Justin Jeyakani

1.9k total citations · 1 hit paper
12 papers, 1.0k citations indexed

About

Justin Jeyakani is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Justin Jeyakani has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Organic Chemistry. Recurrent topics in Justin Jeyakani's work include RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Justin Jeyakani is often cited by papers focused on RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Justin Jeyakani collaborates with scholars based in Singapore, India and Australia. Justin Jeyakani's co-authors include Guillaume Bourque, Pierre‐Étienne Jacques, Xinyi Lu, Galih Kunarso, Na‐Yu Chia, Huck‐Hui Ng, Yun-Shen Chan, Nagasuma Chandra, Desh Deepak Singh and Sinnakaruppan Mathavan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Oncogene.

In The Last Decade

Justin Jeyakani

12 papers receiving 1.0k citations

Hit Papers

Transposable elements have rewired the core regulatory ne... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Justin Jeyakani Singapore 10 925 494 160 90 81 12 1.0k
Haiyang Wu China 11 1.2k 1.3× 225 0.5× 178 1.1× 208 2.3× 66 0.8× 30 1.4k
Bethaney Vincent United States 7 812 0.9× 575 1.2× 171 1.1× 58 0.6× 60 0.7× 11 948
Laurent Théodore France 14 507 0.5× 125 0.3× 64 0.4× 50 0.6× 87 1.1× 20 710
Miriam L. Sharpe New Zealand 8 939 1.0× 96 0.2× 135 0.8× 67 0.7× 25 0.3× 9 1.0k
Jill M. Dowen United States 10 1.2k 1.3× 832 1.7× 195 1.2× 150 1.7× 56 0.7× 22 1.7k
M. Mitchell Smith United States 17 2.0k 2.1× 372 0.8× 136 0.8× 96 1.1× 53 0.7× 17 2.1k
Dylan Husmann United States 7 672 0.7× 263 0.5× 68 0.4× 45 0.5× 28 0.3× 7 818
G.P. Holmquist United States 14 819 0.9× 280 0.6× 271 1.7× 123 1.4× 14 0.2× 19 1.0k
Manuela Portoso France 8 1.5k 1.6× 274 0.6× 129 0.8× 226 2.5× 28 0.3× 8 1.6k

Countries citing papers authored by Justin Jeyakani

Since Specialization
Citations

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

Fields of papers citing papers by Justin Jeyakani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Jeyakani. 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 Justin Jeyakani. The network helps show where Justin Jeyakani may publish in the future.

Co-authorship network of co-authors of Justin Jeyakani

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Jeyakani. A scholar is included among the top collaborators of Justin Jeyakani 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 Justin Jeyakani. Justin Jeyakani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Goh, Falicia, Justin Jeyakani, Amaury Cazenave‐Gassiot, et al.. (2019). Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae. Scientific Reports. 9(1). 10482–10482. 10 indexed citations
3.
Chatterjee, Aniruddha, Malgorzata Lagisz, Euan J. Rodger, et al.. (2016). Sex differences in DNA methylation and expression in zebrafish brain: a test of an extended ‘male sex drive’ hypothesis. Gene. 590(2). 307–316. 27 indexed citations
4.
Greenald, David, Justin Jeyakani, Bernd Pelster, et al.. (2015). Genome-wide mapping of Hif-1α binding sites in zebrafish. BMC Genomics. 16(1). 923–923. 27 indexed citations
5.
Jeyakani, Justin, Guillaume Bourque, Frédéric Bard, et al.. (2015). Functional features of EVI1 and EVI1Δ324 isoforms of MECOM gene in genome-wide transcription regulation and oncogenicity. Oncogene. 35(18). 2311–2321. 17 indexed citations
6.
Jacques, Pierre‐Étienne, Justin Jeyakani, & Guillaume Bourque. (2013). The Majority of Primate-Specific Regulatory Sequences Are Derived from Transposable Elements. PLoS Genetics. 9(5). e1003504–e1003504. 229 indexed citations
7.
Bard-Chapeau, Emilie A., Justin Jeyakani, Chung Hoow Kok, et al.. (2012). Ecotopic viral integration site 1 (EVI1) regulates multiple cellular processes important for cancer and is a synergistic partner for FOS protein in invasive tumors. Proceedings of the National Academy of Sciences. 109(6). 2168–2173. 67 indexed citations
8.
Kunarso, Galih, Na‐Yu Chia, Justin Jeyakani, et al.. (2010). Transposable elements have rewired the core regulatory network of human embryonic stem cells. Nature Genetics. 42(7). 631–634. 557 indexed citations breakdown →
9.
Jeyakani, Justin, et al.. (2007). CancerLectinDB: a database of lectins relevant to cancer. Glycoconjugate Journal. 25(3). 191–198. 38 indexed citations
10.
Jeyakani, Justin, et al.. (2007). Perpetuation of immunological memory through common MHC-I binding modes of peptidomimic and antigenic peptides. Biochemical and Biophysical Research Communications. 364(2). 308–312. 1 indexed citations
11.
Singh, Desh Deepak & Justin Jeyakani. (2007). Scanning the Genome of Mycobacterium tuberculosis to Identify Potential Lectins. Protein and Peptide Letters. 14(7). 683–691. 10 indexed citations
12.
Chandra, Nagasuma, et al.. (2006). Lectindb: a plant lectin database. Glycobiology. 16(10). 938–946. 45 indexed citations

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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