Gulab Chand

405 total citations
34 papers, 233 citations indexed

About

Gulab Chand is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Gulab Chand has authored 34 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 12 papers in Genetics and 5 papers in Agronomy and Crop Science. Recurrent topics in Gulab Chand's work include Plant Micronutrient Interactions and Effects (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetics and Plant Breeding (8 papers). Gulab Chand is often cited by papers focused on Plant Micronutrient Interactions and Effects (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetics and Plant Breeding (8 papers). Gulab Chand collaborates with scholars based in India and Bangladesh. Gulab Chand's co-authors include Vignesh Muthusamy, Rajkumar U. Zunjare, Firoz Hossain, Rashmi Chhabra, Hema S. Chauhan, Brijesh K. Mehta, Aanchal Baveja, Abhijit Kumar Das, Jayant S. Bhat and Satish K. Guleria and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Gulab Chand

28 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gulab Chand India 10 168 59 59 50 49 34 233
Hema S. Chauhan India 10 201 1.2× 75 1.3× 49 0.8× 127 2.5× 54 1.1× 18 286
Darío Pérez Conesa Spain 3 181 1.1× 175 3.0× 25 0.4× 76 1.5× 37 0.8× 7 339
Samuela Palombieri Italy 8 189 1.1× 68 1.2× 16 0.3× 15 0.3× 46 0.9× 26 236
Jianxin Bian China 10 173 1.0× 95 1.6× 45 0.8× 21 0.4× 24 0.5× 20 240
Yingni Xiao China 7 128 0.8× 29 0.5× 63 1.1× 16 0.3× 22 0.4× 11 161
Maria Mateos-Hernandez United States 6 210 1.3× 113 1.9× 121 2.1× 100 2.0× 15 0.3× 7 319
Brenda F. Owens United States 6 217 1.3× 123 2.1× 130 2.2× 120 2.4× 17 0.3× 7 348
Pingbo Li China 10 317 1.9× 112 1.9× 189 3.2× 29 0.6× 48 1.0× 22 384
Xingwei Zheng China 11 209 1.2× 72 1.2× 66 1.1× 12 0.2× 21 0.4× 35 268

Countries citing papers authored by Gulab Chand

Since Specialization
Citations

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

Fields of papers citing papers by Gulab Chand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gulab Chand

This figure shows the co-authorship network connecting the top 25 collaborators of Gulab Chand. A scholar is included among the top collaborators of Gulab 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 Gulab Chand. Gulab Chand 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.
Zunjare, Rajkumar U., Vignesh Muthusamy, Gulab Chand, et al.. (2025). Development, characterization and multi‐environment testing of novel male sterile baby corn hybrids. Journal of the Science of Food and Agriculture. 106(5). 2615–2624.
3.
Muthusamy, Vignesh, Rashmi Chhabra, Suman Dutta, et al.. (2025). Accelerated development of MTL and DMP gene-based subtropically-adapted maternal haploid inducer lines in maize using molecular breeding. Planta. 262(4). 88–88.
5.
Dutta, Suman, Rajkumar U. Zunjare, Dwijesh Chandra Mishra, et al.. (2024). Prediction of matrilineal specific patatin-like protein governing in-vivo maternal haploid induction in maize using support vector machine and di-peptide composition. Amino Acids. 56(1). 20–20. 5 indexed citations
6.
Chand, Gulab, et al.. (2024). Silkless1 gene in maize: development and validation of the gene-based markers for breeding silkless baby corn. Molecular Biology Reports. 52(1). 72–72. 2 indexed citations
7.
Muthusamy, Vignesh, Rajkumar U. Zunjare, Rashmi Chhabra, et al.. (2023). Composition of kernel-amylose and -resistant starch among subtropically adapted maize. Journal of Food Composition and Analysis. 119. 105236–105236. 9 indexed citations
8.
Muthusamy, Vignesh, Rashmi Chhabra, Gulab Chand, et al.. (2023). Molecular Characterization and Haplotype Analysis of Low Phytic Acid-1 (lpa1) Gene Governing Accumulation of Kernel Phytic Acid in Subtropically-Adapted Maize. Agriculture. 13(7). 1286–1286. 4 indexed citations
9.
Hossain, Firoz, Gulab Chand, Brijesh K. Mehta, et al.. (2023). Genetic dissection of embryo size and weight related traits for enhancement of kernel oil in maize. Plant Physiology and Biochemistry. 197. 107668–107668. 7 indexed citations
10.
Muthusamy, Vignesh, Rashmi Chhabra, Gulab Chand, et al.. (2023). Composition of methionine and association with lysine and tryptophan in subtropically adapted maize breeding lines. Cereal Chemistry. 100(6). 1336–1346. 4 indexed citations
11.
Zunjare, Rajkumar U., et al.. (2023). Provitamin A, lysine and tryptophan enrichment in shrunken2-based sweet corn genotypes through genomics-assisted breeding for crtRB1 and opaque2 genes. Molecular Biology Reports. 50(6). 4965–4974. 4 indexed citations
12.
Muthusamy, Vignesh, et al.. (2022). Genetic variation for grain phytate and molecular characterization of low phytic acid‐2 (lpa2) gene‐based maize (Zea mays) inbreds. Plant Breeding. 141(2). 212–222. 7 indexed citations
13.
Muthusamy, Vignesh, Rashmi Chhabra, Gulab Chand, et al.. (2022). Combining higher accumulation of amylopectin, lysine and tryptophan in maize hybrids through genomics-assisted stacking of waxy1 and opaque2 genes. Scientific Reports. 12(1). 706–706. 11 indexed citations
14.
Chhabra, Rashmi, Rajkumar U. Zunjare, Suman Dutta, et al.. (2022). Variation in anthocyanin pigmentation by R1-navajo gene, development and validation of breeder-friendly markers specific to C1-Inhibitor locus for in-vivo haploid production in maize. Molecular Biology Reports. 50(3). 2221–2229. 17 indexed citations
15.
Chand, Gulab, Vignesh Muthusamy, Tanu Allen, et al.. (2021). Composition of lysine and tryptophan among biofortified-maize possessing novel combination of opaque2 and opaque16 genes. Journal of Food Composition and Analysis. 107. 104376–104376. 9 indexed citations
16.
Naidu, Ravi, et al.. (2021). Butterflies of Tatamari Eco Centre, Chhattisgarh, India. 36(9). 1–6.
17.
Das, Abhijit Kumar, Vignesh Muthusamy, Rajkumar U. Zunjare, et al.. (2021). Development of Maize Hybrids With Enhanced Vitamin-E, Vitamin-A, Lysine, and Tryptophan Through Molecular Breeding. Frontiers in Plant Science. 12. 659381–659381. 25 indexed citations
18.
Hossain, Firoz, Vignesh Muthusamy, Rajkumar U. Zunjare, et al.. (2021). Development of sub-tropically adapted diverse provitamin-A rich maize inbreds through marker-assisted pedigree selection, their characterization and utilization in hybrid breeding. PLoS ONE. 16(2). e0245497–e0245497. 28 indexed citations
19.
Muthusamy, Vignesh, Rashmi Chhabra, Gulab Chand, et al.. (2020). Development and validation of breeder-friendly gene-based markers for lpa1-1 and lpa2-1 genes conferring low phytic acid in maize kernel. 3 Biotech. 10(3). 121–121. 15 indexed citations
20.
Chand, Gulab, et al.. (2015). Nutritional studies in sesame-chickpea cropping system under rainfed situations of low foothills of Jammu region.. 13. 335–339. 1 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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