Sankaranarayanan Kannan
- Rehabilitation top 2%
- Exercise and Physiological Responses 4
- Aging top 10%
- Molecular Biology top 10%
- Genomics, phytochemicals, and oxidative stress 5
- Histone Deacetylase Inhibitors Research 3
- Glycosylation and Glycoproteins Research 2
- Physiology top 10%
- Adipose Tissue and Metabolism 3
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- Acute Myeloid Leukemia Research 3
- Chronic Myeloid Leukemia Treatments 3
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- Galectins and Cancer Biology 2
- Co-authors
- Namakkal S. RajasekaranJohn R. HoidalSellamuthu S. GounderAnil K. JaiswalChristopher J. DavidsonMatthew A. FirpoLi WangPatrick A. Zweidler‐McKay
- Cited by
- RehabilitationAgingMolecular Biology
- Journals
- Journal of Biological Chemistry (1 paper)The Journal of Experimental Medicine (1 paper)Blood (5 papers)
- Partner nations
- United StatesIndiaBrazil
In The Last Decade
Sankaranarayanan Kannan
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Rehabilitation 183
- Aging 22
- Molecular Biology 792
- Physiology 262
- Complementary and alternative medicine 73
Countries citing papers authored by Sankaranarayanan Kannan
This map shows the geographic impact of Sankaranarayanan Kannan'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 Sankaranarayanan Kannan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sankaranarayanan Kannan more than expected).
Fields of papers citing papers by Sankaranarayanan Kannan
This network shows the impact of papers produced by Sankaranarayanan Kannan. 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 Sankaranarayanan Kannan. The network helps show where Sankaranarayanan Kannan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sankaranarayanan Kannan, 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 | 5 | |
| 2 | 2019 | 9 | |
| 3 | 2018 | 11 | |
| 4 | 2017 | 18 | |
| 5 | 2015 | 3 | |
| 6 | 2013 | 83 | |
| 7 | 2013 | 2 | |
| 8 | 2013 | 122 | |
| 9 | 2012 | 143 | |
| 10 | 2012 | 127 | |
| 11 | 2012 | 1 | |
| 12 | 2011 | 262 | |
| 13 | 2010 | 120 | |
| 14 | 2010 | 37 | |
| 15 | Targeting TRKA: Preclinical Evaluation of AZ23 in Acute Myeloid Leukemia | 2008 | 0 |
| 16 | 2008 | 1 | |
| 17 | 2004 | 93 | |
| 18 | 2003 | 16 | |
| 19 | 2000 | 11 | |
| 20 | 2000 | 14 |
About Sankaranarayanan Kannan
Sankaranarayanan Kannan is a scholar working on Rehabilitation, Hematology and Molecular Biology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (5 papers), Exercise and Physiological Responses (4 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Adipose Tissue and Metabolism (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Rehabilitation (183 citations), Aging (22 citations) and Molecular Biology (792 citations). Sankaranarayanan Kannan has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Namakkal S. Rajasekaran, John R. Hoidal, Sellamuthu S. Gounder, Anil K. Jaiswal, Christopher J. Davidson, Matthew A. Firpo, Li Wang, Patrick A. Zweidler‐McKay, Robert Paine and E. Dale Abel. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.
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.