Nobendu Mukerjee
- Molecular Biology
- Cancer Research top 10%
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Biomedical Engineering
- Co-authors
- Arabinda GhoshNanasaheb D. ThoratSwastika MaitraDattatreya MukherjeeΑθανάσιος ΑλεξίουSagnik NagSukhamoy GoraiKrishnan Anand
- Topics
- Extracellular vesicles in disease (18 papers)Computational Drug Discovery Methods (16 papers)Leprosy Research and Treatment (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEFood Chemistry
- Partner nations
- IndiaSaudi ArabiaBangladesh
In The Last Decade
Nobendu Mukerjee
84 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 530
- Cancer Research 179
- Computational Theory and Mathematics 135
- Organic Chemistry 97
- Biomedical Engineering 96
Countries citing papers authored by Nobendu Mukerjee
This map shows the geographic impact of Nobendu Mukerjee'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 Nobendu Mukerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobendu Mukerjee more than expected).
Fields of papers citing papers by Nobendu Mukerjee
This network shows the impact of papers produced by Nobendu Mukerjee. 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 Nobendu Mukerjee. The network helps show where Nobendu Mukerjee may publish in the future.
Co-authorship network of co-authors of Nobendu Mukerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Nobendu Mukerjee. A scholar is included among the top collaborators of Nobendu Mukerjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nobendu Mukerjee. Nobendu Mukerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Exosome isolation and characterization for advanced diagnostic and therapeutic applicationsbreakdown → | 28 |
| 2 | 7 | |
| 3 | 25 | |
| 4 | 3 | |
| 5 | 28 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 22 | |
| 10 | 15 | |
| 11 | 20 | |
| 12 | 29 | |
| 13 | 22 | |
| 14 | 38 | |
| 15 | 12 | |
| 16 | 12 | |
| 17 | 9 | |
| 18 | CHLOROQUINE FOR REACTIONS IN LEPROSY. | 1 |
| 19 | The late lepromin reaction in subsided lepromatous cases. | 6 |
| 20 | Lepromatous Leprosy with Exclusively Localized Macular Lesions. | 1 |
About Nobendu Mukerjee
Nobendu Mukerjee is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Cancer Research, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (18 papers), Computational Drug Discovery Methods (16 papers) and Leprosy Research and Treatment (12 papers). The work is most often cited by research in Cancer Research (179 citations), Complementary and alternative medicine (72 citations) and Computational Theory and Mathematics (135 citations). Nobendu Mukerjee has collaborated with scholars based in India, Saudi Arabia and Bangladesh. Frequent co-authors include Arabinda Ghosh, Nanasaheb D. Thorat, Swastika Maitra, Dattatreya Mukherjee, Αθανάσιος Αλεξίου, Sagnik Nag, Sukhamoy Gorai, Krishnan Anand, Rajib Dhar and Arikketh Devi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food 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.