Vivek Iyer
- Molecular Biology top 5%
- Genetics top 5%
- Cancer Research top 10%
- Immunology top 10%
- Oncology top 10%
- Co-authors
- William C. SkarnesMark ThomasBarry P. RosenAllan BradleyJessica SeverinJennifer HarrowA. Francis StewartAnthony P. West
- Topics
- CRISPR and Genetic Engineering (11 papers)Cancer Genomics and Diagnostics (6 papers)Epigenetics and DNA Methylation (5 papers)
- Partner nations
- United KingdomUnited StatesMexico
In The Last Decade
Vivek Iyer
30 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.1k
- Genetics 651
- Cancer Research 270
- Immunology 249
- Oncology 241
Countries citing papers authored by Vivek Iyer
This map shows the geographic impact of Vivek Iyer'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 Vivek Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Iyer more than expected).
Fields of papers citing papers by Vivek Iyer
This network shows the impact of papers produced by Vivek Iyer. 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 Vivek Iyer. The network helps show where Vivek Iyer may publish in the future.
Co-authorship network of co-authors of Vivek Iyer
This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Iyer. A scholar is included among the top collaborators of Vivek Iyer 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 Vivek Iyer. Vivek Iyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesisbreakdown → | 192 |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 84 | |
| 7 | 56 | |
| 8 | 6 | |
| 9 | 26 | |
| 10 | 12 | |
| 11 | 87 | |
| 12 | 72 | |
| 13 | 10 | |
| 14 | 46 | |
| 15 | 27 | |
| 16 | Efficient genome modification by CRISPR-Cas9 nickase with minimal off-target effectsbreakdown → | 641 |
| 17 | 24 | |
| 18 | A conditional knockout resource for the genome-wide study of mouse gene functionbreakdown → | 1208 |
| 19 | 6 | |
| 20 | 38 |
About Vivek Iyer
Vivek Iyer is a scholar working on Aging, Business and International Management and Cancer Research, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Cancer Genomics and Diagnostics (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Aging (135 citations), Business and International Management (100 citations) and Molecular Biology (2.1k citations). Vivek Iyer has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include William C. Skarnes, Mark Thomas, Barry P. Rosen, Allan Bradley, Jessica Severin, Jennifer Harrow, A. Francis Stewart, Anthony P. West, Alejandro O. Mujica and Pieter J. de Jong. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.
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.