Arjun K. Aditham
Impact in
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- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 3
- vaccines and immunoinformatics approaches 2
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- Ecology 2
- Bacteriophages and microbial interactions 2
- Co-authors
- Felipe Cava (3 shared papers)Carolyn R. Bertozzi (2 shared papers)M. Sloan Siegrist (1 shared paper)John C. Jewett (1 shared paper)Polly M. Fordyce (7 shared papers)Peter Suzuki (2 shared papers)Tyler C. Shimko (2 shared papers)Raluca Gordân (2 shared papers)
- Journals
- Cell Host & Microbe (2 papers)ACS Chemical Biology (1 paper)Cell Reports (1 paper)Cell Systems (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSwedenIsrael
In The Last Decade
Arjun K. Aditham
12 papers receiving 453 citations
Arjun K. Aditham's Hit Papers
Peers
Comparison fields: 5 of 69
- Molecular Biology 306
- Microbiology 27
- Molecular Medicine 19
- Biotechnology 34
- Genetics 98
Countries citing papers authored by Arjun K. Aditham
This map shows the geographic impact of Arjun K. Aditham'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 Arjun K. Aditham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun K. Aditham more than expected).
Fields of papers citing papers by Arjun K. Aditham
This network shows the impact of papers produced by Arjun K. Aditham. 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 Arjun K. Aditham. The network helps show where Arjun K. Aditham may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun K. Aditham, 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 | 2012 | 212 | |
| 2 | 2023 | 107 | |
| 3 | 2018 | 51 | |
| 4 | 2022 | 34 | |
| 5 | 2020 | 22 | |
| 6 | 2015 | 12 | |
| 7 | 2020 | 10 | |
| 8 | 2018 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2022 | 1 |
About Arjun K. Aditham
Arjun K. Aditham is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Organic Chemistry and Virology, having authored 12 papers that have together received 457 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (3 papers), vaccines and immunoinformatics approaches (2 papers), Bacteriophages and microbial interactions (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Molecular Biology (306 citations), Microbiology (27 citations), Molecular Medicine (19 citations), Biotechnology (34 citations) and Genetics (98 citations). Arjun K. Aditham has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include Felipe Cava, Carolyn R. Bertozzi, M. Sloan Siegrist, John C. Jewett, Polly M. Fordyce, Peter Suzuki, Tyler C. Shimko, Raluca Gordân, Yaron Orenstein and Nilay Shah. Their work appears in journals such as Cell Host & Microbe, ACS Chemical Biology, Cell Reports, Cell Systems and Proceedings of the National Academy of Sciences.
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.