Shyam Gopalakrishnan
- Molecular Biology top 10%
- Genetics top 2%
- Ecology top 2%
- Ecological Modeling top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- M. Thomas P. GilbertThomas Sicheritz‐PonténMikkel‐Holger S. SindingOstaizka AizpuruaAntton AlberdiChristian CarøeNathan WalesKristine Bohmann
- Topics
- Genetic and phenotypic traits in livestock (16 papers)Genetic diversity and population structure (12 papers)Environmental DNA in Biodiversity Studies (9 papers)
- Cited by
- Ecological ModelingGeneticsEcology
- Partner nations
- DenmarkNorwayUnited Kingdom
In The Last Decade
Shyam Gopalakrishnan
64 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 945
- Genetics 895
- Ecology 710
- Ecological Modeling 276
- Ecology, Evolution, Behavior and Systematics 263
Countries citing papers authored by Shyam Gopalakrishnan
This map shows the geographic impact of Shyam Gopalakrishnan'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 Shyam Gopalakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shyam Gopalakrishnan more than expected).
Fields of papers citing papers by Shyam Gopalakrishnan
This network shows the impact of papers produced by Shyam Gopalakrishnan. 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 Shyam Gopalakrishnan. The network helps show where Shyam Gopalakrishnan may publish in the future.
Co-authorship network of co-authors of Shyam Gopalakrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Shyam Gopalakrishnan. A scholar is included among the top collaborators of Shyam Gopalakrishnan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shyam Gopalakrishnan. Shyam Gopalakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 41 | |
| 8 | 34 | |
| 9 | 8 | |
| 10 | 30 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 31 | |
| 14 | 34 | |
| 15 | 16 | |
| 16 | 31 | |
| 17 | 164 | |
| 18 | 59 | |
| 19 | Comparative performance of the BGISEQ-500 vs Illumina HiSeq2500 sequencing platforms for palaeogenomic sequencingbreakdown → | 248 |
| 20 | Biochemical factors associated in controlling fibre elongation in different cotton genotypes | 1 |
About Shyam Gopalakrishnan
Shyam Gopalakrishnan is a scholar working on Genetics, Aging and Ecology, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (16 papers), Genetic diversity and population structure (12 papers) and Environmental DNA in Biodiversity Studies (9 papers). The work is most often cited by research in Ecological Modeling (276 citations), Genetics (895 citations) and Ecology (710 citations). Shyam Gopalakrishnan has collaborated with scholars based in Denmark, Norway and United Kingdom. Frequent co-authors include M. Thomas P. Gilbert, Thomas Sicheritz‐Pontén, Mikkel‐Holger S. Sinding, Ostaizka Aizpurua, Antton Alberdi, Christian Carøe, Nathan Wales, Kristine Bohmann, Sarah S. T. Mak and Martin Nielsen. Their work appears in journals such as Science, Cell 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.