Shubhada Chiplunkar

2.2k total citations
81 papers, 1.6k citations indexed

About

Shubhada Chiplunkar is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Shubhada Chiplunkar has authored 81 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 24 papers in Molecular Biology and 19 papers in Oncology. Recurrent topics in Shubhada Chiplunkar's work include Immune Cell Function and Interaction (24 papers), Immunotherapy and Immune Responses (18 papers) and T-cell and B-cell Immunology (15 papers). Shubhada Chiplunkar is often cited by papers focused on Immune Cell Function and Interaction (24 papers), Immunotherapy and Immune Responses (18 papers) and T-cell and B-cell Immunology (15 papers). Shubhada Chiplunkar collaborates with scholars based in India, United States and Germany. Shubhada Chiplunkar's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and The Lancet Oncology.

In The Last Decade

Shubhada Chiplunkar

80 papers receiving 1.6k citations

Peers

Shubhada Chiplunkar
Comparison fields: 5 of 108
  • Immunology 817
  • Oncology 476
  • Molecular Biology 464
  • Epidemiology 189
  • Cancer Research 154
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Motoo Saito Japan
Wenji Piao United States
Pyeung-Hyeun Kim South Korea
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Anna Martner Sweden
Long Huang China
Yikun Yao China
Louis M. Renzetti United States
Soh Ha Chan Singapore
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Citations per field, relative to Shubhada Chiplunkar
Shubhada Chiplunkar · 1×
Citations per year, relative to Shubhada Chiplunkar
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Countries citing papers authored by Shubhada Chiplunkar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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