thermodynamics of intracellular phase separationbreakdown → | 472 |
| 10 | 2 | |
| 11 | 131 | |
| 12 | 123 | |
| 13 | 77 | |
| 14 | 286 | |
| 15 | C9orf72 Dipeptide Repeats Impair the Assembly, Dynamics, and Function of Membrane-Less Organellesbreakdown → | 510 |
| 16 | Coexisting Liquid Phases Underlie Nucleolar Subcompartmentsbreakdown → | 1349 |
| 17 | Phase separation in biology; functional organization of a higher orderbreakdown → | 538 |
| 18 | 67 | |
| 19 | 61 | |
| 20 | 33 |
About Diana M. Mitrea
Diana M. Mitrea is a scholar working on Molecular Biology, Neurology and Genetics, having authored 36 papers that have together received 5.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (17 papers), RNA modifications and cancer (13 papers) and RNA and protein synthesis mechanisms (13 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Biochemistry (332 citations) and Neurology (436 citations). Diana M. Mitrea has collaborated with scholars based in United States, France and Romania. Frequent co-authors include Richard W. Kriwacki, Clifford P. Brangwynne, Lian Zhu, Rohit V. Pappu, Marina Feric, Nilesh Vaidya, Tyler S. Harmon, Tiffany M. Richardson, Amanda Nourse and Mylene C. Ferrolino. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.