M. C. Vaidya

31 total papers · 964 total citations
28 papers, 752 citations indexed

About

M. C. Vaidya is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, M. C. Vaidya has authored 28 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 10 papers in Epidemiology and 8 papers in Immunology. Recurrent topics in M. C. Vaidya's work include Leprosy Research and Treatment (10 papers), Mycobacterium research and diagnosis (6 papers) and Diabetes and associated disorders (6 papers). M. C. Vaidya is often cited by papers focused on Leprosy Research and Treatment (10 papers), Mycobacterium research and diagnosis (6 papers) and Diabetes and associated disorders (6 papers). M. C. Vaidya collaborates with scholars based in India, Netherlands and Czechia. M. C. Vaidya's co-authors include N. K. Mehra, NK Mehra, Veena Taneja, J N Pande, Narinder K. Mehra, J. J. van Rood, René R. P. de Vries, Willem van Eden, J. D‘Amaro and K. Srinath Reddy and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Diabetes.

In The Last Decade

M. C. Vaidya

28 papers receiving 684 citations

Author Peers

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

Author						Papers	Cites
M. C. Vaidya	348	287	269	163	121	28	752
Scott Hackett	256 0.7×	243 0.8×	210 0.8×	247 1.5×	51 0.4×	26	867
Paul Bastard	419 1.2×	299 1.0×	96 0.4×	55 0.3×	105 0.9×	39	816
Farideh Khosravi	103 0.3×	327 1.1×	142 0.5×	143 0.9×	64 0.5×	55	796
Licinio Contu	132 0.4×	303 1.1×	182 0.7×	43 0.3×	129 1.1×	29	859
Verena Wiegering	118 0.3×	160 0.6×	168 0.6×	137 0.8×	86 0.7×	59	800
Gary Toedter	154 0.4×	298 1.0×	187 0.7×	47 0.3×	138 1.1×	23	760
James M. Gulizia	120 0.3×	149 0.5×	317 1.2×	204 1.3×	90 0.7×	19	888
Charles R. Simrell	120 0.3×	130 0.5×	264 1.0×	161 1.0×	41 0.3×	17	764
G. Luzi	122 0.4×	433 1.5×	229 0.9×	109 0.7×	144 1.2×	52	865
Marta Zelazko	117 0.3×	389 1.4×	198 0.7×	79 0.5×	104 0.9×	32	685

Countries citing papers authored by M. C. Vaidya

Since Specialization

Citations

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

Fields of papers citing papers by M. C. Vaidya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. Vaidya. 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 M. C. Vaidya. The network helps show where M. C. Vaidya may publish in the future.

Co-authorship network of co-authors of M. C. Vaidya

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. Vaidya. A scholar is included among the top collaborators of M. C. Vaidya 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 M. C. Vaidya. M. C. Vaidya 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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