Subash Adhikari
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
- Advanced biosensing and bioanalysis techniques 2
- Ubiquitin and proteasome pathways 1
- Glycosylation and Glycoproteins Research 1
- Gene expression and cancer classification 1
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- Advanced Proteomics Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 4
- Co-authors
- Ruijun Tian (3 shared papers)Pengyuan Yang (2 shared papers)Wendong Chen (2 shared papers)Shuai Wang (1 shared paper)Mi Ke (1 shared paper)Lingjue Wang (1 shared paper)Seong Beom Ahn (5 shared papers)Mark S. Baker (4 shared papers)
- Journals
- PROTEOMICS (2 papers)Journal of Proteome Research (2 papers)Neuroreport (1 paper)Clinical Proteomics (1 paper)Journal of Chromatography A (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Subash Adhikari
12 papers receiving 266 citations
Peers
Comparison fields: 5 of 60
- Spectroscopy 136
- Biological Psychiatry 8
- Molecular Biology 155
- Cancer Research 27
- Oncology 34
Countries citing papers authored by Subash Adhikari
This map shows the geographic impact of Subash Adhikari'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 Subash Adhikari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subash Adhikari more than expected).
Fields of papers citing papers by Subash Adhikari
This network shows the impact of papers produced by Subash Adhikari. 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 Subash Adhikari. The network helps show where Subash Adhikari may publish in the future.
Co-authors
The 25 scholars most cited alongside Subash Adhikari, 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 | 2016 | 111 | |
| 2 | 2019 | 60 | |
| 3 | 2017 | 24 | |
| 4 | 2015 | 14 | |
| 5 | 2019 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2023 | 11 | |
| 8 | 2019 | 9 | |
| 9 | 2017 | 7 | |
| 10 | 2013 | 6 | |
| 11 | 2018 | 1 | |
| 12 | 2024 | 1 |
About Subash Adhikari
Subash Adhikari is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Biomedical Engineering and Surgery, having authored 12 papers that have together received 267 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Ubiquitin and proteasome pathways (1 paper), Glycosylation and Glycoproteins Research (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Spectroscopy (136 citations), Biological Psychiatry (8 citations), Molecular Biology (155 citations), Cancer Research (27 citations) and Oncology (34 citations). Subash Adhikari has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Ruijun Tian, Pengyuan Yang, Wendong Chen, Shuai Wang, Mi Ke, Lingjue Wang, Seong Beom Ahn, Mark S. Baker, Samridhi Sharma and Dana Pascovici. Their work appears in journals such as PROTEOMICS, Journal of Proteome Research, Neuroreport, Clinical Proteomics and Journal of Chromatography A.
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.