Shalini Iyer

34 total papers · 1.0k total citations
24 papers, 757 citations indexed

About

Shalini Iyer is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Shalini Iyer has authored 24 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Neurology. Recurrent topics in Shalini Iyer's work include Angiogenesis and VEGF in Cancer (7 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Signaling Pathways in Disease (3 papers). Shalini Iyer is often cited by papers focused on Angiogenesis and VEGF in Cancer (7 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Signaling Pathways in Disease (3 papers). Shalini Iyer collaborates with scholars based in United Kingdom, United States and India. Shalini Iyer's co-authors include K. Ravi Acharya, Vasanta Subramanian, Keith Brew, Robert Visse, Hideaki Nagase, M. Graziella Persico, Shuo Wei, Nethaji Thiyagarajan, Stephen H. Prior and Robert Shapiro and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Shalini Iyer

23 papers receiving 743 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shalini Iyer 476 179 179 96 86 24 757
M C S Armelin 554 1.2× 181 1.0× 125 0.7× 59 0.6× 32 0.4× 23 800
Roland Meier 502 1.1× 293 1.6× 181 1.0× 164 1.7× 43 0.5× 26 866
Cornelia Grimmel 555 1.2× 160 0.9× 109 0.6× 39 0.4× 90 1.0× 16 776
Jieyi Wang 439 0.9× 290 1.6× 342 1.9× 44 0.5× 70 0.8× 28 845
Harry S. N. Greene 226 0.5× 214 1.2× 103 0.6× 27 0.3× 89 1.0× 35 799
Amir Ben‐Shmuel 506 1.1× 337 1.9× 147 0.8× 40 0.4× 42 0.5× 28 890
Paz Moreno-Murciano 466 1.0× 82 0.5× 172 1.0× 41 0.4× 51 0.6× 16 718
Niranjan Yanamandra 439 0.9× 263 1.5× 265 1.5× 32 0.3× 76 0.9× 28 815
Tone Berge 471 1.0× 136 0.8× 120 0.7× 60 0.6× 24 0.3× 34 827
George D.J. Green 244 0.5× 121 0.7× 195 1.1× 32 0.3× 45 0.5× 11 623

Countries citing papers authored by Shalini Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Shalini Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalini Iyer

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

All Works

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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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