Sunil Chada

7.3k citations
121 papers · 5.6k · h-index 45

Impact in

  • Biotechnology top 0.5%
    • Cancer Research and Treatments
  • Oncology top 0.5%
    • CAR-T cell therapy research
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Virus-based gene therapy research 63
    • CAR-T cell therapy research 23
    • Cytokine Signaling Pathways and Interactions 19
    • Cancer-related Molecular Pathways 17

Sunil Chada

120 papers receiving 5.5k citations

Peers

Sunil Chada
Comparison fields: 5 of 116
  • Biotechnology 900
  • Oncology 2.8k
  • Immunology 1.9k
  • Genetics 2.5k
  • Molecular Biology 2.4k
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Citations per field
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Citations per year

Countries citing papers authored by Sunil Chada

Since Specialization
Citations

This map shows the geographic impact of Sunil Chada'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 Sunil Chada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Chada more than expected).

Fields of papers citing papers by Sunil Chada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Chada. 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 Sunil Chada. The network helps show where Sunil Chada may publish in the future.

Co-authors

The 25 scholars most cited alongside Sunil Chada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunil Chada Line = papers co-authored together Sunil Chada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006328
2 2002218
3 2004166
4 2004165
5
Melanoma differentiation-associated gene 7/interleukin (IL)-24 is a novel ligand that regulates angiogenesis via the IL-22 receptor.
2003160
6 1996154
7 2003148
8
The anthelmintic drug mebendazole induces mitotic arrest and apoptosis by depolymerizing tubulin in non-small cell lung cancer cells.
2002145
9 2001143
10 2000133
11 2002127
12 2004111
13
Adenoviral transfer of the melanoma differentiation-associated gene 7 (mda7) induces apoptosis of lung cancer cells via up-regulation of the double-stranded RNA-dependent protein kinase (PKR).
2002110
14 1998101
15 200192
16 198690
17 200489
18 200487
19 200480
20 200378

About Sunil Chada

Sunil Chada is a scholar working on Genetics, Oncology, Molecular Biology, Immunology and Biotechnology, having authored 121 papers that have together received 5.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (63 papers), Cancer Research and Treatments (28 papers), CAR-T cell therapy research (23 papers), Cytokine Signaling Pathways and Interactions (19 papers), Cancer-related Molecular Pathways (17 papers), Immunotherapy and Immune Responses (16 papers), RNA Interference and Gene Delivery (16 papers) and Cell death mechanisms and regulation (9 papers). The work is most often cited by research in Biotechnology (900 citations), Oncology (2.8k citations), Immunology (1.9k citations), Genetics (2.5k citations) and Molecular Biology (2.4k citations). Sunil Chada has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Rajagopal Ramesh, Abner M. Mhashilkar, Elizabeth A. Grimm, Jack A. Roth, Sühendan Ekmekçioglu, Cynthia D. Branch, John B. Mumm, Nancy Poı̀ndexter, Kelly K. Hunt and Began Gopalan. Their work appears in journals such as Molecular Therapy, Cancer Gene Therapy, Journal of Clinical Oncology, Gene Therapy and Molecular Cancer Therapeutics.

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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