Amar Deep
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
-
- RNA and protein synthesis mechanisms 3
- Photosynthetic Processes and Mechanisms 2
- CRISPR and Genetic Engineering 2
- Genetics 8
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Kevin D. Corbett (10 shared papers)Krishan Gopal Thakur (6 shared papers)Ramandeep Singh (6 shared papers)Sakshi Agarwal (5 shared papers)Saqib Kidwai (4 shared papers)Yajie Gu (3 shared papers)Eray Enüstün (4 shared papers)Joe Pogliano (3 shared papers)
- Journals
- Molecular Cell (3 papers)Nature Structural & Molecular Biology (2 papers)Nature (2 papers)The Journal of Cell Biology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Amar Deep
17 papers receiving 403 citations
Peers
Comparison fields: 5 of 64
- Molecular Medicine 57
- Endocrinology 38
- Infectious Diseases 120
- Ecology 157
- Structural Biology 7
Countries citing papers authored by Amar Deep
This map shows the geographic impact of Amar 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 Amar Deep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amar Deep more than expected).
Fields of papers citing papers by Amar Deep
This network shows the impact of papers produced by Amar 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 Amar Deep. The network helps show where Amar Deep may publish in the future.
Co-authors
The 25 scholars most cited alongside Amar 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 68 | |
| 2 | 2022 | 63 | |
| 3 | 2018 | 40 | |
| 4 | 2018 | 37 | |
| 5 | 2020 | 33 | |
| 6 | 2017 | 32 | |
| 7 | 2024 | 26 | |
| 8 | 2017 | 21 | |
| 9 | 2024 | 20 | |
| 10 | 2020 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2024 | 11 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 0 |
About Amar Deep
Amar Deep is a scholar working on Molecular Biology, Genetics, Ecology, Infectious Diseases and Epidemiology, having authored 18 papers that have together received 403 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (6 papers), Antibiotic Resistance in Bacteria (4 papers), Tuberculosis Research and Epidemiology (3 papers), RNA and protein synthesis mechanisms (3 papers), Photosynthetic Processes and Mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Molecular Medicine (57 citations), Endocrinology (38 citations), Infectious Diseases (120 citations), Ecology (157 citations) and Structural Biology (7 citations). Amar Deep has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Kevin D. Corbett, Krishan Gopal Thakur, Ramandeep Singh, Sakshi Agarwal, Saqib Kidwai, Yajie Gu, Eray Enüstün, Joe Pogliano, Mark A. Herzik and Kaori M. Ego. Their work appears in journals such as Molecular Cell, Nature Structural & Molecular Biology, Nature, The Journal of Cell Biology and Nucleic Acids Research.
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.