Brajesh Kumar Jha
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions 12
- Molecular Medicine top 10%
- Pharmacology top 5%
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- Neuroscience and Neuropharmacology Research 17
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- Lipid Membrane Structure and Behavior 13
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- Surfactants and Colloidal Systems 9
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- Computational Drug Discovery Methods 8
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- Alzheimer's disease research and treatments 8
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- Analytical Chemistry and Chromatography 7
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- Agricultural Economics and Practices 6
- Co-authors
- Hardik JoshiNeeru AdlakhaMehmet YavuzD. O. ShahSurendra K. SharmaA. PatistRohit SinglaVishnubhatla Sreenivas
- Partner nations
- IndiaNepalUnited States
In The Last Decade
Brajesh Kumar Jha
90 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 149
- Modeling and Simulation 279
- Applied Microbiology and Biotechnology 26
- Molecular Medicine 62
- Pharmacology 88
- Cellular and Molecular Neuroscience 173
Countries citing papers authored by Brajesh Kumar Jha
This map shows the geographic impact of Brajesh Kumar Jha'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 Brajesh Kumar Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brajesh Kumar Jha more than expected).
Fields of papers citing papers by Brajesh Kumar Jha
This network shows the impact of papers produced by Brajesh Kumar Jha. 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 Brajesh Kumar Jha. The network helps show where Brajesh Kumar Jha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brajesh Kumar Jha, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 50 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 6 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 3 | |
| 15 | Status of Prolactin and Thyroid Hormone Level among Primary Infertility Patients Visiting Tertiary Care Hospital, Nepal | 2019 | 1 |
| 16 | Litchi production, marketing and processing in Bihar and India. | 2018 | 2 |
| 17 | 2016 | 38 | |
| 18 | Evaluation of risk factors for antituberculosis treatment induced hepatotoxicity. | 2010 | 94 |
| 19 | Effect of EFPTT/09, a herbal formulation, on blood sugar of normal and alloxan induced diabetic rats. | 2010 | 2 |
| 20 | 2000 | 16 |
About Brajesh Kumar Jha
Brajesh Kumar Jha is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Cellular and Molecular Neuroscience, having authored 101 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Lipid Membrane Structure and Behavior (13 papers), Fractional Differential Equations Solutions (12 papers), Surfactants and Colloidal Systems (9 papers), Computational Drug Discovery Methods (8 papers), Alzheimer's disease research and treatments (8 papers), Analytical Chemistry and Chromatography (7 papers) and Agricultural Economics and Practices (6 papers). The work is most often cited by research in Modeling and Simulation (279 citations), Applied Microbiology and Biotechnology (26 citations) and Molecular Medicine (62 citations). Brajesh Kumar Jha has collaborated with scholars based in India, Nepal and United States. Frequent co-authors include Hardik Joshi, Neeru Adlakha, Mehmet Yavuz, D. O. Shah, Surendra K. Sharma, A. Patist, Rohit Singla, Vishnubhatla Sreenivas, Stuart Townley and Krister Holmberg.
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.