Dayalan G. Srinivasan

967 citations
9 papers · 762 indexed · h-index 7
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms 2
  • Cell Biology top 10%
    • Plant Reproductive Biology 2
    • Developmental Biology and Gene Regulation 2
    • Cell death mechanisms and regulation 1
    • CRISPR and Genetic Engineering 1
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
    • Insect symbiosis and bacterial influences 2
    • Insect-Plant Interactions and Control 2

Dayalan G. Srinivasan

9 papers receiving 759 citations

Peers

Dayalan G. Srinivasan
Comparison fields: 5 of 92
  • Aging 143
  • Cell Biology 174
  • Molecular Biology 465
  • Genetics 158
  • Insect Science 63
Replace Ki‐Hyeon Seong with:
Ki‐Hyeon Seong Japan
Donghui Yang‐Zhou United States
Martha J. Lundell United States
Bruno Hudry France
Jian-Quan Ni United States
Renjie Jiao China
L. Sian Gramates United States
Peizhang Xu United States
Ingrid Lohmann Germany
Garson Tsang United States
Dayalan G. Srinivasan relative to Ki‐Hyeon Seong Japan Ki‐Hyeon Seong's profile →
Citations per field
00.5×1.5×1.9×
Ki‐Hyeon Seong · 1×
Citations per year

Countries citing papers authored by Dayalan G. Srinivasan

Since Specialization
Citations

This map shows the geographic impact of Dayalan G. Srinivasan'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 Dayalan G. Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayalan G. Srinivasan more than expected).

Fields of papers citing papers by Dayalan G. Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dayalan G. Srinivasan. 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 Dayalan G. Srinivasan. The network helps show where Dayalan G. Srinivasan may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Dayalan G. Srinivasan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dayalan G. Srinivasan Line = papers co-authored together Dayalan G. Srinivasan links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20152
2 201414
3 201256
4 200944
5 20081
6 200718
7 2007234
8 2003194
9 1996199

About Dayalan G. Srinivasan

Dayalan G. Srinivasan is a scholar working on Aging, Insect Science and Molecular Biology, having authored 9 papers that have together received 762 indexed citations. Recurring topics across this work include Insect symbiosis and bacterial influences (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Plant Reproductive Biology (2 papers), Insect-Plant Interactions and Control (2 papers), Developmental Biology and Gene Regulation (2 papers), Cell death mechanisms and regulation (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Aging (143 citations), Cell Biology (174 citations) and Molecular Biology (465 citations). Dayalan G. Srinivasan has collaborated with scholars based in United States, Netherlands and Ireland. Frequent co-authors include Sander van den Heuvel, Huihong Xu, David L. Stern, Jennifer Zanet, François Payre, Alistair P. McGregor, Virginie Courtier‐Orgogozo, Isabelle Delon, Jennifer A. Brisson and J. Carl Barrett. Their work appears in journals such as Nature, Genes & Development and SHILAP Revista de lepidopterología.

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.

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