Anup Dey
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Molecular Biology top 2%
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 5
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- Protein Degradation and Inhibitors 19
- Genomics and Chromatin Dynamics 16
- Ubiquitin and proteasome pathways 14
- Retinoids in leukemia and cellular processes 9
- Histone Deacetylase Inhibitors Research 5
- Co-authors
- Keiko OzatoFarideh ChitsazTom MisteliAsim AbbasiAkira NishiyamaSridhar K. RabindranCarl WuMarian A. Martínez‐Balbás
- Journals
- Molecular and Cellular Biology (14 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Reports (2 papers)Immunity (2 papers)Molecular Biology of the Cell (2 papers)
- Partner nations
- United StatesJapanCameroon
In The Last Decade
Anup Dey
47 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Hematology 548
- Molecular Biology 3.4k
- Immunology 742
- Virology 128
- Oncology 523
Countries citing papers authored by Anup Dey
This map shows the geographic impact of Anup Dey'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 Anup Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anup Dey more than expected).
Fields of papers citing papers by Anup Dey
This network shows the impact of papers produced by Anup Dey. 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 Anup Dey. The network helps show where Anup Dey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anup Dey, 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 | 2020 | 13 | |
| 2 | 2019 | 7 | |
| 3 | 2018 | 20 | |
| 4 | 2017 | 27 | |
| 5 | 2016 | 23 | |
| 6 | 2016 | 280 | |
| 7 | 2013 | 136 | |
| 8 | 2012 | 9 | |
| 9 | 2011 | 10 | |
| 10 | 2009 | 244 | |
| 11 | 2008 | 188 | |
| 12 | 2001 | 61 | |
| 13 | 1999 | 59 | |
| 14 | 1999 | 98 | |
| 15 | 1998 | 39 | |
| 16 | 1997 | 40 | |
| 17 | 1997 | 15 | |
| 18 | 1997 | 187 | |
| 19 | 1995 | 380 | |
| 20 | 1994 | 1 |
About Anup Dey
Anup Dey is a scholar working on Immunology, Molecular Biology, Genetics, Pharmacology and Cancer Research, having authored 47 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (19 papers), Genomics and Chromatin Dynamics (16 papers), Ubiquitin and proteasome pathways (14 papers), Retinoids in leukemia and cellular processes (9 papers), Estrogen and related hormone effects (7 papers), Immunotherapy and Immune Responses (7 papers), Histone Deacetylase Inhibitors Research (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Hematology (548 citations), Molecular Biology (3.4k citations), Immunology (742 citations), Virology (128 citations) and Oncology (523 citations). Anup Dey has collaborated with scholars based in United States, Japan and Cameroon. Frequent co-authors include Keiko Ozato, Keiko Ozato, Farideh Chitsaz, Tom Misteli, Asim Abbasi, Akira Nishiyama, Sridhar K. Rabindran, Carl Wu, Marian A. Martínez‐Balbás and Tomohiko Tamura. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Cell Reports, Immunity and Molecular Biology of the Cell.
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.