This map shows the geographic impact of SK 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 SK Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SK Singh more than expected).
This network shows the impact of papers produced by SK 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 SK Singh. The network helps show where SK Singh may publish in the future.
Co-authorship network of co-authors of SK Singh
This figure shows the co-authorship network connecting the top 25 collaborators of SK Singh.
A scholar is included among the top collaborators of SK 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 SK Singh. SK Singh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Singh, SK, et al.. (2020). Fertilizer economy through under soil- test crop response targeted yield model in maize crop in Chandauli district, Uttar Pradesh. Journal of Pharmacognosy and Phytochemistry. 9(1). 481–483.1 indexed citations
4.
Kumar, Vinay, Mukesh Kumar, SK Singh, & Pooran Chand. (2020). Genetic diversity analysis in chickpea (Cicer arietinum) genotypes using morphological and SSR markers. Journal of Pharmacognosy and Phytochemistry. 9(2). 1091–1097.
5.
Bhattacharyya, Malini, SK Singh, & Babita Patni. (2020). Biochemical Mechanisms to Defend Salinity Stress in Cabbage Family Members. Advances in Crop Science and Technology.1 indexed citations
6.
Singh, SK, et al.. (2019). Assessment of Lustre 37.5 EC, a novel fungicide, against powdery mildew disease of urdbean (Vigna mungo L.). Journal of Food Legumes. 32(2). 117–119.
7.
Singh, SK, et al.. (2019). Variability for bunch and berry characteristics in seeded and seedless grape genotypes evaluated under subtropical condition in India. International Journal of Chemical Studies. 7(4). 2454–2458.2 indexed citations
8.
Singh, SK, et al.. (2019). Effect of organic and inorganic nutrient sources on growth, yield and quality of bell pepper (Capsicum annuum L.) grown under polyhouse condition. Journal of Pharmacognosy and Phytochemistry. 8(1). 1788–1792.8 indexed citations
Singh, SK, et al.. (2018). Vertical distribution of soil nutrients and its correlation with chemical properties in soils of Yavatmal district, Maharashtra. Journal of Pharmacognosy and Phytochemistry. 7(6). 2799–2805.3 indexed citations
11.
Yadav, Neelam, et al.. (2018). Assessment of effects of sewage-sludge, zinc, boron and sulphur application on concentration and uptake of nutrients by mustard. International Journal of Chemical Studies. 6(4). 363–367.1 indexed citations
12.
Singh, SK, et al.. (2018). Growth and yield of cabbage var. Golden Acre as affected by nitrogen, phosphorus and potassium fertilizers under acid soil conditions. Journal of Pharmacognosy and Phytochemistry. 7(1). 361–363.3 indexed citations
13.
Singh, SK, et al.. (2018). Studies on combining ability in forage sorghum for yield and quality parameters. Journal of Pharmacognosy and Phytochemistry. 7(4). 2182–2188.
Singh, SK, et al.. (2017). Effect of different levels of fertigation and foliar application of nutrients on capsicum (Capsicum annuum L. var. grossum) grown in soilless media under polyhouse conditions. Journal of Pharmacognosy and Phytochemistry. 6(6). 1770–1773.1 indexed citations
Sharma, V., et al.. (2015). Microencapsulation techniques applicable to food flavours research and development: A comprehensive review. 4(3). 119.2 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.