Utpal P. Davé
Impact in
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 5%
- RNA regulation and disease
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
Papers in
- Hematology 13
- Acute Myeloid Leukemia Research 7
- Immunology 16
- Immune Cell Function and Interaction 9
- T-cell and Retrovirus Studies 8
- Co-authors
- Xi ChenJin YeM S BrownRon PrywesRyutaro KomuroRobert B. RawsonNancy A. JenkinsNeal G. Copeland
- Journals
- Blood (12 papers)Molecular and Cellular Biology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Stem Cells (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Utpal P. Davé
40 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cell Biology 1.3k
- Molecular Biology 1.5k
- Aging 35
- Epidemiology 638
- Immunology 378
Countries citing papers authored by Utpal P. Davé
This map shows the geographic impact of Utpal P. Davé'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 Utpal P. Davé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utpal P. Davé more than expected).
Fields of papers citing papers by Utpal P. Davé
This network shows the impact of papers produced by Utpal P. Davé. 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 Utpal P. Davé. The network helps show where Utpal P. Davé may publish in the future.
Co-authors
The 25 scholars most cited alongside Utpal P. Davé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 4 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2017 | 7 | |
| 12 | 2014 | 8 | |
| 13 | 2014 | 44 | |
| 14 | 2014 | 7 | |
| 15 | 2012 | 69 | |
| 16 | 2011 | 15 | |
| 17 | 2010 | 13 | |
| 18 | 2009 | 55 | |
| 19 | 2008 | 1 | |
| 20 | ER Stress Induces Cleavage of Membrane-Bound ATF6 by the Same Proteases that Process SREBPs Hit paper breakdown → | 2000 | 1477 |
About Utpal P. Davé
Utpal P. Davé is a scholar working on Hematology, Immunology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 40 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and Retrovirus Studies (8 papers), Acute Myeloid Leukemia Research (7 papers), CAR-T cell therapy research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Virus-based gene therapy research (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (1.5k citations), Aging (35 citations), Epidemiology (638 citations) and Immunology (378 citations). Utpal P. Davé has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Xi Chen, Jin Ye, M S Brown, Ron Prywes, Ryutaro Komuro, Robert B. Rawson, Nancy A. Jenkins, Neal G. Copeland, Michael S. Brown and Joseph L. Goldstein. Their work appears in journals such as Blood, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Stem Cells and Molecular Cancer Therapeutics.
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.