This map shows the geographic impact of Yogesh Vikal'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 Yogesh Vikal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogesh Vikal more than expected).
This network shows the impact of papers produced by Yogesh Vikal. 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 Yogesh Vikal. The network helps show where Yogesh Vikal may publish in the future.
Co-authorship network of co-authors of Yogesh Vikal
This figure shows the co-authorship network connecting the top 25 collaborators of Yogesh Vikal.
A scholar is included among the top collaborators of Yogesh Vikal 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 Yogesh Vikal. Yogesh Vikal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jindal, S. K., M. S. Dhaliwal, Yogesh Vikal, & Om Prakash Meena. (2021). Species diversity of genus Capsicum using agromorphological descriptors and simple sequence repeat markers. 59(12). 906–915.1 indexed citations
Kaur, Rupinder, et al.. (2014). Punjab basmati 3: A bacterial blight resistant dwarf version of basmati rice variety basmati 386. Journal of research. 51(2). 206–207.
12.
Kaur, Harleen, et al.. (2014). Pathogenic and molecular characterization of Fusarium moniliforme Sheld, the incitant of Fusarium maize stalk rot in the Punjab state of India.. Maydica. 59(3). 1–8.3 indexed citations
13.
Singh, Shiv P., et al.. (2012). Screening of land races of rice (Oryza sativa) for bacterial blight resistance and marker assisted surveying of known Xa/xa gene(s). Plant Disease Research. 27(2). 209–215.4 indexed citations
14.
Chhuneja, Parveen, Yogesh Vikal, Satinder Kaur, et al.. (2011). Marker-assisted pyramiding of leaf rust resistance genes Lr24 and Lr28 in wheat (Triticum aestivum). The Indian Journal of Agricultural Sciences. 81(3).11 indexed citations
15.
Bhatia, Dharminder, Jagjeet Singh Lore, Yogesh Vikal, Vikas Gupta, & Kuldeep Singh. (2010). Screening of Oryza species germplasm against a new variant of Xanthomonas oryzae pv. oryzae causing bacterial blight in Punjab. Plant Disease Research. 25(1). 44–47.2 indexed citations
16.
Vikal, Yogesh, et al.. (2010). Genetic diversity in carrot (Daucus carota L.) germplasm using mahalanobis D2 statistics.. THE ASIAN JOURNAL OF HORTICULTURE. 5(1). 168–171.1 indexed citations
17.
Bhatia, Dharminder, Rajiv Sharma, Vikas Gupta, Yogesh Vikal, & Kuldeep Singh. (2007). Rapid method for extraction of ready to use fine quality DNA. 2(2). 407–409.1 indexed citations
18.
Jhang, Tripta, Yogesh Vikal, K.C. Singh, Jiwan S. Sidhu, & H. S. Dhaliwal. (2007). Introgression and molecular identification of quantitative trait loci for yield components in rice (Oryza sativa L.) variety Basmati 370. Indian Journal of Genetics and Plant Breeding (The). 67(1). 1–6.1 indexed citations
19.
Sharma, Subhash, et al.. (2006). Oryza nivara (Sharma et Shastry) the progenitor of O. sativa (L.) subspecies indica harbours rich genetic diversity as measured by SSR markers. Current Science. 91(8). 1079–1085.21 indexed citations
20.
Kumar, Pawan, et al.. (2003). Genetic diversity studies of elite cotton germplasm lines using RAPD markers and morphological characteristics. Indian Journal of Genetics and Plant Breeding (The). 63(1). 5–10.23 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.