This map shows the geographic impact of Minakshi'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 Minakshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minakshi more than expected).
This network shows the impact of papers produced by Minakshi. 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 Minakshi. The network helps show where Minakshi may publish in the future.
Co-authorship network of co-authors of Minakshi
This figure shows the co-authorship network connecting the top 25 collaborators of Minakshi.
A scholar is included among the top collaborators of Minakshi 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 Minakshi. Minakshi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Minakshi, et al.. (2020). Optimization of IAA production and P-solubilization potential in Bacillus subtilis KA (1) 5r isolated from the medicinal herb Aconitum heterophyllum-growing in western Himalaya, India. Journal of Pharmacognosy and Phytochemistry. 9(1). 2008–2015.5 indexed citations
6.
Minakshi, et al.. (2018). Characterization of efficient plant growth promoting rhizobacteria associated with chrysanthemum (Dendranthema grandiflora Tzvelev). Journal of Pharmacognosy and Phytochemistry. 7(6). 1547–1554.
7.
Minakshi, et al.. (2015). Effect of storage time and temperature on serum clinical biochemistry analytes. 9(4).4 indexed citations
8.
Minakshi, et al.. (2012). Detection of group B rotavirus in buffalo calves in Haryana state of Northern India.. 7(3). 71–74.2 indexed citations
9.
Kumar, Vinit, et al.. (2011). Water Quality Status of Historical Antiya Tall at Jhansi City as a Primary Data for Sustainable Approach. Recent Research in Science and Technology. 3(8). 52–55.3 indexed citations
10.
Kumar, Ashwani, et al.. (2009). Cytochrome-b gene based PCR for identification and differentiation of cooked meat of sheep, goat, cattle, pig and poultry.. Haryana Veterinarian. 48. 53–57.2 indexed citations
11.
Minakshi, et al.. (2009). Occurrence of dual infection of bovine group A rotavirus in diarrhoeic calf in Haryana, India. The Indian Journal of Animal Sciences. 79(12). 1205–1208.6 indexed citations
12.
Malik, Yashpal Singh, et al.. (2008). Occurrence of mammalian group A rotavirus in swine population of central India. The Indian Journal of Animal Sciences. 78(5).5 indexed citations
13.
Malik, Yashpal Singh, et al.. (2008). Co-occurrence of avian rotavirus and bacterial pathogens in diarrheic poultry. The Indian Journal of Animal Sciences. 78(5).1 indexed citations
Minakshi, et al.. (2005). Spatial distribution of micronutrients in soils of Patiala district – A GIS approach. Journal of the Indian Society of Soil Science. 53(3). 324–329.8 indexed citations
17.
Minakshi, et al.. (2004). Direct detection of viral genome and histopathological studies of bursal tissues collected from an infectious bursal disease suspected outbreak. Indian Journal of Poultry Science. 39(2). 201–203.1 indexed citations
18.
Malik, Yashpal Singh, Minakshi, Sushila Maan, & Gaya Prasad. (2000). Comparison of cultural characteristics and genomic profiles of two strains of bluetongue virus 1 of Indian origin.. The Indian Journal of Animal Sciences. 70(1). 3–7.2 indexed citations
19.
Minakshi, et al.. (1990). Hypogammaglobulinaemia in calves - a threat to dairy industry.. 15(2). 23–27.
20.
Minakshi, et al.. (1990). Salmonella gallinarum var duisburg an emerging biotype causing heavy mortality in poultry birds in northern india. The Indian Journal of Animal Sciences. 60(2). 127–130.6 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.