Avirup Bose
- Cell Biology top 5%
- Cellular transport and secretion 4
- Endoplasmic Reticulum Stress and Disease 2
- Molecular Biology top 10%
- Metabolism, Diabetes, and Cancer 5
- Protein Kinase Regulation and GTPase Signaling 3
- Glycosylation and Glycoproteins Research 2
- Muscle Physiology and Disorders 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Physiology top 10%
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- Virus-based gene therapy research 2
- Co-authors
- Michael CzechZhen JiangAnil ChawlaAdı́lson GuilhermeDarcy P. PomerleauSarah M. NicoloroSilvia CorveraPaul S. Furcinitti
- Journals
- Journal of Biological Chemistry (6 papers)Biochemistry (2 papers)Archives of Biochemistry and Biophysics (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Avirup Bose
16 papers receiving 918 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 388
- Molecular Biology 725
- Physiology 31
- Physiology 147
- Cardiology and Cardiovascular Medicine 112
Countries citing papers authored by Avirup Bose
This map shows the geographic impact of Avirup Bose'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 Avirup Bose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avirup Bose more than expected).
Fields of papers citing papers by Avirup Bose
This network shows the impact of papers produced by Avirup Bose. 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 Avirup Bose. The network helps show where Avirup Bose may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Avirup Bose, 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 | 2021 | 8 | |
| 2 | 2014 | 34 | |
| 3 | 2010 | 56 | |
| 4 | 2005 | 40 | |
| 5 | 2004 | 135 | |
| 6 | 2004 | 124 | |
| 7 | 2002 | 122 | |
| 8 | 2002 | 214 | |
| 9 | 2001 | 21 | |
| 10 | 2001 | 53 | |
| 11 | 1997 | 15 | |
| 12 | 1997 | 11 | |
| 13 | 1997 | 22 | |
| 14 | 1994 | 43 | |
| 15 | Mechanism of action of an eukaryotic initiation factor-2 (eIF-2) associated 67 kDa glycoprotein (p67) and an eIF-2 kinase (dsI). | 1994 | 4 |
| 16 | 1993 | 28 |
About Avirup Bose
Avirup Bose is a scholar working on Aging, Cell Biology and Physiology, having authored 16 papers that have together received 930 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Cellular transport and secretion (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Glycosylation and Glycoproteins Research (2 papers), Virus-based gene therapy research (2 papers), Muscle Physiology and Disorders (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cell Biology (388 citations), Molecular Biology (725 citations) and Physiology (31 citations). Avirup Bose has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Michael Czech, Zhen Jiang, Anil Chawla, Adı́lson Guilherme, Darcy P. Pomerleau, Sarah M. Nicoloro, Silvia Corvera, Paul S. Furcinitti, Qiong Zhou and Michael Way. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Archives of Biochemistry and Biophysics, Molecular and Cellular Biology and ACS Medicinal Chemistry Letters.
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.