Shubham Saini

18 total papers · 584 total citations
6 papers, 245 citations indexed

About

Shubham Saini is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shubham Saini has authored 6 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Shubham Saini's work include RNA Research and Splicing (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Genetic Associations and Epidemiology (1 paper). Shubham Saini is often cited by papers focused on RNA Research and Splicing (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Genetic Associations and Epidemiology (1 paper). Shubham Saini collaborates with scholars based in United States, India and Peru. Shubham Saini's co-authors include Melissa Gymrek, Stephanie Feudjio Feupe, Jonathan Margoliash, Alon Goren, Sharona Shleizer-Burko, Nima Mousavi, Ileena Mitra, Orit Poulsen, Gabriel G. Haddad and Dan Zhou and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Shubham Saini

5 papers receiving 242 citations

Author Peers

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

Author Last Decade Papers Cites
Shubham Saini 164 147 70 21 19 6 245
Tudevdagva Gerelsaikhan 167 1.0× 124 0.8× 40 0.6× 14 0.7× 12 0.6× 9 301
Emily Tuttle 208 1.3× 112 0.8× 42 0.6× 8 0.4× 28 1.5× 10 313
Talia Litmanovitch 197 1.2× 130 0.9× 37 0.5× 29 1.4× 28 1.5× 11 294
Nickolas K. Skamangas 194 1.2× 60 0.4× 115 1.6× 6 0.3× 10 0.5× 8 304
Colin P. Florian 247 1.5× 58 0.4× 32 0.5× 18 0.9× 6 0.3× 6 296
Pierre Ougen 158 1.0× 91 0.6× 51 0.7× 39 1.9× 6 0.3× 7 237
Rossella Delle Donne 205 1.3× 67 0.5× 29 0.4× 5 0.2× 20 1.1× 9 267
Roel Hermsen 114 0.7× 128 0.9× 18 0.3× 22 1.0× 24 1.3× 6 278
Colleen Kelley 236 1.4× 42 0.3× 67 1.0× 36 1.7× 8 0.4× 5 320
Romina Inès Cervigni 181 1.1× 55 0.4× 51 0.7× 12 0.6× 4 0.2× 8 321

Countries citing papers authored by Shubham Saini

Since Specialization
Citations

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

Fields of papers citing papers by Shubham Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubham Saini

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