Kandavel Shanmugam
- Oncology top 5%
- Colorectal Cancer Treatments and Studies 10
- Cancer Immunotherapy and Biomarkers 7
- Colorectal Cancer Surgical Treatments 2
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 4
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer 11
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- Glycosylation and Glycoproteins Research 6
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- Monoclonal and Polyclonal Antibodies Research 3
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Sandra GendlerH. Uri SaragoviMark FeatherstoneAndrea MurányiIsabel RambaldiShalini SinghPinku MukherjeeMichael A. Hollingsworth
- Journals
- Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)Journal of Clinical Oncology (5 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Kandavel Shanmugam
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Oncology 509
- Cancer Research 179
- Pathology and Forensic Medicine 195
- Molecular Biology 629
- Immunology 152
Countries citing papers authored by Kandavel Shanmugam
This map shows the geographic impact of Kandavel Shanmugam'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 Kandavel Shanmugam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kandavel Shanmugam more than expected).
Fields of papers citing papers by Kandavel Shanmugam
This network shows the impact of papers produced by Kandavel Shanmugam. 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 Kandavel Shanmugam. The network helps show where Kandavel Shanmugam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kandavel Shanmugam, 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 | 2025 | 3 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 1 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 63 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 59 | |
| 11 | 2014 | 76 | |
| 12 | 2014 | 45 | |
| 13 | 2013 | 55 | |
| 14 | 2010 | 228 | |
| 15 | 2008 | 76 | |
| 16 | 2007 | 12 | |
| 17 | Tyrosines in the MUC1 cytoplasmic tail modulate oncogenic signaling pathways | 2005 | 2 |
| 18 | 2001 | 3 | |
| 19 | 1997 | 34 | |
| 20 | 1996 | 12 |
About Kandavel Shanmugam
Kandavel Shanmugam is a scholar working on Pathology and Forensic Medicine, Oncology and Cancer Research, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (11 papers), Colorectal Cancer Treatments and Studies (10 papers), Cancer Immunotherapy and Biomarkers (7 papers), Glycosylation and Glycoproteins Research (6 papers), Cancer Genomics and Diagnostics (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Oncology (509 citations), Cancer Research (179 citations) and Pathology and Forensic Medicine (195 citations). Kandavel Shanmugam has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sandra Gendler, H. Uri Saragovi, Mark Featherstone, Andrea Murányi, Isabel Rambaldi, Shalini Singh, Pinku Mukherjee, Michael A. Hollingsworth, Pankaj K. Singh and Ronald L. Cerny. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.
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.