Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Probiotics, their health benefits and applications for developing healthier foods: a review
2012335 citationsRavinder Nagpal, Ashwani Kumar et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Ashwani Kumar'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 Ashwani Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwani Kumar more than expected).
This network shows the impact of papers produced by Ashwani Kumar. 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 Ashwani Kumar. The network helps show where Ashwani Kumar may publish in the future.
Co-authorship network of co-authors of Ashwani Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Ashwani Kumar.
A scholar is included among the top collaborators of Ashwani Kumar 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 Ashwani Kumar. Ashwani Kumar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kumar, Ashwani, et al.. (2021). Insights of Herbal Supplements during Transition Period in Dairy Animals: An Updated Review. Iranian journal of applied animal science. 11(3). 419–429.9 indexed citations
Sharma, Vivek, et al.. (2018). Correlation matrix wheat (Triticum asetivum L.) grain zinc (Zn) & iron (Fe) and among yield contributing traits quantitative and quality traits. Journal of Pharmacognosy and Phytochemistry. 7(4). 329–332.1 indexed citations
13.
Kumar, Ashwani, Amarjeet Kaur, V. K. Joshi, & Vikas Kumar. (2017). Rosa damascena: Quality evaluation and process optimization for the development of rose syrup. International Journal of Food and Fermentation Technology. 7(2). 279–285.3 indexed citations
14.
Yadav, Ashok, et al.. (2017). To study the performance of lentil (Lens culinaris M.) varieties under rainfed conditions.. PLANT ARCHIVES. 17(1). 715–719.1 indexed citations
15.
Yadav, Ashwani Kumar, et al.. (2016). Biopesticides - an alternative and eco-friendly source for the control of pests in agricultural crops.. PLANT ARCHIVES. 16(2). 902–906.14 indexed citations
16.
Joshi, V. K., Ashwani Kumar, & Vikas Kumar. (2012). Antimicrobial, antioxidant and phyto-chemicals from fruit and vegetable wastes: A review. International Journal of Food and Fermentation Technology. 2(2). 123–136.46 indexed citations
17.
Kumar, Ashwani, et al.. (2011). Wheat genome phylogeny and improvement.. Australian Journal of Crop Science. 5(9). 1120–1126.4 indexed citations
18.
Nagpal, Ravinder, et al.. (2010). In vitro probiotic potential of lactobacilli isolated from indigenous fermented milk products.. 5(2). 103–110.7 indexed citations
19.
Chaturvedi, Shivani, Ashwani Kumar, & Balraj Singh. (2009). UTILIZING COMPOSTED JATROPHA, NEEM CAKE AND TOBACCO WASTE TO SUSTAIN GARLIC YIELDS IN INDO-GANGETIC PLAINS. The Journal of Phytology. 1(6). 353–360.2 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.