Nasim A. Begum
- Immunology top 2%
- Molecular Biology top 10%
- Epidemiology top 10%
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Tasuku HonjoHitoshi NagaokaReiko ShinkuraMasamichi MuramatsuAndre StanlieMisako MatsumotoTsukasa SeyaMikiyo Nakata
- Topics
- T-cell and B-cell Immunology (27 papers)Immune Cell Function and Interaction (16 papers)DNA Repair Mechanisms (14 papers)
- Cited by
- ImmunologyVirologyMolecular Biology
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Nasim A. Begum
81 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 108
- Immunology 1.4k
- Molecular Biology 1.2k
- Epidemiology 464
- Oncology 455
- Cancer Research 163
Countries citing papers authored by Nasim A. Begum
This map shows the geographic impact of Nasim A. Begum'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 Nasim A. Begum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nasim A. Begum more than expected).
Fields of papers citing papers by Nasim A. Begum
This network shows the impact of papers produced by Nasim A. Begum. 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 Nasim A. Begum. The network helps show where Nasim A. Begum may publish in the future.
Co-authorship network of co-authors of Nasim A. Begum
This figure shows the co-authorship network connecting the top 25 collaborators of Nasim A. Begum. A scholar is included among the top collaborators of Nasim A. Begum 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 Nasim A. Begum. Nasim A. Begum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 20 | |
| 4 | 12 | |
| 5 | 16 | |
| 6 | Role of Serum Follicle Stimulating Hormone, Luteinizing Hormone, Testosterone and Prolactin Levels in Azoospermic Male Partner of Subfertile Couple. | 3 |
| 7 | Biochemical and serological characterization of Ralstonia solanacearum associated with chilli seeds from Pakistan. | 37 |
| 8 | 21 | |
| 9 | STATUS OF BACTERIAL WILT CAUSED BY RALSTONIA SOLANACEARUM IN PAKISTAN | 24 |
| 10 | 26 | |
| 11 | 100 | |
| 12 | 11 | |
| 13 | 10 | |
| 14 | 60 | |
| 15 | 91 | |
| 16 | 14 | |
| 17 | 106 | |
| 18 | 86 | |
| 19 | 58 | |
| 20 | 24 |
About Nasim A. Begum
Nasim A. Begum is a scholar working on Immunology, Molecular Biology and Epidemiology, having authored 83 papers that have together received 2.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (16 papers) and DNA Repair Mechanisms (14 papers). The work is most often cited by research in Immunology (1.4k citations), Virology (93 citations) and Molecular Biology (1.2k citations). Nasim A. Begum has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Tasuku Honjo, Hitoshi Nagaoka, Reiko Shinkura, Masamichi Muramatsu, Andre Stanlie, Misako Matsumoto, Tsukasa Seya, Mikiyo Nakata, Kumao Toyoshima and Satomi Ito. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.