Rushikesh Sable
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
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- Chemical Synthesis and Analysis
- Protein Hydrolysis and Bioactive Peptides
- Biochemical and Structural Characterization
Papers in
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- Chemical Synthesis and Analysis 4
- Biochemical and Structural Characterization 2
- Glycosylation and Glycoproteins Research 2
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Seetharama D. Jois (10 shared papers)Sitanshu S. Singh (4 shared papers)Ted J. Gauthier (4 shared papers)M. Graça H. Vicente (1 shared paper)David J. Craik (1 shared paper)Veena Taneja (2 shared papers)Thomas Durek (1 shared paper)Konstantin G. Kousoulas (2 shared papers)
- Journals
- Molecular Cancer Research (1 paper)European Journal of Medicinal Chemistry (1 paper)Journal of Peptide Science (1 paper)Oncotarget (1 paper)Biopolymers (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Rushikesh Sable
12 papers receiving 277 citations
Peers
Comparison fields: 5 of 66
- Microbiology 38
- Molecular Biology 183
- Biotechnology 21
- Radiology, Nuclear Medicine and Imaging 52
- Computational Theory and Mathematics 33
Countries citing papers authored by Rushikesh Sable
This map shows the geographic impact of Rushikesh Sable'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 Rushikesh Sable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rushikesh Sable more than expected).
Fields of papers citing papers by Rushikesh Sable
This network shows the impact of papers produced by Rushikesh Sable. 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 Rushikesh Sable. The network helps show where Rushikesh Sable may publish in the future.
Co-authors
The 25 scholars most cited alongside Rushikesh Sable, 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 | 2017 | 97 | |
| 2 | 2015 | 53 | |
| 3 | 2016 | 32 | |
| 4 | 2017 | 25 | |
| 5 | 2018 | 17 | |
| 6 | 2016 | 16 | |
| 7 | 2017 | 12 | |
| 8 | 2018 | 11 | |
| 9 | 2015 | 9 | |
| 10 | 2020 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2019 | 1 |
About Rushikesh Sable
Rushikesh Sable is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Microbiology and Immunology and Allergy, having authored 12 papers that have together received 279 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), HER2/EGFR in Cancer Research (4 papers), Chemical Synthesis and Analysis (4 papers), Peptidase Inhibition and Analysis (3 papers), Biochemical and Structural Characterization (2 papers), Cell Adhesion Molecules Research (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Microbiology (38 citations), Molecular Biology (183 citations), Biotechnology (21 citations), Radiology, Nuclear Medicine and Imaging (52 citations) and Computational Theory and Mathematics (33 citations). Rushikesh Sable has collaborated with scholars based in United States and Australia. Frequent co-authors include Seetharama D. Jois, Sitanshu S. Singh, Ted J. Gauthier, M. Graça H. Vicente, David J. Craik, Veena Taneja, Thomas Durek, Konstantin G. Kousoulas, Ameya Gokhale and Yu Liu. Their work appears in journals such as Molecular Cancer Research, European Journal of Medicinal Chemistry, Journal of Peptide Science, Oncotarget and Biopolymers.
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.