Countries citing papers authored by Dhananjay Singh
Since
Specialization
Citations
This map shows the geographic impact of Dhananjay 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 Dhananjay Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhananjay Singh more than expected).
This network shows the impact of papers produced by Dhananjay 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 Dhananjay Singh. The network helps show where Dhananjay Singh may publish in the future.
Co-authorship network of co-authors of Dhananjay Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Dhananjay Singh.
A scholar is included among the top collaborators of Dhananjay 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 Dhananjay Singh. Dhananjay Singh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Singh, Dhananjay, et al.. (2017). Effect of different irrigation and fertigation scheduling on economics of tomato crop.. Trends in Biosciences. 10(25). 5345–5348.2 indexed citations
Singh, Dhananjay, et al.. (2013). The role of magnetic field intensity in blood flow through overlappingstenosed artery: A Herschel-Bulkley fluid model. Advances in Applied Science Research. 4(6).2 indexed citations
Singh, Dhananjay, et al.. (2010). Quantitative analysis of flavonoids in Adhatoda vasica Nees extracts.. Der pharma chemica. 2(5). 242–246.6 indexed citations
12.
Singh, Dhananjay, et al.. (2010). Essential oil: production for health care in current scenario.. Annals of biological research. 1(3). 200–209.2 indexed citations
13.
Gupta, Prabhat K., Shivraj Sahai, Nahar Singh, et al.. (2004). Residue burning in rice-wheat cropping system: causes and implications. Current Science. 87(12). 1713–1717.233 indexed citations
14.
Mohan, B., et al.. (2003). Adoption of recommended practices by fish processing plants in kerala. Fishery Technology. 40(1).1 indexed citations
15.
Singh, Dhananjay, et al.. (2001). Heterosis for yield and its components in asiatic cotton hybrids based on GMS system under varied environments. Indian Journal of Genetics and Plant Breeding (The). 61(3). 291–292.4 indexed citations
16.
Singh, Dhananjay, et al.. (2000). Production potential and economics of winter maize (Zea mays L.) based cropping systems.. Annals of Agricultural Research. 21(4). 472–476.1 indexed citations
17.
Singh, Dhananjay, et al.. (2000). Production potential of maize (Zea mays)+potato (Solanum tuberosum) intercropping as influenced by fertilizer and potato genotypes.. Indian Journal of Agronomy. 45(1). 59–63.2 indexed citations
18.
Singh, Dhananjay, et al.. (1999). Genotypic x environment interaction on yield and quality traits of asiatic cotton (Gossypium arboreum). The Indian Journal of Agricultural Sciences. 69(3). 220–223.5 indexed citations
19.
Kumar, Ajay, et al.. (1994). Combining ability and heterosis for protein and methionine content in lentil (Lens culinaris). Indian Journal of Genetics and Plant Breeding (The). 54(2). 197–203.
20.
Singh, Dhananjay, et al.. (1977). Adaptability in Rice. Indian Journal of Genetics and Plant Breeding (The). 37(3). 403–410.2 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.