Anurag Payasi

60 total papers · 938 total citations
46 papers, 723 citations indexed

About

Anurag Payasi is a scholar working on Molecular Medicine, Pharmacology and Molecular Biology. According to data from OpenAlex, Anurag Payasi has authored 46 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Medicine, 17 papers in Pharmacology and 15 papers in Molecular Biology. Recurrent topics in Anurag Payasi's work include Antibiotic Resistance in Bacteria (21 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). Anurag Payasi is often cited by papers focused on Antibiotic Resistance in Bacteria (21 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). Anurag Payasi collaborates with scholars based in India, United States and Brazil. Anurag Payasi's co-authors include G.G. Sanwal, Nagendra N. Mishra, Randhir Singh, Manu Chaudhary, Ana Lúcia Soares Chaves, Neeraj Sharma, Tulika Prasad, Rajendra Prasad, Dwijendra K. Gupta and P C Misra and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Phytochemistry and Plant Physiology and Biochemistry.

In The Last Decade

Anurag Payasi

39 papers receiving 637 citations

Author Peers

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

Author						Papers	Cites
Anurag Payasi	416	179	115	98	81	46	723
Zoltán Gazdag	186 0.4×	254 1.4×	134 1.2×	98 1.0×	67 0.8×	39	761
Husam Qanash	184 0.4×	200 1.1×	171 1.5×	61 0.6×	99 1.2×	56	863
Diogo Teixeira Carvalho	244 0.6×	218 1.2×	108 0.9×	101 1.0×	64 0.8×	70	848
Jiyu Zhang	178 0.4×	257 1.4×	156 1.4×	153 1.6×	68 0.8×	52	767
Maria Silvana Alves	302 0.7×	284 1.6×	218 1.9×	47 0.5×	55 0.7×	48	825
Lígia Carla Faccin‐Galhardi	248 0.6×	201 1.1×	108 0.9×	93 0.9×	74 0.9×	41	836
Akhilesh Kumar Yadav	182 0.4×	251 1.4×	73 0.6×	80 0.8×	56 0.7×	67	890
Fouad Mellouki	337 0.8×	247 1.4×	228 2.0×	91 0.9×	48 0.6×	50	825
Mohammad S. Ahmad	241 0.6×	253 1.4×	111 1.0×	41 0.4×	42 0.5×	50	766
Eliana Harue Endo	278 0.7×	162 0.9×	315 2.7×	86 0.9×	63 0.8×	26	833

Countries citing papers authored by Anurag Payasi

Since Specialization

Citations

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

Fields of papers citing papers by Anurag Payasi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Payasi

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