Akshit Goyal
Impact in
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
-
- Evolution and Genetic Dynamics
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 7
- Genomics and Phylogenetic Studies 5
- Gut microbiota and health 3
- Photosynthetic Processes and Mechanisms 2
- Genetics 10
- Evolution and Genetic Dynamics 9
- Co-authors
- Sergei Maslov (6 shared papers)Veronika Dubinkina (4 shared papers)Jeff Gore (4 shared papers)Hyunseok Lee (3 shared papers)Martina Dal Bello (2 shared papers)Tong Wang (3 shared papers)Sivan Pearl Mizrahi (2 shared papers)Xiaoyu Shan (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature Communications (3 papers)Nature Ecology & Evolution (3 papers)The ISME Journal (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesIndiaRussia
In The Last Decade
Akshit Goyal
21 papers receiving 505 citations
Peers
Comparison fields: 5 of 84
- Ecology 158
- Genetics 132
- Molecular Biology 258
- Pollution 28
- Sociology and Political Science 95
Countries citing papers authored by Akshit Goyal
This map shows the geographic impact of Akshit Goyal'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 Akshit Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshit Goyal more than expected).
Fields of papers citing papers by Akshit Goyal
This network shows the impact of papers produced by Akshit Goyal. 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 Akshit Goyal. The network helps show where Akshit Goyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Akshit Goyal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 126 | |
| 2 | 2021 | 60 | |
| 3 | 2018 | 59 | |
| 4 | 2019 | 38 | |
| 5 | 2018 | 38 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 26 | |
| 8 | 2021 | 25 | |
| 9 | 2018 | 25 | |
| 10 | 2017 | 24 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Akshit Goyal
Akshit Goyal is a scholar working on Molecular Biology, Genetics, Ecology, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 25 papers that have together received 507 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (9 papers), Microbial Community Ecology and Physiology (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Evolutionary Game Theory and Cooperation (7 papers), Genomics and Phylogenetic Studies (5 papers), Gut microbiota and health (3 papers), Photosynthetic Processes and Mechanisms (2 papers) and Ecosystem dynamics and resilience (2 papers). The work is most often cited by research in Ecology (158 citations), Genetics (132 citations), Molecular Biology (258 citations), Pollution (28 citations) and Sociology and Political Science (95 citations). Akshit Goyal has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Sergei Maslov, Veronika Dubinkina, Jeff Gore, Hyunseok Lee, Martina Dal Bello, Tong Wang, Sivan Pearl Mizrahi, Xiaoyu Shan, Yulia Fridman and Otto X. Cordero. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Nature Ecology & Evolution, The ISME Journal and PLoS Computational Biology.
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.