Shiv S. Prasad

37 total papers · 834 total citations
26 papers, 666 citations indexed

About

Shiv S. Prasad is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shiv S. Prasad has authored 26 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Plant Science and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shiv S. Prasad's work include Retinal Development and Disorders (7 papers), Retinal Diseases and Treatments (4 papers) and CRISPR and Genetic Engineering (4 papers). Shiv S. Prasad is often cited by papers focused on Retinal Development and Disorders (7 papers), Retinal Diseases and Treatments (4 papers) and CRISPR and Genetic Engineering (4 papers). Shiv S. Prasad collaborates with scholars based in Canada, India and United States. Shiv S. Prasad's co-authors include Max S. Cynader, Kaustav Aikat, Jing Cui, Joanne A. Matsubara, Marsha S. Russell, Khaliq Kurji, Tony Lin, David L. Baillie, Marco A. Marra and Yu Tian Wang and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shiv S. Prasad

25 papers receiving 650 citations

Author Peers

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

Author Last Decade Papers Cites
Shiv S. Prasad 304 152 126 103 99 26 666
Xin Xia 317 1.0× 146 1.0× 93 0.7× 41 0.4× 46 0.5× 24 582
Qian Cao 291 1.0× 70 0.5× 94 0.7× 22 0.2× 139 1.4× 43 596
Chintan Patel 262 0.9× 174 1.1× 79 0.6× 32 0.3× 83 0.8× 26 638
S. Lake 310 1.0× 141 0.9× 72 0.6× 37 0.4× 21 0.2× 28 650
Olga Lorena German 452 1.5× 224 1.5× 88 0.7× 17 0.2× 42 0.4× 23 671
Takafumi Yoshioka 223 0.7× 152 1.0× 71 0.6× 21 0.2× 34 0.3× 60 626
Yogita Dheer 360 1.2× 255 1.7× 73 0.6× 21 0.2× 99 1.0× 18 682
Vasanthy Vigneswara 318 1.0× 111 0.7× 90 0.7× 16 0.2× 27 0.3× 19 585
Yi Qu 279 0.9× 147 1.0× 66 0.5× 22 0.2× 46 0.5× 40 650
Margaret E. Maes 318 1.0× 126 0.8× 102 0.8× 12 0.1× 132 1.3× 18 575

Countries citing papers authored by Shiv S. Prasad

Since Specialization
Citations

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

Fields of papers citing papers by Shiv S. Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiv S. Prasad. 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 Shiv S. Prasad. The network helps show where Shiv S. Prasad may publish in the future.

Co-authorship network of co-authors of Shiv S. Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of Shiv S. Prasad. A scholar is included among the top collaborators of Shiv S. Prasad 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 Shiv S. Prasad. Shiv S. Prasad 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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