Payal Chirania

15 total papers · 596 total citations
7 papers, 101 citations indexed

About

Payal Chirania is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Payal Chirania has authored 7 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Biomedical Engineering. Recurrent topics in Payal Chirania's work include Bacterial Genetics and Biotechnology (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Biofuel production and bioconversion (2 papers). Payal Chirania is often cited by papers focused on Bacterial Genetics and Biotechnology (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Biofuel production and bioconversion (2 papers). Payal Chirania collaborates with scholars based in United States, Türkiye and Slovakia. Payal Chirania's co-authors include Robert L. Hettich, Richard J. Giannone, Yannick J. Bomble, Evert K. Holwerda, Jyoti Roy, Lee R. Lynd, Suresh Poudel, J. Christopher Ellis, Haidong Huang and Clifford J. Beall and has published in prestigious journals such as Nature Communications, Scientific Reports and Molecular Microbiology.

In The Last Decade

Payal Chirania

7 papers receiving 101 citations

Author Peers

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

Author						Papers	Cites
Payal Chirania	52	24	22	14	12	7	101
Elodie Guilhot	95 1.8×	10 0.4×	5 0.2×	18 1.3×	9 0.8×	8	131
Rianne C. Prins	60 1.2×	22 0.9×	9 0.4×	2 0.1×	6 0.5×	9	109
Albane Ruaud	163 3.1×	18 0.8×	6 0.3×	50 3.6×	19 1.6×	5	215
Mark Loftus	108 2.1×	6 0.3×	8 0.4×	13 0.9×	7 0.6×	11	225
Ian R. Humphreys	145 2.8×	4 0.2×	4 0.2×	12 0.9×	28 2.3×	9	216
Sanika Vaidya	138 2.7×	23 1.0×	34 1.5×	4 0.3×	50 4.2×	7	242
Stéphanie Diallo	138 2.7×	5 0.2×	9 0.4×	4 0.3×	19 1.6×	8	285
Coral Barcenilla	106 2.0×	4 0.2×	18 0.8×	4 0.3×	12 1.0×	9	222
Jimmy E. Becerra	56 1.1×	3 0.1×	3 0.1×	4 0.3×	5 0.4×	11	114
Taehun Park	83 1.6×	6 0.3×	3 0.1×	18 1.3×	8 0.7×	9	266

Countries citing papers authored by Payal Chirania

Since Specialization

Citations

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

Fields of papers citing papers by Payal Chirania

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Chirania

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