Payal Mitra

14 total papers · 468 total citations
8 papers, 64 citations indexed

About

Payal Mitra is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Payal Mitra has authored 8 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Epidemiology. Recurrent topics in Payal Mitra's work include Biomedical Text Mining and Ontologies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Bioinformatics and Genomic Networks (2 papers). Payal Mitra is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Bioinformatics and Genomic Networks (2 papers). Payal Mitra collaborates with scholars based in United States, Singapore and Netherlands. Payal Mitra's co-authors include Thirumaran Thanabalu, Hui Tan, Huai-Chin Chiang, Bogang Wu, Yanfen Hu, Bin Yuan, Rong Li, Tyler J. Curiel, Xiujie Sun and Rong Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

In The Last Decade

Payal Mitra

7 papers receiving 64 citations

Author Peers

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

Author						Papers	Cites
Payal Mitra	45	16	14	13	7	8	64
Christina Brummer	38 0.8×	25 1.6×	10 0.7×	19 1.5×	11 1.6×	8	81
Jiyuan Zhu	29 0.6×	19 1.2×	11 0.8×	11 0.8×	6 0.9×	6	58
Lu Huang	35 0.8×	24 1.5×	16 1.1×	14 1.1×	5 0.7×	9	75
ShaoNing Yang	46 1.0×	23 1.4×	15 1.1×	12 0.9×	6 0.9×	8	86
Shuqun Zhang	30 0.7×	25 1.6×	8 0.6×	10 0.8×	7 1.0×	9	66
Andrew R. Patterson	28 0.6×	16 1.0×	25 1.8×	8 0.6×	4 0.6×	6	59
Astrid Petersmann	32 0.7×	7 0.4×	7 0.5×	11 0.8×	7 1.0×	9	65
Gareth Hughes	39 0.9×	18 1.1×	6 0.4×	21 1.6×	3 0.4×	5	58
Zulan Pi	72 1.6×	15 0.9×	34 2.4×	18 1.4×	5 0.7×	10	216
Seonggon Kim	38 0.8×	9 0.6×	9 0.6×	11 0.8×	12 1.7×	8	61

Countries citing papers authored by Payal Mitra

Since Specialization

Citations

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

Fields of papers citing papers by Payal Mitra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Mitra

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