Countries citing papers authored by Ashutosh Ashutosh
Since
Specialization
Citations
This map shows the geographic impact of Ashutosh Ashutosh'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 Ashutosh Ashutosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashutosh Ashutosh more than expected).
Fields of papers citing papers by Ashutosh Ashutosh
This network shows the impact of papers produced by Ashutosh Ashutosh. 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 Ashutosh Ashutosh. The network helps show where Ashutosh Ashutosh may publish in the future.
Co-authorship network of co-authors of Ashutosh Ashutosh
This figure shows the co-authorship network connecting the top 25 collaborators of Ashutosh Ashutosh.
A scholar is included among the top collaborators of Ashutosh Ashutosh 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 Ashutosh Ashutosh. Ashutosh Ashutosh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Singh, Sudheer Kumar, et al.. (2018). Genotypic variability, heritability and genetic advance in Indian mustard [Brassica juncea (L.) Czern & Coss.] Genotypes. Journal of Pharmacognosy and Phytochemistry. 7(3). 350–352.1 indexed citations
10.
Ashutosh, Ashutosh, et al.. (2018). Simulation Study of the Generalized Synthetic Estimator for Domain Mean in the Sample Survey. 31(3). 87–100.2 indexed citations
11.
Ashutosh, Ashutosh, et al.. (2018). Modified Direct Regression Estimator for Domain Mean Using Auxiliary Character. International Journal of Applied Mathematics & Statistics. 57(6). 10–20.5 indexed citations
12.
Ashutosh, Ashutosh, et al.. (2018). Performance of sapota (Manilkara achras, Mill.) softwood grafts on precuring and different season. International Journal of Chemical Studies. 6(6). 1768–1772.1 indexed citations
Ashutosh, Ashutosh, et al.. (2015). IS BACTERIOLOGY A CONTRIBUTING FACTOR IN UNSALVAGEABLE NATURE OF DIABETIC FOOT INFECTIONS?–A STUDY IN A DISTRICT HOSPITAL IN MALAYSIA. International Journal of Pharmacy and Pharmaceutical Sciences. 8(1). 262–265.5 indexed citations
15.
Mir, Nazir Ahmad, et al.. (2014). Milk production status of lactating Murrah buffaloes on Tinospora cordifolia supplemented diet with special reference to immunological, metabolic, and hormonal profile.. 8(1). 18–25.2 indexed citations
16.
., Ali, et al.. (2013). More Benefit from Less Land： A New Rice-Pea-Rice Cropping Pattern for Resource-Poor Farmers of Bangladesh. 农业科学与技术：B. 3(3). 204–210.5 indexed citations
17.
Hooda, O. K., et al.. (2012). Responses of Vitamin C Supplementation on Biochemical, Hormonal and Physiological Parameters of Pregnant Murrah Buffaloes during Hot-humid Conditions. Indian Journal of Animal Nutrition. 29(3). 214–221.2 indexed citations
18.
Ashutosh, Ashutosh, et al.. (2012). Improving Linear Type Traits to Improve Production Sustainability and Longevity in Purebred Sahiwal Cattle. 农业科学与技术：A. 2(5). 636–639.5 indexed citations
19.
Upadhyay, R. C., et al.. (2012). Impact of climate change on reproductive functions of Murrah buffaloes.. The Journal of Animal and Plant Sciences. 22. 234–236.15 indexed citations
20.
Ashutosh, Ashutosh, et al.. (2000). Physiological responses of native and crossbred sheep to climatic stress under semi-arid conditions*. The Indian Journal of Animal Sciences. 70(8). 857–861.4 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.