Ram Shankar Barai
- Microbiology top 0.2%
- Antimicrobial Peptides and Activities 5
- Molecular Biology top 10%
- Biochemical and Structural Characterization 4
- Machine Learning in Bioinformatics 3
- vaccines and immunoinformatics approaches 2
- Biotechnology top 10%
- Food Science top 10%
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- Ovarian function and disorders 2
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- Reproductive Biology and Fertility 2
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- Computational Drug Discovery Methods 2
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- Genomics and Rare Diseases 1
- Co-authors
- Susan Idicula‐ThomasFaiza Hanif WaghuPratima GurungVaidyanathan JayaramanShreyas KarnikPranay RamtekeBilal NizamiSheeba Jacob
- Partner nations
- IndiaUnited States
In The Last Decade
Ram Shankar Barai
17 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Microbiology 1.0k
- Molecular Biology 1.1k
- Immunology 169
- Biotechnology 69
- Food Science 142
Countries citing papers authored by Ram Shankar Barai
This map shows the geographic impact of Ram Shankar Barai'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 Ram Shankar Barai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Shankar Barai more than expected).
Fields of papers citing papers by Ram Shankar Barai
This network shows the impact of papers produced by Ram Shankar Barai. 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 Ram Shankar Barai. The network helps show where Ram Shankar Barai may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Ram Shankar Barai, 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 | 2024 | 2 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 3 | |
| 4 | CAMPR4: a database of natural and synthetic antimicrobial peptidesbreakdown → | 2022 | 144 |
| 5 | 2021 | 2 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 17 | |
| 9 | 2016 | 16 | |
| 10 | 2016 | 9 | |
| 11 | 2016 | 29 | |
| 12 | CAMPR3: a database on sequences, structures and signatures of antimicrobial peptides: Table 1.breakdown → | 2015 | 536 |
| 13 | 2015 | 42 | |
| 14 | 2014 | 33 | |
| 15 | 2013 | 219 | |
| 16 | 2010 | 2 | |
| 17 | 2009 | 355 |
About Ram Shankar Barai
Ram Shankar Barai is a scholar working on Microbiology, Reproductive Medicine and Molecular Biology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (5 papers), Biochemical and Structural Characterization (4 papers), Machine Learning in Bioinformatics (3 papers), Ovarian function and disorders (2 papers), Reproductive Biology and Fertility (2 papers), Computational Drug Discovery Methods (2 papers), vaccines and immunoinformatics approaches (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Microbiology (1.0k citations), Molecular Biology (1.1k citations) and Immunology (169 citations). Ram Shankar Barai has collaborated with scholars based in India and United States. Frequent co-authors include Susan Idicula‐Thomas, Faiza Hanif Waghu, Pratima Gurung, Vaidyanathan Jayaraman, Shreyas Karnik, Pranay Ramteke, Bilal Nizami, Sheeba Jacob, Geetanjali Sachdeva and Sumeet U. Nayak. Their work appears in journals such as Nucleic Acids Research, Blood and Bioinformatics.
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.