Saurav Guha

73 total papers · 2.1k total citations
29 papers, 719 citations indexed

About

Saurav Guha is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Saurav Guha has authored 29 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 13 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Saurav Guha's work include Genetic Associations and Epidemiology (6 papers), Genetic diversity and population structure (5 papers) and Congenital heart defects research (4 papers). Saurav Guha is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genetic diversity and population structure (5 papers) and Congenital heart defects research (4 papers). Saurav Guha collaborates with scholars based in United States, India and Israel. Saurav Guha's co-authors include V.K. Kashyap, R. Trivedi, Surendra Prakash Goyal, Todd Lencz, Wendy K. Chung, Ariel Darvasi, Prodipto Pal, Ranjan Deka, Charles A. LeDuc and Anil K. Malhotra and has published in prestigious journals such as Journal of Neuroscience, Human Molecular Genetics and Progress in Neurobiology.

In The Last Decade

Saurav Guha

28 papers receiving 697 citations

Author Peers

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

Author Last Decade Papers Cites
Saurav Guha 329 320 94 88 58 29 719
Marc Vía 502 1.5× 198 0.6× 65 0.7× 117 1.3× 28 0.5× 48 845
Kay MacDermot 260 0.8× 206 0.6× 98 1.0× 119 1.4× 77 1.3× 13 621
Ayumi Matsumoto 153 0.5× 219 0.7× 38 0.4× 50 0.6× 75 1.3× 61 721
Jean‐François Deleuze 193 0.6× 408 1.3× 75 0.8× 78 0.9× 23 0.4× 26 735
Annalisa Buniello 348 1.1× 367 1.1× 33 0.4× 44 0.5× 71 1.2× 20 900
Ľudevít Kádaši 155 0.5× 446 1.4× 42 0.4× 52 0.6× 23 0.4× 57 808
Esther Janson 299 0.9× 551 1.7× 62 0.7× 60 0.7× 24 0.4× 11 815
Linda Hasadsri 309 0.9× 369 1.2× 49 0.5× 83 0.9× 16 0.3× 38 886
Raza‐Ur Rahman 112 0.3× 442 1.4× 22 0.2× 39 0.4× 35 0.6× 33 829
Rebecca F. Halperin 146 0.4× 336 1.1× 28 0.3× 43 0.5× 104 1.8× 26 844

Countries citing papers authored by Saurav Guha

Since Specialization
Citations

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

Fields of papers citing papers by Saurav Guha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurav Guha

This figure shows the co-authorship network connecting the top 25 collaborators of Saurav Guha. A scholar is included among the top collaborators of Saurav Guha 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 Saurav Guha. Saurav Guha 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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