Parkash Chand

29 total papers · 424 total citations
16 papers, 315 citations indexed

About

Parkash Chand is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Parkash Chand has authored 16 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Parkash Chand's work include Carcinogens and Genotoxicity Assessment (4 papers), DNA Repair Mechanisms (4 papers) and Sperm and Testicular Function (2 papers). Parkash Chand is often cited by papers focused on Carcinogens and Genotoxicity Assessment (4 papers), DNA Repair Mechanisms (4 papers) and Sperm and Testicular Function (2 papers). Parkash Chand collaborates with scholars based in India. Parkash Chand's co-authors include M. Shanmugam, Vishnu Bhat B, S. Nandhakumar, Subramani Parasuraman, Venkatesh S. Madhugiri, Ravi Philip Rajkumar, Vikas Menon, P. S. Sathidevi, B. Adhisivam and B. Vishnu Bhat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Psychiatric Research and Computer Methods and Programs in Biomedicine.

In The Last Decade

Parkash Chand

13 papers receiving 301 citations

Author Peers

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

Author						Papers	Cites
Parkash Chand	88	54	45	38	32	16	315
Zi Chen	78 0.9×	15 0.3×	17 0.4×	15 0.4×	25 0.8×	18	356
Jin Ma	109 1.2×	5 0.1×	24 0.5×	48 1.3×	21 0.7×	16	320
Siti Nurul Mubarokah	167 1.9×	3 0.1×	34 0.8×	32 0.8×	8 0.3×	8	300
Nadia Johnson	92 1.0×	13 0.2×	29 0.6×	18 0.5×	39 1.2×	14	272
Salem Hussain Alharethi	112 1.3×	8 0.1×	12 0.3×	21 0.6×	3 0.1×	18	268
Marlise Araújo dos Santos	47 0.5×	4 0.1×	23 0.5×	71 1.9×	7 0.2×	26	287
Tripti Mishra	72 0.8×	26 0.5×	8 0.2×	14 0.4×	7 0.2×	23	326
Ying Liu	117 1.3×	10 0.2×	24 0.5×	23 0.6×	2 0.1×	16	331
Hongmei Mao	87 1.0×	5 0.1×	20 0.4×	67 1.8×	10 0.3×	21	254
Ling Zuo	129 1.5×	6 0.1×	27 0.6×	21 0.6×	4 0.1×	26	275

Countries citing papers authored by Parkash Chand

Since Specialization

Citations

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

Fields of papers citing papers by Parkash Chand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parkash Chand

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