Shibali Das

83 total papers · 1.5k total citations
29 papers, 492 citations indexed

About

Shibali Das is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Shibali Das has authored 29 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 16 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Shibali Das's work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (9 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Shibali Das is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (9 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Shibali Das collaborates with scholars based in United States, India and Canada. Shibali Das's co-authors include Subrata Majumdar, Shabaana A. Khader, Mushtaq Ahmed, Javier Rangel‐Moreno, Saikat Majumder, Kristin Griffiths, Nishith Kumar Pal, Maxim N. Artyomov, Sweta Ghosh and Kelly D. Moynihan and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Virology.

In The Last Decade

Shibali Das

27 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Shibali Das	237	223	186	112	70	29	492
Mark H. T. Stappers	213 0.9×	152 0.7×	113 0.6×	112 1.0×	31 0.4×	24	510
Sumudu Narayana	248 1.0×	135 0.6×	171 0.9×	146 1.3×	92 1.3×	19	549
Gayathriy Balamayooran	223 0.9×	104 0.5×	123 0.7×	124 1.1×	21 0.3×	19	529
Jyoti Batra	111 0.5×	128 0.6×	167 0.9×	206 1.8×	31 0.4×	32	485
Pierre‐Grégoire Coulon	251 1.1×	111 0.5×	163 0.9×	110 1.0×	38 0.5×	24	436
Yuichi Kodama	173 0.7×	53 0.2×	99 0.5×	61 0.5×	80 1.1×	49	458
Luydson Richardson Silva Vasconcelos	200 0.8×	83 0.4×	119 0.6×	105 0.9×	57 0.8×	62	482
Niraj Shrestha	152 0.6×	86 0.4×	94 0.5×	102 0.9×	22 0.3×	28	408
Silvia Lucena Lage	146 0.6×	106 0.5×	94 0.5×	233 2.1×	39 0.6×	18	463
Ieda Maria Longo‐Maugéri	227 1.0×	40 0.2×	142 0.8×	113 1.0×	108 1.5×	32	552

Countries citing papers authored by Shibali Das

Since Specialization

Citations

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

Fields of papers citing papers by Shibali Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibali Das

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