Arghya Das

60 total papers · 740 total citations
35 papers, 471 citations indexed

About

Arghya Das is a scholar working on Infectious Diseases, Molecular Medicine and Epidemiology. According to data from OpenAlex, Arghya Das has authored 35 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 12 papers in Molecular Medicine and 11 papers in Epidemiology. Recurrent topics in Arghya Das's work include Antibiotic Resistance in Bacteria (12 papers), Urinary Tract Infections Management (5 papers) and Vibrio bacteria research studies (4 papers). Arghya Das is often cited by papers focused on Antibiotic Resistance in Bacteria (12 papers), Urinary Tract Infections Management (5 papers) and Vibrio bacteria research studies (4 papers). Arghya Das collaborates with scholars based in India, Malaysia and Myanmar. Arghya Das's co-authors include Sangita Mukhopadhyay, Tuhina Banerjee, Pradyot Prakash, Suresh Narayanan, B. Singh, Swati Sharma, Asma Ahmed, Ghanshyam Yadav, Aparna Srikantam and Khalid Hussain Bhat and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of the New York Academy of Sciences.

In The Last Decade

Arghya Das

30 papers receiving 460 citations

Author Peers

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

Author						Papers	Cites
Arghya Das	149	119	109	89	70	35	471
Muhammad A. Halwani	98 0.7×	88 0.7×	110 1.0×	99 1.1×	22 0.3×	32	409
Meera Sharma	143 1.0×	113 0.9×	77 0.7×	84 0.9×	59 0.8×	16	407
Masayuki Nigo	157 1.1×	165 1.4×	36 0.3×	158 1.8×	39 0.6×	38	486
James Miller	57 0.4×	51 0.4×	144 1.3×	56 0.6×	16 0.2×	24	501
Dawn Terashita	184 1.2×	161 1.4×	64 0.6×	106 1.2×	41 0.6×	44	552
Min Hyuk Choi	98 0.7×	144 1.2×	61 0.6×	138 1.6×	35 0.5×	33	444
Kelvin Hei‐Yeung Chiu	225 1.5×	98 0.8×	50 0.5×	27 0.3×	39 0.6×	30	457
Nachiket Patel	47 0.3×	52 0.4×	197 1.8×	54 0.6×	37 0.5×	32	508
Ding-Yun Feng	64 0.4×	128 1.1×	102 0.9×	91 1.0×	11 0.2×	32	526
Huifen Ye	171 1.1×	76 0.6×	210 1.9×	203 2.3×	24 0.3×	26	503

Countries citing papers authored by Arghya Das

Since Specialization

Citations

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

Fields of papers citing papers by Arghya Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arghya Das

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