Dilip K. Banerjee

37 total papers · 847 total citations
24 papers, 278 citations indexed

About

Dilip K. Banerjee is a scholar working on Organic Chemistry, Health Information Management and Epidemiology. According to data from OpenAlex, Dilip K. Banerjee has authored 24 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 5 papers in Health Information Management and 5 papers in Epidemiology. Recurrent topics in Dilip K. Banerjee's work include Artificial Intelligence in Healthcare (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Metal complexes synthesis and properties (4 papers). Dilip K. Banerjee is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Metal complexes synthesis and properties (4 papers). Dilip K. Banerjee collaborates with scholars based in India and United Kingdom. Dilip K. Banerjee's co-authors include Philip D. Butcher, Irene M. Monahan, Joanna Betts, Anirban Das, Prasun Dutta, Bharvin K.R. Patel, Deepankar Sinha, Somenath Banerjee, Samiran Mitra and Sunil Kumar Gupta and has published in prestigious journals such as The Journal of Organic Chemistry, Journal of Antimicrobial Chemotherapy and Microbiology.

In The Last Decade

Dilip K. Banerjee

20 papers receiving 259 citations

Author Peers

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

Author						Papers	Cites
Dilip K. Banerjee	136	101	95	33	27	24	278
Anna Lucarelli	141 1.0×	96 1.0×	142 1.5×	28 0.8×	17 0.6×	18	256
Abhilash Mohan	152 1.1×	114 1.1×	150 1.6×	11 0.3×	25 0.9×	16	328
Ainhoa Palacios	121 0.9×	85 0.8×	165 1.7×	17 0.5×	27 1.0×	15	324
Joseph S. Redman	81 0.6×	56 0.6×	153 1.6×	29 0.9×	8 0.3×	11	301
Shenyan Zhang	61 0.4×	48 0.5×	95 1.0×	19 0.6×	17 0.6×	29	306
Mireille Kamariza	137 1.0×	127 1.3×	111 1.2×	63 1.9×	28 1.0×	12	300
Xin Wang	119 0.9×	67 0.7×	117 1.2×	49 1.5×	14 0.5×	13	230
Shanshan Sha	109 0.8×	81 0.8×	148 1.6×	18 0.5×	28 1.0×	29	285
Sandhya Srinivasan	46 0.3×	43 0.4×	110 1.2×	25 0.8×	13 0.5×	29	292
Joachim Pfister	135 1.0×	95 0.9×	73 0.8×	33 1.0×	29 1.1×	13	304

Countries citing papers authored by Dilip K. Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Dilip K. Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dilip K. Banerjee. 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 Dilip K. Banerjee. The network helps show where Dilip K. Banerjee may publish in the future.

Co-authorship network of co-authors of Dilip K. Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Dilip K. Banerjee. A scholar is included among the top collaborators of Dilip K. Banerjee 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 Dilip K. Banerjee. Dilip K. Banerjee 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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