Mayetri Gupta

45 total papers · 724 total citations
24 papers, 456 citations indexed

About

Mayetri Gupta is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Mayetri Gupta has authored 24 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Artificial Intelligence. Recurrent topics in Mayetri Gupta's work include Genomics and Chromatin Dynamics (8 papers), Gene expression and cancer classification (8 papers) and Bayesian Methods and Mixture Models (5 papers). Mayetri Gupta is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), Gene expression and cancer classification (8 papers) and Bayesian Methods and Mixture Models (5 papers). Mayetri Gupta collaborates with scholars based in United States, United Kingdom and Australia. Mayetri Gupta's co-authors include Jun S. Liu, Joseph G. Ibrahim, Hideki Fujii, Hiroshi Kono, Akira Maki, Tetsuya Suzuki, Masanori Matsuda, Ivan Rusyn, Masami Asakawa and L. Adrienne Cupples and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Blood.

In The Last Decade

Mayetri Gupta

20 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Mayetri Gupta	276	59	59	57	51	24	456
Lorenz Adlung	240 0.9×	21 0.4×	47 0.8×	57 1.0×	23 0.5×	15	446
Jinyoung Byun	188 0.7×	66 1.1×	73 1.2×	6 0.1×	65 1.3×	37	411
Xi Long	251 0.9×	44 0.7×	44 0.7×	9 0.2×	105 2.1×	31	436
Tamio Fukushima	169 0.6×	28 0.5×	20 0.3×	6 0.1×	107 2.1×	29	447
Hiroyoshi Toyoshiba	226 0.8×	12 0.2×	39 0.7×	15 0.3×	84 1.6×	20	549
Yue Fan	245 0.9×	25 0.4×	35 0.6×	54 0.9×	70 1.4×	35	467
Serena G. Liao	243 0.9×	24 0.4×	57 1.0×	47 0.8×	125 2.5×	19	520
Katerina Kypreou	157 0.6×	54 0.9×	39 0.7×	9 0.2×	44 0.9×	24	413
Dieter Maier	341 1.2×	21 0.4×	56 0.9×	31 0.5×	50 1.0×	12	521
Xianbin Su	339 1.2×	41 0.7×	28 0.5×	19 0.3×	89 1.7×	37	520

Countries citing papers authored by Mayetri Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Mayetri Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayetri Gupta

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