Sunil Chada

7.3k citations
121 papers · 5.6k indexed · h-index 45
  • Biotechnology top 0.5%
    • Cancer Research and Treatments 28
  • Oncology top 0.5%
    • CAR-T cell therapy research 23
    • Cytokine Signaling Pathways and Interactions 19
    • Cancer-related Molecular Pathways 17
  • Immunology top 1%
    • Immunotherapy and Immune Responses 16
  • Genetics top 0.5%
    • Virus-based gene therapy research 63
    • RNA Interference and Gene Delivery 16
    • Cell death mechanisms and regulation 9

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-authorship network

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
#Work
1 202118
2 200926
3 200817
4 200638
5 200617
6 200621
7 200566
8 200450
9 200417
10 200489
11 200439
12 200487
13
Negative association of melanoma differentiation-associated gene (mda-7) and inducible nitric oxide synthase (iNOS) in human melanoma: MDA-7 regulates iNOS expression in melanoma cells.
200338
14
Melanoma differentiation-associated gene 7/interleukin (IL)-24 is a novel ligand that regulates angiogenesis via the IL-22 receptor.
2003160
15 200326
16
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
17 2002218
18 199411
19 19922
20 199136

About Sunil Chada

Sunil Chada is a scholar working on Biotechnology, Genetics and Oncology, 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), RNA Interference and Gene Delivery (16 papers), Immunotherapy and Immune Responses (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) and Immunology (1.9k 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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