Rohit Tyagi
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
-
- Tuberculosis Research and Epidemiology 5
- Surgery 4
- Co-authors
- Dan Yu (1 shared paper)Sangeeta Bhaskar (1 shared paper)Pawan Kumar (1 shared paper)Yuanliang Hu (1 shared paper)Jianjun Hou (1 shared paper)Gobardhan Das (1 shared paper)Yunxiang Liang (1 shared paper)Yongmei Hu (1 shared paper)
- Journals
- Current Issues in Molecular Biology (3 papers)Scientific Reports (1 paper)British Journal of Anaesthesia (1 paper)Immunology (1 paper)Immunologic Research (1 paper)
- Partner nations
- IndiaChinaUnited States
In The Last Decade
Rohit Tyagi
25 papers receiving 277 citations
Peers
Comparison fields: 5 of 89
- Biotechnology 60
- Anesthesiology and Pain Medicine 18
- Equine 4
- Aging 4
- Infectious Diseases 42
Countries citing papers authored by Rohit Tyagi
This map shows the geographic impact of Rohit Tyagi'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 Rohit Tyagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Tyagi more than expected).
Fields of papers citing papers by Rohit Tyagi
This network shows the impact of papers produced by Rohit Tyagi. 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 Rohit Tyagi. The network helps show where Rohit Tyagi may publish in the future.
Co-authors
The 25 scholars most cited alongside Rohit Tyagi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 71 | |
| 2 | 2006 | 40 | |
| 3 | 2014 | 38 | |
| 4 | 2017 | 16 | |
| 5 | 2021 | 15 | |
| 6 | 2015 | 14 | |
| 7 | 2020 | 11 | |
| 8 | 2005 | 10 | |
| 9 | 2017 | 10 | |
| 10 | 2014 | 10 | |
| 11 | 2006 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2021 | 7 | |
| 15 | Comparison of ML classifiers for Image Data | 2020 | 5 |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About Rohit Tyagi
Rohit Tyagi is a scholar working on Infectious Diseases, Surgery, Molecular Biology, Artificial Intelligence and Immunology, having authored 28 papers that have together received 288 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), CRISPR and Genetic Engineering (3 papers), Advanced Malware Detection Techniques (3 papers), Network Security and Intrusion Detection (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Pediatric Pain Management Techniques (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Biotechnology (60 citations), Anesthesiology and Pain Medicine (18 citations), Equine (4 citations), Aging (4 citations) and Infectious Diseases (42 citations). Rohit Tyagi has collaborated with scholars based in India, China and United States. Frequent co-authors include Dan Yu, Sangeeta Bhaskar, Pawan Kumar, Yuanliang Hu, Jianjun Hou, Gobardhan Das, Yunxiang Liang, Yongmei Hu, Anoop Raj Gogia and B. S. Manoj. Their work appears in journals such as Current Issues in Molecular Biology, Scientific Reports, British Journal of Anaesthesia, Immunology and Immunologic 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.