Chander Parkash

817 total citations
61 papers, 592 citations indexed

About

Chander Parkash is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chander Parkash has authored 61 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 19 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chander Parkash's work include Plant tissue culture and regeneration (8 papers), Flowering Plant Growth and Cultivation (7 papers) and Chromosomal and Genetic Variations (7 papers). Chander Parkash is often cited by papers focused on Plant tissue culture and regeneration (8 papers), Flowering Plant Growth and Cultivation (7 papers) and Chromosomal and Genetic Variations (7 papers). Chander Parkash collaborates with scholars based in India, Pakistan and China. Chander Parkash's co-authors include S. S. Dey, Reeta Bhatia, Jaswinder Singh, Kanika Sharma, Raj Kumar, Sharanpreet Singh, S. S. Dhaliwal, Sandeep Sharma, Anudeep Kaur and Eleonore Blaurock-Busch and has published in prestigious journals such as Environmental Science and Pollution Research, Scientia Horticulturae and Euphytica.

In The Last Decade

Chander Parkash

54 papers receiving 566 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chander Parkash India 16 341 226 70 56 53 61 592
Jabar Zaman Khan Khattak Pakistan 15 304 0.9× 116 0.5× 73 1.0× 32 0.6× 51 1.0× 35 647
Éva Vincze Denmark 18 740 2.2× 271 1.2× 37 0.5× 35 0.6× 84 1.6× 32 936
Shailendra Singh India 18 644 1.9× 173 0.8× 140 2.0× 7 0.1× 33 0.6× 47 888
Koffi Tozo Togo 8 188 0.6× 121 0.5× 25 0.4× 30 0.5× 12 0.2× 41 344
Bola Oboh Nigeria 14 139 0.4× 53 0.2× 14 0.2× 64 1.1× 122 2.3× 48 481
Dazhong Zhang China 12 347 1.0× 69 0.3× 36 0.5× 48 0.9× 106 2.0× 21 429
Guangdong Wang China 12 232 0.7× 262 1.2× 44 0.6× 19 0.3× 28 0.5× 29 451
Magdalena Migocka Poland 16 380 1.1× 306 1.4× 8 0.1× 28 0.5× 73 1.4× 23 691
Junjie Zhao China 14 278 0.8× 176 0.8× 8 0.1× 41 0.7× 78 1.5× 55 535

Countries citing papers authored by Chander Parkash

Since Specialization
Citations

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

Fields of papers citing papers by Chander Parkash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chander Parkash

This figure shows the co-authorship network connecting the top 25 collaborators of Chander Parkash. A scholar is included among the top collaborators of Chander Parkash 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 Chander Parkash. Chander Parkash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Anil, Chander Parkash, & Jiawei Xiang. (2025). A robust entropy-based sparsity measure for health monitoring of rotating machinery. Structural Health Monitoring.
2.
Parkash, Chander, Sandeep Kumar, B S TOMAR, et al.. (2024). Unraveling heterosis and combining ability for enhancing yield and its component traits in cabbage. Vegetable Science. 51(1). 24–32. 1 indexed citations
3.
Parkash, Chander, et al.. (2023). Cabbage: Breeding and Genomics. Vegetable Science. 50(Special). 231–243.
4.
Jain, R. K., et al.. (2020). Occurrence of cucumber mosaic virus Subgroup I on different plant families in Himachal Pradesh and its infection to new hosts. Indian Phytopathology. 73(4). 759–766. 1 indexed citations
5.
7.
Kumar, Sandeep, et al.. (2019). Standardization of production technology of cabbage and cauliflower hybrids for off-season cultivation in Kullu Valley of Himachal Pradesh. International Journal of Chemical Studies. 7(1). 869–873.
8.
Kumar, Sandeep, et al.. (2019). Genetic diversity and principal component analysis based on vegetative, floral and bulbous traits in narcissus (Narcissus pseudonarcissus L.). International Journal of Chemical Studies. 7(1). 724–729. 1 indexed citations
9.
Singh, Jaswinder, et al.. (2018). Modulatory role of vermicompost and vermiwash on growth, yield and nutritional profiling of Linum usitatissimum L. (Linseed): a field study. Environmental Science and Pollution Research. 26(3). 3006–3018. 14 indexed citations
11.
Kumar, Ramesh, et al.. (2017). Heterotic potential, potence ratio, combining ability and genetic control of yield and its contributing traits in cucumber ( Cucumis sativus L.). New Zealand Journal of Crop and Horticultural Science. 45(3). 175–190. 10 indexed citations
12.
Parkash, Chander, et al.. (2015). Studies on genetic variability, heritability, genetic advance and correlation in Alstroemeria spp.. Journal of Ornamental Horticulture. 18. 118–125.
13.
Dey, S. S., et al.. (2015). Genetic divergence and interaction among CUPRAC, FRAP and total phenolics content in cauliflower ( Brassica oleracea var. botrytis L.). Indian Journal of Genetics and Plant Breeding (The). 75(1). 79–79. 8 indexed citations
14.
Dey, S. S., et al.. (2014). Evaluation of cauliflower (Brassica oleracea var. botrytis) CMS (Ogura) lines for agronomic and floral traits. Indian Journal of Horticulture. 71(3). 424–427. 2 indexed citations
15.
Parkash, Chander, et al.. (2013). Role of nitric oxide donor compound to extend the vase life of lilium cut flower.. International journal of agriculture innovation and research. 2(2). 258–262. 2 indexed citations
16.
Bhatia, Reeta, et al.. (2013). In vitro propagation of a self-incompatible cabbage line ‘Sel. 5’. Indian Journal of Horticulture. 70(3). 364–368. 2 indexed citations
17.
Bhatia, Reeta, et al.. (2013). Genetic variability and character association in tulip (Tulipa gesneriana) for various quantitative traits.. The Indian Journal of Agricultural Sciences. 83(7). 773–780. 4 indexed citations
18.
Dey, S. S., et al.. (2011). Development and characterization of “Ogura” based improved CMS lines of cauliflower (Brassica oleracea var. botrytis L.). Indian Journal of Genetics and Plant Breeding (The). 71(1). 37–42. 18 indexed citations
19.
Sharma, et al.. (2011). Genetic Divergence in Snowball Cauliflower (Brassica oleracea var. botrytis L.). Indian Journal of Plant Genetic Resources. 24(1). 48–51. 4 indexed citations
20.
Parkash, Chander, Karan Singh, & G. Kalloo. (2000). Variability analysis and cause and effect relationship in ashgourd [Benincasa hispida (Thunb.) Cogn.]. Indian Journal of Plant Genetic Resources. 13(3). 298–301. 5 indexed citations

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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