Sumit Siddharth
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Research top 10%
Papers in
- Oncology 20
- Cancer-related Molecular Pathways 5
- PARP inhibition in cancer therapy 4
- Cancer Cells and Metastasis 3
-
- Cancer therapeutics and mechanisms 5
- RNA Interference and Gene Delivery 4
- Wnt/β-catenin signaling in development and cancer 4
- Hedgehog Signaling Pathway Studies 4
- Co-authors
- Dipali Sharma (19 shared papers)Chanakya Nath Kundu (28 shared papers)Sheetal Parida (11 shared papers)Anmada Nayak (16 shared papers)Shakti Ranjan Satapathy (17 shared papers)Dipon Das (16 shared papers)Sarita Das (11 shared papers)Deepika Nayak (8 shared papers)
- Journals
- Cancers (6 papers)The International Journal of Biochemistry & Cell Biology (4 papers)Toxicology and Applied Pharmacology (3 papers)Scientific Reports (3 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- IndiaUnited StatesHungary
In The Last Decade
Sumit Siddharth
49 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 110
- Oncology 554
- Cancer Research 279
- Toxicology 61
- Molecular Biology 987
- Complementary and alternative medicine 96
Countries citing papers authored by Sumit Siddharth
This map shows the geographic impact of Sumit Siddharth'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 Sumit Siddharth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Siddharth more than expected).
Fields of papers citing papers by Sumit Siddharth
This network shows the impact of papers produced by Sumit Siddharth. 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 Sumit Siddharth. The network helps show where Sumit Siddharth may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Siddharth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 207 | |
| 2 | 2019 | 201 | |
| 3 | 2018 | 174 | |
| 4 | 2017 | 81 | |
| 5 | 2021 | 70 | |
| 6 | 2021 | 67 | |
| 7 | 2018 | 61 | |
| 8 | 2015 | 60 | |
| 9 | 2014 | 57 | |
| 10 | 2012 | 55 | |
| 11 | 2016 | 55 | |
| 12 | 2014 | 52 | |
| 13 | 2016 | 51 | |
| 14 | 2017 | 48 | |
| 15 | 2018 | 48 | |
| 16 | 2015 | 48 | |
| 17 | 2019 | 43 | |
| 18 | 2015 | 42 | |
| 19 | 2023 | 41 | |
| 20 | 2014 | 41 |
About Sumit Siddharth
Sumit Siddharth is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Complementary and alternative medicine, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Cancer therapeutics and mechanisms (5 papers), RNA Interference and Gene Delivery (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Hedgehog Signaling Pathway Studies (4 papers), PARP inhibition in cancer therapy (4 papers), MicroRNA in disease regulation (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Oncology (554 citations), Cancer Research (279 citations), Toxicology (61 citations), Molecular Biology (987 citations) and Complementary and alternative medicine (96 citations). Sumit Siddharth has collaborated with scholars based in India, United States and Hungary. Frequent co-authors include Dipali Sharma, Chanakya Nath Kundu, Sheetal Parida, Anmada Nayak, Shakti Ranjan Satapathy, Dipon Das, Sarita Das, Deepika Nayak, Purusottam Mohapatra and Nethaji Muniraj. Their work appears in journals such as Cancers, The International Journal of Biochemistry & Cell Biology, Toxicology and Applied Pharmacology, Scientific Reports and International Journal of Molecular Sciences.
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.