Arijit Das
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
Papers in
-
- Receptor Mechanisms and Signaling 4
- RNA and protein synthesis mechanisms 4
- Advanced biosensing and bioanalysis techniques 3
- Machine Learning in Bioinformatics 2
-
- Adenosine and Purinergic Signaling 5
- Co-authors
- Kenneth A. Jacobson (6 shared papers)T. Kendall Harden (4 shared papers)Hyojin Ko (3 shared papers)Matthew O. Barrett (2 shared papers)Yixing Zhou (3 shared papers)Rhonda L. Carter (3 shared papers)Dibyendu Sarkar (4 shared papers)Ingrid Fricks (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Gene (1 paper)ACS Omega (1 paper)Genomics (1 paper)Molecular Systems Biology (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Arijit Das
28 papers receiving 395 citations
Peers
Comparison fields: 5 of 76
- Physiology 158
- Endocrine and Autonomic Systems 25
- Infectious Diseases 61
- Molecular Biology 237
- Molecular Medicine 13
Countries citing papers authored by Arijit Das
This map shows the geographic impact of Arijit Das'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 Arijit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Das more than expected).
Fields of papers citing papers by Arijit Das
This network shows the impact of papers produced by Arijit Das. 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 Arijit Das. The network helps show where Arijit Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Arijit Das, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 70 | |
| 2 | 2009 | 43 | |
| 3 | 2011 | 38 | |
| 4 | 2009 | 33 | |
| 5 | 2009 | 26 | |
| 6 | 2016 | 23 | |
| 7 | 2009 | 20 | |
| 8 | 2013 | 19 | |
| 9 | 2014 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2016 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2010 | 12 | |
| 14 | 2010 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2011 | 10 | |
| 17 | 2013 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2016 | 5 | |
| 20 | A COMPARATIVE STUDY BETWEEN CORE STABILIZATION AND SUPERFICIAL STRENGTHENING EXERCISES FOR THE TREATMENT OF LOW BACK PAIN IN TWO WHEELER RIDERS | 2015 | 3 |
About Arijit Das
Arijit Das is a scholar working on Molecular Biology, Physiology, Infectious Diseases, Biomaterials and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 403 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (5 papers), Receptor Mechanisms and Signaling (4 papers), RNA and protein synthesis mechanisms (4 papers), Tuberculosis Research and Epidemiology (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Machine Learning in Bioinformatics (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Physiology (158 citations), Endocrine and Autonomic Systems (25 citations), Infectious Diseases (61 citations), Molecular Biology (237 citations) and Molecular Medicine (13 citations). Arijit Das has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Kenneth A. Jacobson, T. Kendall Harden, Hyojin Ko, Matthew O. Barrett, Yixing Zhou, Rhonda L. Carter, Dibyendu Sarkar, Ingrid Fricks, Ranjeet Singh and Soumitra Basu. Their work appears in journals such as Journal of Biological Chemistry, Gene, ACS Omega, Genomics and Molecular Systems Biology.
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.