Mukta Sharma

150 total papers · 2.1k total citations
83 papers, 1.0k citations indexed

About

Mukta Sharma is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mukta Sharma has authored 83 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 26 papers in Epidemiology and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mukta Sharma's work include HIV, Drug Use, Sexual Risk (15 papers), Tuberculosis Research and Epidemiology (12 papers) and HIV/AIDS Research and Interventions (12 papers). Mukta Sharma is often cited by papers focused on HIV, Drug Use, Sexual Risk (15 papers), Tuberculosis Research and Epidemiology (12 papers) and HIV/AIDS Research and Interventions (12 papers). Mukta Sharma collaborates with scholars based in United States, India and Canada. Mukta Sharma's co-authors include Vineet Bhatia, Bharat Bhushan Rewari, Edna Oppenheimer, Tobi Saidel, Renu Garg, Virginia Loo, Ricky N. Bluthenthal, Dave Burrows, Yaddanapudi Ravindranath and Alan S. Gamis and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Mukta Sharma

75 papers receiving 973 citations

Author Peers

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

Author						Papers	Cites
Mukta Sharma	387	358	196	183	131	83	1.0k
Guglielmo Dini	356 0.9×	253 0.7×	122 0.6×	161 0.9×	64 0.5×	67	1.1k
Atiene S. Sagay	317 0.8×	317 0.9×	158 0.8×	43 0.2×	116 0.9×	89	804
M Vial	295 0.8×	352 1.0×	133 0.7×	59 0.3×	219 1.7×	59	1.1k
Eshan U. Patel	462 1.2×	235 0.7×	159 0.8×	128 0.7×	101 0.8×	115	1.2k
Huong Thi Le	254 0.7×	162 0.5×	146 0.7×	88 0.5×	67 0.5×	75	1.2k
Mads Kamper‐Jørgensen	375 1.0×	119 0.3×	262 1.3×	76 0.4×	346 2.6×	53	1.2k
Elena Bozzola	355 0.9×	157 0.4×	65 0.3×	228 1.2×	112 0.9×	88	1.2k
Emmanuel Peprah	176 0.5×	168 0.5×	117 0.6×	70 0.4×	85 0.6×	55	941
Dhiraj Kumar Srivastava	258 0.7×	161 0.4×	172 0.9×	190 1.0×	138 1.1×	80	977
Sunil Gomber	169 0.4×	203 0.6×	185 0.9×	272 1.5×	164 1.3×	86	1.1k

Countries citing papers authored by Mukta Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Mukta Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukta Sharma

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