Madhavi Sekharam
- Geriatrics and Gerontology top 5%
- Oncology top 10%
- Cancer-related Molecular Pathways 4
- Cytokine Signaling Pathways and Interactions 3
- Toxicology top 10%
- Biochemistry top 10%
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- PI3K/AKT/mTOR signaling in cancer 3
- Protein Kinase Regulation and GTPase Signaling 2
- Sphingolipid Metabolism and Signaling 2
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- Cancer Research and Treatments 2
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- Reproductive System and Pregnancy 2
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- Growth Hormone and Insulin-like Growth Factors 2
- Co-authors
- Richard JoveJie WuJames TurksonJess M. CunnickAnnette R. KhaledAntonis S. ZervosLucia CilentiKhandaker Siddiquee
- Journals
- Molecular Cancer Therapeutics (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Biochemical Journal (2 papers)
- Partner nations
- United States
In The Last Decade
Madhavi Sekharam
14 papers receiving 768 citations
Peers
Comparison fields: 5 of 81
- Geriatrics and Gerontology 64
- Oncology 328
- Toxicology 28
- Cancer Research 112
- Biochemistry 41
Countries citing papers authored by Madhavi Sekharam
This map shows the geographic impact of Madhavi Sekharam'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 Madhavi Sekharam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhavi Sekharam more than expected).
Fields of papers citing papers by Madhavi Sekharam
This network shows the impact of papers produced by Madhavi Sekharam. 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 Madhavi Sekharam. The network helps show where Madhavi Sekharam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Madhavi Sekharam, 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 | 2008 | 33 | |
| 2 | 2006 | 1 | |
| 3 | 2006 | 239 | |
| 4 | 2006 | 15 | |
| 5 | 2005 | 1 | |
| 6 | Insulin-like growth factor 1 receptor activates c-SRC and modifies transformation and motility of colon cancer in vitro. | 2003 | 35 |
| 7 | Insulin-like growth factor 1 receptor enhances invasion and induces resistance to apoptosis of colon cancer cells through the Akt/Bcl-x(L) pathway. | 2003 | 93 |
| 8 | 2003 | 15 | |
| 9 | 2000 | 20 | |
| 10 | 2000 | 32 | |
| 11 | 1999 | 226 | |
| 12 | 1998 | 65 | |
| 13 | 1995 | 1 | |
| 14 | 1991 | 13 |
About Madhavi Sekharam
Madhavi Sekharam is a scholar working on Geriatrics and Gerontology, Biotechnology and Oncology, having authored 14 papers that have together received 789 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer Research and Treatments (2 papers), Reproductive System and Pregnancy (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Geriatrics and Gerontology (64 citations), Oncology (328 citations) and Toxicology (28 citations). Madhavi Sekharam has collaborated with scholars based in United States. Frequent co-authors include Richard Jove, Jie Wu, James Turkson, Jess M. Cunnick, Annette R. Khaled, Antonis S. Zervos, Lucia Cilenti, Khandaker Siddiquee, Domenico Coppola and Jalila Adnane. Their work appears in journals such as Molecular Cancer Therapeutics, International Journal of Radiation Oncology*Biology*Physics, Biochemical Journal, Journal of Clinical Oncology 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.