Kunal Shah

15 total papers · 520 total citations
9 papers, 307 citations indexed

About

Kunal Shah is a scholar working on Public Health, Environmental and Occupational Health, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kunal Shah has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Public Health, Environmental and Occupational Health, 2 papers in Plant Science and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Kunal Shah's work include Patient Dignity and Privacy (1 paper), Plant Physiology and Cultivation Studies (1 paper) and Retinal and Optic Conditions (1 paper). Kunal Shah is often cited by papers focused on Patient Dignity and Privacy (1 paper), Plant Physiology and Cultivation Studies (1 paper) and Retinal and Optic Conditions (1 paper). Kunal Shah collaborates with scholars based in India, United States and Singapore. Kunal Shah's co-authors include Jonathan Green, Pablo S. Magani, Gaby Maimon, Atsuko Adachi, Martin S. Lipsky, Mark Johnson, Robert Bales, M. Nawal Lutfiyya and Apurva Jain and has published in prestigious journals such as Nature, Rural and Remote Health and Indian Journal of Ophthalmology.

In The Last Decade

Kunal Shah

8 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Kunal Shah	171	73	70	55	29	9	307
Richard L. Roth	157 0.9×	74 1.0×	17 0.2×	41 0.7×	13 0.4×	10	349
Audrey Chen	182 1.1×	71 1.0×	40 0.6×	23 0.4×	72 2.5×	19	363
Xiaofan Zhang	107 0.6×	20 0.3×	48 0.7×	29 0.5×	28 1.0×	24	237
Federico Tenedini	256 1.5×	51 0.7×	75 1.1×	34 0.6×	31 1.1×	11	325
J.M. de Souza	121 0.7×	107 1.5×	43 0.6×	95 1.7×	11 0.4×	13	356
Nihar Bhattacharyya	161 0.9×	16 0.2×	18 0.3×	30 0.5×	12 0.4×	15	311
Nicole Y. Leung	148 0.9×	10 0.1×	38 0.5×	34 0.6×	76 2.6×	10	328
Dieter D. Brandner	56 0.3×	23 0.3×	29 0.4×	10 0.2×	9 0.3×	9	293
R. M. Shackelford	41 0.2×	24 0.3×	38 0.5×	17 0.3×	14 0.5×	17	268
Daewoo Lee	188 1.1×	15 0.2×	63 0.9×	18 0.3×	15 0.5×	14	349

Countries citing papers authored by Kunal Shah

Since Specialization

Citations

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

Fields of papers citing papers by Kunal Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunal Shah

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