Surajit Barman
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- Ubiquitin and proteasome pathways 2
- 14-3-3 protein interactions 2
-
- Alzheimer's disease research and treatments 5
- Co-authors
- Surajit Ghosh (15 shared papers)Gaurav Das (10 shared papers)Krishnangsu Pradhan (9 shared papers)Juhee Khan (8 shared papers)Batakrishna Jana (8 shared papers)Prasenjit Mondal (9 shared papers)Anindyasundar Adak (5 shared papers)Debmalya Bhunia (6 shared papers)
- Journals
- ACS Chemical Neuroscience (5 papers)Chemical Communications (2 papers)ACS Applied Materials & Interfaces (2 papers)Inorganica Chimica Acta (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- IndiaUnited KingdomSouth Korea
In The Last Decade
Surajit Barman
21 papers receiving 331 citations
Peers
Comparison fields: 5 of 60
- Biomaterials 97
- Molecular Medicine 27
- Pharmacology 53
- Physiology 73
- Cellular and Molecular Neuroscience 37
Countries citing papers authored by Surajit Barman
This map shows the geographic impact of Surajit Barman'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 Surajit Barman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surajit Barman more than expected).
Fields of papers citing papers by Surajit Barman
This network shows the impact of papers produced by Surajit Barman. 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 Surajit Barman. The network helps show where Surajit Barman may publish in the future.
Co-authors
The 25 scholars most cited alongside Surajit Barman, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 65 | |
| 2 | 2018 | 39 | |
| 3 | 2016 | 28 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 22 | |
| 6 | 2018 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2018 | 20 | |
| 9 | 2022 | 10 | |
| 10 | 2024 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2019 | 4 | |
| 20 | 2021 | 3 |
About Surajit Barman
Surajit Barman is a scholar working on Molecular Biology, Physiology, Biomaterials, Cell Biology and Organic Chemistry, having authored 22 papers that have together received 333 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Alzheimer's disease research and treatments (5 papers), Supramolecular Self-Assembly in Materials (5 papers), Cancer-related Molecular Pathways (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Biomaterials (97 citations), Molecular Medicine (27 citations), Pharmacology (53 citations), Physiology (73 citations) and Cellular and Molecular Neuroscience (37 citations). Surajit Barman has collaborated with scholars based in India, United Kingdom and South Korea. Frequent co-authors include Surajit Ghosh, Gaurav Das, Krishnangsu Pradhan, Juhee Khan, Batakrishna Jana, Prasenjit Mondal, Anindyasundar Adak, Debmalya Bhunia, Saswat Mohapatra and Chirantan Kar. Their work appears in journals such as ACS Chemical Neuroscience, Chemical Communications, ACS Applied Materials & Interfaces, Inorganica Chimica Acta and Journal of Medicinal Chemistry.
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.