Shubhada Chiplunkar
- Immunology top 5%
- Oncology top 5%
- Molecular Biology
- Epidemiology
- Cancer Research
- Co-authors
- Swati PatelM L ThomasStefan H. E. KaufmannSwati DharRajesh DikshitSudhir GuptaS GollapudiLeman Yel
- Topics
- Immune Cell Function and Interaction (24 papers)Immunotherapy and Immune Responses (18 papers)T-cell and B-cell Immunology (15 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyThe Lancet Oncology
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Shubhada Chiplunkar
80 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Immunology 817
- Oncology 476
- Molecular Biology 464
- Epidemiology 189
- Cancer Research 154
Countries citing papers authored by Shubhada Chiplunkar
This map shows the geographic impact of Shubhada Chiplunkar'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 Shubhada Chiplunkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubhada Chiplunkar more than expected).
Fields of papers citing papers by Shubhada Chiplunkar
This network shows the impact of papers produced by Shubhada Chiplunkar. 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 Shubhada Chiplunkar. The network helps show where Shubhada Chiplunkar may publish in the future.
Co-authorship network of co-authors of Shubhada Chiplunkar
This figure shows the co-authorship network connecting the top 25 collaborators of Shubhada Chiplunkar. A scholar is included among the top collaborators of Shubhada Chiplunkar 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 Shubhada Chiplunkar. Shubhada Chiplunkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | 63 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | Gamma delta T cell stimulatory activity of tea and Indian herb extracts. | 1 |
| 9 | 15 | |
| 10 | 35 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 11 | |
| 14 | 59 | |
| 15 | 30 | |
| 16 | 44 | |
| 17 | 34 | |
| 18 | 65 | |
| 19 | Immunoreactivity of mycobacterial strain ICRC and Mycobacterium leprae antigens with polyclonal and monoclonal antibodies. | 1 |
| 20 | Murine mammary tumor virus expression during mammary tumorigenesis in ICRC mice. | 1 |
About Shubhada Chiplunkar
Shubhada Chiplunkar is a scholar working on Immunology, Hematology and Oncology, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (24 papers), Immunotherapy and Immune Responses (18 papers) and T-cell and B-cell Immunology (15 papers). The work is most often cited by research in Immunology (817 citations), Oncology (476 citations) and Cancer Research (154 citations). Shubhada Chiplunkar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Swati Patel, M L Thomas, Stefan H. E. Kaufmann, Swati Dhar, Rajesh Dikshit, Sudhir Gupta, S Gollapudi, Leman Yel, Abdul R. Fakih and Mahesh Goel. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and The Lancet Oncology.
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.