Harikrishna Paik
- Cancer Research top 10%
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- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 5
- Biomedical Text Mining and Ontologies 4
- Biophysics top 10%
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- Antenna Design and Analysis 16
- Advanced Antenna and Metasurface Technologies 10
- Antenna Design and Optimization 7
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- Microwave Engineering and Waveguides 6
- Energy Harvesting in Wireless Networks 4
- Co-authors
- Atul J. ButteMarina SirotaBoris OskotskyDvir AranRoman CamardaJustin I. OdegaardGregor KringsAndrei Goga
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (2 papers)Bioinformatics (1 paper)
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Harikrishna Paik
35 papers receiving 772 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cancer Research 172
- Computational Theory and Mathematics 132
- Molecular Biology 451
- Oncology 144
- Biophysics 24
Countries citing papers authored by Harikrishna Paik
This map shows the geographic impact of Harikrishna Paik'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 Harikrishna Paik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harikrishna Paik more than expected).
Fields of papers citing papers by Harikrishna Paik
This network shows the impact of papers produced by Harikrishna Paik. 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 Harikrishna Paik. The network helps show where Harikrishna Paik may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Harikrishna Paik, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 24 | |
| 11 | 2018 | 1 | |
| 12 | 2017 | 140 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 29 | |
| 15 | Comprehensive analysis of normal adjacent to tumor transcriptomesbreakdown → | 2017 | 375 |
| 16 | 2015 | 47 | |
| 17 | 2014 | 23 | |
| 18 | 2014 | 12 | |
| 19 | 2012 | 2 | |
| 20 | 2011 | 7 |
About Harikrishna Paik
Harikrishna Paik is a scholar working on Aerospace Engineering, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 37 papers that have together received 788 indexed citations. Recurring topics across this work include Antenna Design and Analysis (16 papers), Advanced Antenna and Metasurface Technologies (10 papers), Bioinformatics and Genomic Networks (9 papers), Antenna Design and Optimization (7 papers), Microwave Engineering and Waveguides (6 papers), Gene expression and cancer classification (5 papers), Energy Harvesting in Wireless Networks (4 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Cancer Research (172 citations), Computational Theory and Mathematics (132 citations) and Molecular Biology (451 citations). Harikrishna Paik has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Atul J. Butte, Marina Sirota, Boris Oskotsky, Dvir Aran, Roman Camarda, Justin I. Odegaard, Gregor Krings, Andrei Goga, Bin Chen and Wei Wei. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.