Sudhakar Sahoo
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA modifications and cancer 7
-
- Cancer Genomics and Diagnostics 6
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Michela Garofalo (9 shared papers)Lei Shi (7 shared papers)Peter Magee (9 shared papers)Matteo Fassan (7 shared papers)Hui Sun Leong (10 shared papers)Caroline Dive (6 shared papers)Pabitra Pal Choudhury (8 shared papers)Katherine Walwyn-Brown (1 shared paper)
- Journals
- Cancer Research (3 papers)Nature Communications (2 papers)Cell Death and Differentiation (2 papers)International Journal of Bifurcation and Chaos (2 papers)Bioinformatics (2 papers)
- Partner nations
- United KingdomIndiaItaly
In The Last Decade
Sudhakar Sahoo
34 papers receiving 722 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 222
- Oncology 205
- Immunology 122
- Molecular Biology 370
- Hematology 49
Countries citing papers authored by Sudhakar Sahoo
This map shows the geographic impact of Sudhakar Sahoo'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 Sudhakar Sahoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudhakar Sahoo more than expected).
Fields of papers citing papers by Sudhakar Sahoo
This network shows the impact of papers produced by Sudhakar Sahoo. 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 Sudhakar Sahoo. The network helps show where Sudhakar Sahoo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sudhakar Sahoo, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 165 | |
| 2 | 2018 | 143 | |
| 3 | 2019 | 57 | |
| 4 | 2018 | 51 | |
| 5 | 2017 | 51 | |
| 6 | 2023 | 45 | |
| 7 | 2019 | 45 | |
| 8 | 2021 | 32 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2009 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2008 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2009 | 6 | |
| 19 | 2010 | 5 | |
| 20 | 2018 | 5 |
About Sudhakar Sahoo
Sudhakar Sahoo is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Oncology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 729 indexed citations. Recurring topics across this work include Cellular Automata and Applications (9 papers), RNA modifications and cancer (7 papers), Cancer Genomics and Diagnostics (6 papers), MicroRNA in disease regulation (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer-related molecular mechanisms research (4 papers), Algorithms and Data Compression (3 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Cancer Research (222 citations), Oncology (205 citations), Immunology (122 citations), Molecular Biology (370 citations) and Hematology (49 citations). Sudhakar Sahoo has collaborated with scholars based in United Kingdom, India and Italy. Frequent co-authors include Michela Garofalo, Lei Shi, Peter Magee, Matteo Fassan, Hui Sun Leong, Caroline Dive, Pabitra Pal Choudhury, Katherine Walwyn-Brown, Caetano Reis e Sousa and Shih‐Chieh Chiang. Their work appears in journals such as Cancer Research, Nature Communications, Cell Death and Differentiation, International Journal of Bifurcation and Chaos and Bioinformatics.
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.