Sumanth Putta
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Renal and related cancers 4
- Circular RNAs in diseases 4
- Kruppel-like factors research 2
- Epigenetics and DNA Methylation 2
- TGF-β signaling in diseases 1
-
- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 6
- Co-authors
- Rama Natarajan (13 shared papers)Mitsuo Kato (11 shared papers)Linda Lanting (12 shared papers)Hang Yuan (4 shared papers)Guangdong Sun (2 shared papers)Mei Wang (3 shared papers)John J. Rossi (3 shared papers)Иван Тодоров (3 shared papers)
- Journals
- Diabetes (2 papers)Kidney International (2 papers)Journal of Biological Chemistry (2 papers)The FASEB Journal (2 papers)Nature Cell Biology (1 paper)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Sumanth Putta
13 papers receiving 1.9k citations
Sumanth Putta's Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 1.1k
- Nephrology 294
- Molecular Biology 1.4k
- Clinical Biochemistry 101
- Obstetrics and Gynecology 93
Countries citing papers authored by Sumanth Putta
This map shows the geographic impact of Sumanth Putta'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 Sumanth Putta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumanth Putta more than expected).
Fields of papers citing papers by Sumanth Putta
This network shows the impact of papers produced by Sumanth Putta. 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 Sumanth Putta. The network helps show where Sumanth Putta may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumanth Putta, 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 | TGF-β activates Akt kinase through a microRNA-dependent amplifying circuit targeting PTEN Hit paper breakdown → | 2009 | 501 |
| 2 | 2012 | 319 | |
| 3 | 2011 | 209 | |
| 4 | 2014 | 154 | |
| 5 | 2010 | 147 | |
| 6 | 2013 | 140 | |
| 7 | 2013 | 111 | |
| 8 | 2013 | 110 | |
| 9 | 2012 | 83 | |
| 10 | 2008 | 68 | |
| 11 | 2012 | 67 | |
| 12 | 2008 | 2 | |
| 13 | 2012 | 1 |
About Sumanth Putta
Sumanth Putta is a scholar working on Molecular Biology, Cancer Research, Obstetrics and Gynecology, Nephrology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (6 papers), Renal and related cancers (4 papers), Circular RNAs in diseases (4 papers), Kruppel-like factors research (2 papers), Epigenetics and DNA Methylation (2 papers), Pregnancy and preeclampsia studies (2 papers) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Cancer Research (1.1k citations), Nephrology (294 citations), Molecular Biology (1.4k citations), Clinical Biochemistry (101 citations) and Obstetrics and Gynecology (93 citations). Sumanth Putta has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Rama Natarajan, Mitsuo Kato, Linda Lanting, Hang Yuan, Guangdong Sun, Mei Wang, John J. Rossi, Иван Тодоров, Gregory Lawson and Mei Wang. Their work appears in journals such as Diabetes, Kidney International, Journal of Biological Chemistry, The FASEB Journal and Nature Cell Biology.
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.