Mohar Singh

1.8k total citations
86 papers, 1.1k citations indexed

About

Mohar Singh is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Nutrition and Dietetics. According to data from OpenAlex, Mohar Singh has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Plant Science, 18 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Nutrition and Dietetics. Recurrent topics in Mohar Singh's work include Agricultural pest management studies (44 papers), Genetic and Environmental Crop Studies (41 papers) and Botanical Research and Chemistry (18 papers). Mohar Singh is often cited by papers focused on Agricultural pest management studies (44 papers), Genetic and Environmental Crop Studies (41 papers) and Botanical Research and Chemistry (18 papers). Mohar Singh collaborates with scholars based in India, Australia and Colombia. Mohar Singh's co-authors include I. S. Bisht, K. C. Bansal, Swarup K. Parida, Deepak Bajaj, Nikhil Malhotra, Shouvik Das, Akhilesh K. Tyagi, Jai Chand Rana, Ashutosh Sarker and Vinod Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mohar Singh

77 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohar Singh India 20 937 170 103 91 87 86 1.1k
Tolga Karaköy Türkiye 20 848 0.9× 122 0.7× 92 0.9× 129 1.4× 122 1.4× 61 985
Hubert Adoukonou‐Sagbadja Benin 15 532 0.6× 232 1.4× 218 2.1× 86 0.9× 54 0.6× 58 903
J. B. Morris United States 17 572 0.6× 121 0.7× 149 1.4× 136 1.5× 63 0.7× 38 741
Megahed H. Ammar Saudi Arabia 17 652 0.7× 94 0.6× 61 0.6× 136 1.5× 54 0.6× 33 755
Zvonimir Zdunić Croatia 15 557 0.6× 54 0.3× 75 0.7× 121 1.3× 78 0.9× 54 731
Francesc Casañas Artigas Spain 16 727 0.8× 51 0.3× 163 1.6× 103 1.1× 72 0.8× 65 921
Harsh Kumar Dikshit India 18 932 1.0× 80 0.5× 50 0.5× 76 0.8× 79 0.9× 89 983
A. K. Jukanti India 6 686 0.7× 120 0.7× 228 2.2× 85 0.9× 71 0.8× 9 887
V. R. B. Sastry India 16 362 0.4× 115 0.7× 84 0.8× 90 1.0× 238 2.7× 65 704
Howard F. Harrison United States 17 812 0.9× 77 0.5× 88 0.9× 164 1.8× 106 1.2× 71 977

Countries citing papers authored by Mohar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Mohar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohar Singh. A scholar is included among the top collaborators of Mohar Singh 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 Mohar Singh. Mohar Singh 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.
Sharma, Paras, et al.. (2025). Evaluating free-bound polyphenols, flavonoids and antioxidant properties of pigmented maize landraces. Food Chemistry Advances. 7. 101006–101006.
2.
Kaur, Simardeep, Naseeb Singh, Paras Sharma, et al.. (2024). Optimizing protein content prediction in rice bean (Vigna umbellata L.) by integrating near-infrared reflectance spectroscopy, MPLS, deep learning, and key wavelengths selection algorithms. Journal of Food Composition and Analysis. 135. 106655–106655. 10 indexed citations
3.
Singh, Inderjit, et al.. (2024). Assessment of genetic diversity in interspecific derivatives of chickpea (Cicer arietinum L.). Agricultural Research Journal. 61(1). 70–74. 2 indexed citations
4.
Bartwal, Arti, Christine Jeyaseelan, Paras Sharma, et al.. (2023). Rice bean-adzuki bean multitrait near infrared reflectance spectroscopy prediction model: a rapid mining tool for trait-specific germplasm. Frontiers in Nutrition. 10. 1224955–1224955. 7 indexed citations
6.
Maiti, Swapan Kumar, et al.. (2021). Marsupialisation of bilateral ranula in a buffalo calf. MOJ Anatomy & Physiology. 8(1). 11–13.
7.
Gautam, Neha, Pankaj Sharma, Jai Chand Rana, & Mohar Singh. (2021). Detection of Plant Growth Promoting Traits in Pseudomonas lurida AH1 Isolated from Rhizosphere of Aconitum Heterophyllum wall. ex royle. 2(6). 1 indexed citations
8.
Singh, Kuldeep, et al.. (2019). Plant genetic resources management and pre-breeding in genomics era. Indian Journal of Genetics and Plant Breeding (The). 79(01S). 4 indexed citations
9.
Singh, Mohar, et al.. (2018). Transgressive segregations for agronomic improvement using interspecific crosses between C. arietinum L. × C. reticulatum Ladiz. and C. arietinum L. × C. echinospermum Davis species.. PLoS ONE. 13(9). 2 indexed citations
11.
Singh, Mohar, et al.. (2016). Chickpea genetic resources and its utilization in India: Current status and future prospects. Indian Journal of Genetics and Plant Breeding (The). 76(4). 515–515. 6 indexed citations
12.
Gautam, N.K., C. Gayacharan, Mohar Singh, et al.. (2016). Genetic resources of pulse crops in India: An overview. Indian Journal of Genetics and Plant Breeding (The). 76(4). 420–420. 11 indexed citations
13.
Singh, Mohar, Hari D. Upadhyaya, & I. S. Bisht. (2013). Genetic and genomic resources of grain legume improvement. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 31 indexed citations
14.
Gautam, N.K., et al.. (2013). Assessment of lentil germplasm with respect to agromonic performance and major biotic stress.. Legume Research - An International Journal. 36(3). 214–219. 7 indexed citations
15.
Singh, Mohar, et al.. (2011). Factor Analysis of Components of Yield and some Growth Parameters in Urdbean (Vigna mungo (L.) Hepper). Indian Journal of Plant Genetic Resources. 24(3). 346–348.
16.
Singh, Mohar, et al.. (2010). Genetic Diversity of French Bean (Bush Type) Genotypes in North-West Himalayas. Indian Journal of Plant Genetic Resources. 23(3). 285–287. 5 indexed citations
17.
Singh, Mohar, et al.. (2010). Influence of cropping systems on combining ability and gene action for grain yield and its components in blackgram (Vigna mungo). The Indian Journal of Agricultural Sciences. 80(10). 853–857. 1 indexed citations
18.
Singh, Dinesh, Rajeev Kumar Gupta, Mohar Singh, & Vikas Sharma. (2009). Characterization of pecan (Carya illinoensis) germplasm of seedling origin through regression and principal component analysis. The Indian Journal of Agricultural Sciences. 79(4). 324–326.
19.
Singh, Mohar, et al.. (2006). Profitability of nipping in cultivation of pea (Pisum sativum)–an indigenous agro-technique in Manipur. Indian Journal of Agronomy. 51(3). 206–208. 5 indexed citations
20.
Singh, Mohar. (2005). A study of combining ability for physiological traits in urdbean (Vigna mungo (L.) Hepper). Legume Research - An International Journal. 28(2). 107–110. 3 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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