Shashank Deep
Impact in
- Molecular Medicine top 10%
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Protein Structure and Dynamics 19
- Protein Interaction Studies and Fluorescence Analysis 12
- TGF-β signaling in diseases 7
- Physiology 17
- Alzheimer's disease research and treatments 14
- Co-authors
- J. C. Ahluwalia (4 shared papers)Shilpa Sharma (12 shared papers)Nidhi Kaur Bhatia (5 shared papers)Andrew P. Hinck (4 shared papers)Zhanyong Shu (2 shared papers)Cynthia S. Hinck (2 shared papers)Peter John Hart (1 shared paper)Alexander B. Taylor (1 shared paper)
- Journals
- Physical Chemistry Chemical Physics (7 papers)International Journal of Biological Macromolecules (6 papers)RSC Advances (4 papers)ACS Chemical Neuroscience (4 papers)Langmuir (4 papers)
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Shashank Deep
77 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Molecular Medicine 74
- Neurology 188
- Molecular Biology 841
- Filtration and Separation 24
- Immunology and Allergy 64
Countries citing papers authored by Shashank Deep
This map shows the geographic impact of Shashank Deep'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 Shashank Deep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashank Deep more than expected).
Fields of papers citing papers by Shashank Deep
This network shows the impact of papers produced by Shashank Deep. 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 Shashank Deep. The network helps show where Shashank Deep may publish in the future.
Co-authors
The 25 scholars most cited alongside Shashank Deep, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 190 | |
| 2 | 2001 | 186 | |
| 3 | 2015 | 116 | |
| 4 | 2017 | 95 | |
| 5 | 2016 | 85 | |
| 6 | 2020 | 57 | |
| 7 | 2009 | 43 | |
| 8 | 2022 | 37 | |
| 9 | 2010 | 36 | |
| 10 | 2013 | 35 | |
| 11 | 2021 | 35 | |
| 12 | 2014 | 34 | |
| 13 | 2018 | 32 | |
| 14 | 2020 | 31 | |
| 15 | 2020 | 29 | |
| 16 | 2017 | 27 | |
| 17 | 2022 | 26 | |
| 18 | 2014 | 26 | |
| 19 | 2005 | 25 | |
| 20 | 2003 | 25 |
About Shashank Deep
Shashank Deep is a scholar working on Molecular Biology, Physiology, Neurology, Clinical Biochemistry and Cell Biology, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), Alzheimer's disease research and treatments (14 papers), Protein Interaction Studies and Fluorescence Analysis (12 papers), Enzyme Structure and Function (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), TGF-β signaling in diseases (7 papers), Computational Drug Discovery Methods (7 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). The work is most often cited by research in Molecular Medicine (74 citations), Neurology (188 citations), Molecular Biology (841 citations), Filtration and Separation (24 citations) and Immunology and Allergy (64 citations). Shashank Deep has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include J. C. Ahluwalia, Shilpa Sharma, Nidhi Kaur Bhatia, Andrew P. Hinck, Zhanyong Shu, Cynthia S. Hinck, Peter John Hart, Alexander B. Taylor, Anurag Sharma and Shyam Kishor. Their work appears in journals such as Physical Chemistry Chemical Physics, International Journal of Biological Macromolecules, RSC Advances, ACS Chemical Neuroscience and Langmuir.
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.