Surendra Dasari
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Nephrology top 1%
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 73
- Glycosylation and Glycoproteins Research 10
- Physiology 38
- Adipose Tissue and Metabolism 22
- Co-authors
- Jean‐Pierre Kocher (5 shared papers)Liguo Wang (3 shared papers)Hyun Jung Park (1 shared paper)Wei Li (1 shared paper)Shengqin Wang (1 shared paper)Angela Dispenzieri (59 shared papers)K. Sreekumaran Nair (22 shared papers)Srinivasa R. Nagalla (13 shared papers)
- Journals
- Journal of Proteome Research (25 papers)Blood (13 papers)Human Pathology (12 papers)Kidney International (9 papers)Amyloid (8 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Surendra Dasari
236 papers receiving 8.6k citations
Surendra Dasari's Hit Papers
Peers
Comparison fields: 5 of 154
- Cancer Research 1.2k
- Nephrology 509
- Molecular Biology 5.0k
- Physiology 1.5k
- Hematology 584
Countries citing papers authored by Surendra Dasari
This map shows the geographic impact of Surendra Dasari'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 Surendra Dasari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surendra Dasari more than expected).
Fields of papers citing papers by Surendra Dasari
This network shows the impact of papers produced by Surendra Dasari. 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 Surendra Dasari. The network helps show where Surendra Dasari may publish in the future.
Co-authors
The 25 scholars most cited alongside Surendra Dasari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 253 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CPAT: Coding-Potential Assessment Tool using an alignment-free logistic regression model Hit paper breakdown → | 2013 | 1435 |
| 2 | Enhanced Protein Translation Underlies Improved Metabolic and Physical Adaptations to Different Exercise Training Modes in Young and Old Humans Hit paper breakdown → | 2017 | 397 |
| 3 | 2009 | 281 | |
| 4 | 2006 | 253 | |
| 5 | 2009 | 231 | |
| 6 | 2012 | 192 | |
| 7 | 2018 | 167 | |
| 8 | 2016 | 156 | |
| 9 | 2014 | 146 | |
| 10 | 2020 | 132 | |
| 11 | 2017 | 130 | |
| 12 | 2016 | 129 | |
| 13 | 2014 | 126 | |
| 14 | 2016 | 120 | |
| 15 | 2004 | 113 | |
| 16 | 2007 | 110 | |
| 17 | 2016 | 109 | |
| 18 | 2019 | 109 | |
| 19 | 2007 | 107 | |
| 20 | 2005 | 106 |
About Surendra Dasari
Surendra Dasari is a scholar working on Molecular Biology, Physiology, Hematology, Oncology and Nephrology, having authored 253 papers that have together received 8.7k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (73 papers), Adipose Tissue and Metabolism (22 papers), Multiple Myeloma Research and Treatments (20 papers), Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (13 papers), Renal Diseases and Glomerulopathies (13 papers), Muscle metabolism and nutrition (13 papers) and Glycosylation and Glycoproteins Research (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Nephrology (509 citations), Molecular Biology (5.0k citations), Physiology (1.5k citations) and Hematology (584 citations). Surendra Dasari has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Jean‐Pierre Kocher, Liguo Wang, Hyun Jung Park, Wei Li, Shengqin Wang, Angela Dispenzieri, K. Sreekumaran Nair, Srinivasa R. Nagalla, Ian R. Lanza and Paul J. Kurtin. Their work appears in journals such as Journal of Proteome Research, Blood, Human Pathology, Kidney International and Amyloid.
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.