Kailash Chand

72 total papers · 427 total citations
35 papers, 333 citations indexed

About

Kailash Chand is a scholar working on Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kailash Chand has authored 35 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Molecular Biology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kailash Chand's work include Phytochemicals and Medicinal Plants (5 papers), Medicinal Plants and Neuroprotection (3 papers) and Stress Responses and Cortisol (3 papers). Kailash Chand is often cited by papers focused on Phytochemicals and Medicinal Plants (5 papers), Medicinal Plants and Neuroprotection (3 papers) and Stress Responses and Cortisol (3 papers). Kailash Chand collaborates with scholars based in India, United Kingdom and Pakistan. Kailash Chand's co-authors include Prasoon Gupta, Rakesh Maurya, Debashis Mitra, Kruthika Iyer, Naila Rasheed, Ausaf Ahmad, Gautam Palit, Anuradha Dube, Nasib Singh and Naheed Banu and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and BMJ.

In The Last Decade

Kailash Chand

35 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Kailash Chand	91	56	50	49	48	35	333
Mohammed Abdulrahman Alshahrani	75 0.8×	37 0.7×	31 0.6×	39 0.8×	48 1.0×	36	387
D. Rajakumar	92 1.0×	81 1.4×	23 0.5×	60 1.2×	33 0.7×	34	400
OP Gupta	97 1.1×	41 0.7×	26 0.5×	54 1.1×	43 0.9×	42	389
Dandan Zhao	131 1.4×	80 1.4×	39 0.8×	19 0.4×	34 0.7×	19	320
Mojgan Azadpour	74 0.8×	78 1.4×	29 0.6×	37 0.8×	28 0.6×	26	369
Ezequiel Viveros‐Valdez	82 0.9×	65 1.2×	21 0.4×	37 0.8×	31 0.6×	37	318
John J. Georrge	170 1.9×	38 0.7×	16 0.3×	53 1.1×	40 0.8×	45	318
Marimuthu Ragavan Rameshkumar	115 1.3×	58 1.0×	35 0.7×	45 0.9×	25 0.5×	29	400
Xiumei Wu	108 1.2×	43 0.8×	25 0.5×	27 0.6×	37 0.8×	34	352
Thatiana Lopes Biá Ventura Simão	105 1.2×	35 0.6×	19 0.4×	69 1.4×	56 1.2×	32	308

Countries citing papers authored by Kailash Chand

Since Specialization

Citations

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

Fields of papers citing papers by Kailash Chand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kailash Chand

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