This map shows the geographic impact of Madhu Mohini'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 Madhu Mohini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhu Mohini more than expected).
This network shows the impact of papers produced by Madhu Mohini. 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 Madhu Mohini. The network helps show where Madhu Mohini may publish in the future.
Co-authorship network of co-authors of Madhu Mohini
This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Mohini.
A scholar is included among the top collaborators of Madhu Mohini 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 Madhu Mohini. Madhu Mohini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mohini, Madhu, et al.. (2015). Evaluation of Crinipellis sp. Treated Wheat Straw Based Diet for Ruminants under in Vitro System. Indian Journal of Animal Nutrition. 32(1). 25–29.1 indexed citations
9.
De, Debasis, et al.. (2012). Influence of monensin enriched UMMB feeding on in vivo methane emission in crossbred calves fed on wheat straw and concentrate based diet. The Indian Journal of Animal Sciences. 82(6).1 indexed citations
10.
Singhal, K. K., et al.. (2011). Comparative nutritional evaluation of transgenic cottonseeds containing Cry1C protein for ruminant feeding. Livestock research for rural development. 23.2 indexed citations
11.
Jain, Pankaj, Madhu Mohini, K. K. Singhal, & Akhilesh K. Tyagi. (2011). Effect of Herbal Mixture Supplementation on Methane Emission and Milk Production in Cattle. Indian Journal of Animal Nutrition. 28(4). 377–384.4 indexed citations
12.
Puniya, Monica, et al.. (2011). Evaluation of Forages in Terms of Carbohydrate, Nitrogen Fractions and Methane Production. Indian Journal of Animal Nutrition. 28(3). 231–238.10 indexed citations
13.
Mohini, Madhu, et al.. (2010). Effect of Supplementation of Urea Molasses Mineral Block (UMMB) on the Milk Yield and Methane Production in Lactating Cattle on Different Plane of Nutrition. Indian Journal of Animal Nutrition. 27(2). 96–102.12 indexed citations
14.
Mohini, Madhu, et al.. (2009). Methane Emission from Sahiwal Cows on Dietary Supplementation of Fumaric Acid as a Feed Additive. Indian Journal of Animal Nutrition. 26(1). 51–55.3 indexed citations
15.
Shanmugam, M., et al.. (2008). Performance of Zebu Crossbred Dairy Heifers Fed Monensin Around Puberty. Indian Journal of Animal Nutrition. 25(4). 342–348.
16.
Mohini, Madhu & Gaurav Pratap Singh. (2008). Methane Emission from Buffalo Calves Fed on Maize Fodder and Silage Based Rations. Indian Journal of Animal Nutrition. 25(4). 313–317.4 indexed citations
17.
Mohini, Madhu, et al.. (2001). Effect of Supplementation of Rumensin and Level of Roughage on Methane Production. Indian Journal of Animal Nutrition. 18(4). 325–329.5 indexed citations
18.
Mohini, Madhu, et al.. (1999). Level of green maize affecting methane production on roughage based diet. The Indian Journal of Animal Sciences. 69(1). 54–58.2 indexed citations
19.
Mohini, Madhu, et al.. (1999). Effect of bentonite on growth in crossbred calves fed diet containing urea. The Indian Journal of Animal Sciences. 69(10). 823–826.
20.
Mohini, Madhu & B. N. Gupta. (1993). Nutrient Utilisation in Buffaloes Fed Paddy Straw Supplemented with Urea Molasses Mineral Block. Indian Journal of Animal Nutrition. 10(4). 217–221.3 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.