Jui M. Dave
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Cell Biology top 10%
- Skin and Cellular Biology Research
- Cellular Mechanics and Interactions
Papers in
-
- Angiogenesis and VEGF in Cancer 4
- Single-cell and spatial transcriptomics 3
- RNA Research and Splicing 2
- Fibroblast Growth Factor Research 2
-
- Protease and Inhibitor Mechanisms 3
- Co-authors
- Kayla J. Bayless (6 shared papers)Daniel M. Greif (12 shared papers)Kathleen A. Martin (4 shared papers)Raja Chakraborty (3 shared papers)Allison C. Ostriker (2 shared papers)Payel Chatterjee (2 shared papers)Hojin Kang (2 shared papers)Steve A. Maxwell (2 shared papers)
- Journals
- eLife (2 papers)Comprehensive physiology (2 papers)Developmental Cell (1 paper)iScience (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Jui M. Dave
19 papers receiving 762 citations
Peers
Comparison fields: 5 of 78
- Immunology and Allergy 63
- Cell Biology 134
- Cancer Research 102
- Molecular Biology 372
- Neurology 40
Countries citing papers authored by Jui M. Dave
This map shows the geographic impact of Jui M. Dave'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 Jui M. Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui M. Dave more than expected).
Fields of papers citing papers by Jui M. Dave
This network shows the impact of papers produced by Jui M. Dave. 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 Jui M. Dave. The network helps show where Jui M. Dave may publish in the future.
Co-authors
The 25 scholars most cited alongside Jui M. Dave, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 130 | |
| 2 | 2021 | 113 | |
| 3 | 2016 | 88 | |
| 4 | 2012 | 67 | |
| 5 | 2022 | 66 | |
| 6 | 2017 | 56 | |
| 7 | 2021 | 53 | |
| 8 | 2018 | 44 | |
| 9 | 2022 | 32 | |
| 10 | 2013 | 32 | |
| 11 | 2016 | 28 | |
| 12 | 2023 | 20 | |
| 13 | 2016 | 18 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2026 | 0 |
About Jui M. Dave
Jui M. Dave is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 766 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Cell Adhesion Molecules Research (4 papers), Single-cell and spatial transcriptomics (3 papers), Protease and Inhibitor Mechanisms (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), RNA Research and Splicing (2 papers), Connective tissue disorders research (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Immunology and Allergy (63 citations), Cell Biology (134 citations), Cancer Research (102 citations), Molecular Biology (372 citations) and Neurology (40 citations). Jui M. Dave has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Kayla J. Bayless, Daniel M. Greif, Kathleen A. Martin, Raja Chakraborty, Allison C. Ostriker, Payel Chatterjee, Hojin Kang, Steve A. Maxwell, Rachana R. Chandran and Eva M. Rzucidlo. Their work appears in journals such as eLife, Comprehensive physiology, Developmental Cell, iScience and JCI Insight.
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.