Shivakumar Keerthikumar
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA modifications and cancer
Papers in
-
- MicroRNA in disease regulation 4
- Cancer Genomics and Diagnostics 4
- Aging 1
- Co-authors
- Suresh MathivananLahiru GangodaMohashin PathanChing‐Seng AngMonisha SamuelSushma AnandDavid ChisangaMarkandeya Jois
- Journals
- PROTEOMICS (6 papers)Bioinformatics (2 papers)Cancer Biology & Therapy (2 papers)Oncotarget (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Shivakumar Keerthikumar
45 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cancer Research 1.4k
- Molecular Biology 3.0k
- Immunology and Allergy 157
- Immunology 500
- Spectroscopy 200
Countries citing papers authored by Shivakumar Keerthikumar
This map shows the geographic impact of Shivakumar Keerthikumar'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 Shivakumar Keerthikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shivakumar Keerthikumar more than expected).
Fields of papers citing papers by Shivakumar Keerthikumar
This network shows the impact of papers produced by Shivakumar Keerthikumar. 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 Shivakumar Keerthikumar. The network helps show where Shivakumar Keerthikumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shivakumar Keerthikumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 6 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 58 | |
| 5 | 2019 | 107 | |
| 6 | 2018 | 2 | |
| 7 | 2016 | 18 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 55 | |
| 10 | 2016 | 189 | |
| 11 | 2016 | 14 | |
| 12 | 2016 | 70 | |
| 13 | ExoCarta: A Web-Based Compendium of Exosomal Cargo Hit paper breakdown → | 2015 | 1117 |
| 14 | 2015 | 43 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 16 | |
| 17 | 2013 | 28 | |
| 18 | 2010 | 25 | |
| 19 | 2009 | 19 | |
| 20 | 2009 | 94 |
About Shivakumar Keerthikumar
Shivakumar Keerthikumar is a scholar working on Cancer Research, Aging, Molecular Biology, Spectroscopy and Immunology, having authored 46 papers that have together received 4.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (9 papers), Advanced Proteomics Techniques and Applications (7 papers), Bioinformatics and Genomic Networks (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Prostate Cancer Treatment and Research (5 papers), MicroRNA in disease regulation (4 papers), Cancer Genomics and Diagnostics (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (3.0k citations), Immunology and Allergy (157 citations), Immunology (500 citations) and Spectroscopy (200 citations). Shivakumar Keerthikumar has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Suresh Mathivanan, Lahiru Gangoda, Mohashin Pathan, Ching‐Seng Ang, Monisha Samuel, Sushma Anand, David Chisanga, Markandeya Jois, Haidar Al Saffar and Kening Zhao. Their work appears in journals such as PROTEOMICS, Bioinformatics, Cancer Biology & Therapy, Oncotarget and Nucleic Acids Research.
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.