Prajwal Devkota
Impact in
- Communication top 10%
- Social Media and Politics
-
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 3
- Single-cell and spatial transcriptomics 1
- Machine Learning in Bioinformatics 1
- Virology 1
- HIV Research and Treatment 1
- Co-authors
- Stefan Wuchty (7 shared papers)Neil F. Johnson (1 shared paper)Nicholas J. Restrepo (1 shared paper)Pedro D. Manrique (1 shared paper)Nicolás Velásquez (1 shared paper)Rhys Leahy (1 shared paper)Minzhang Zheng (1 shared paper)Norman Goodacre (1 shared paper)
- Journals
- Scientific Reports (3 papers)SLAS DISCOVERY (1 paper)Nature (1 paper)Seminars in Cell and Developmental Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United States
In The Last Decade
Prajwal Devkota
7 papers receiving 220 citations
Peers
Comparison fields: 5 of 77
- Communication 48
- Developmental Neuroscience 26
- Neurology 22
- Statistical and Nonlinear Physics 29
- Artificial Intelligence 57
Countries citing papers authored by Prajwal Devkota
This map shows the geographic impact of Prajwal Devkota'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 Prajwal Devkota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prajwal Devkota more than expected).
Fields of papers citing papers by Prajwal Devkota
This network shows the impact of papers produced by Prajwal Devkota. 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 Prajwal Devkota. The network helps show where Prajwal Devkota may publish in the future.
Co-authors
The 25 scholars most cited alongside Prajwal Devkota, 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 | 2019 | 123 | |
| 2 | 2021 | 51 | |
| 3 | 2018 | 35 | |
| 4 | 2020 | 7 | |
| 5 | 2018 | 6 | |
| 6 | 2019 | 5 | |
| 7 | 2022 | 2 | |
| 8 | 2020 | 0 |
About Prajwal Devkota
Prajwal Devkota is a scholar working on Molecular Biology, Virology, Sociology and Political Science, Statistical and Nonlinear Physics and Epidemiology, having authored 8 papers that have together received 229 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene Regulatory Network Analysis (3 papers), Single-cell and spatial transcriptomics (1 paper), HIV Research and Treatment (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Machine Learning in Bioinformatics (1 paper), Computational Drug Discovery Methods (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Communication (48 citations), Developmental Neuroscience (26 citations), Neurology (22 citations), Statistical and Nonlinear Physics (29 citations) and Artificial Intelligence (57 citations). Prajwal Devkota has collaborated with scholars based in United States. Frequent co-authors include Stefan Wuchty, Neil F. Johnson, Nicholas J. Restrepo, Pedro D. Manrique, Nicolás Velásquez, Rhys Leahy, Minzhang Zheng, Norman Goodacre, Peter Uetz and Aniruddha M. Kaushik. Their work appears in journals such as Scientific Reports, SLAS DISCOVERY, Nature, Seminars in Cell and Developmental Biology and Nature Communications.
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.