This map shows the geographic impact of Anita Rani'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 Anita Rani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anita Rani more than expected).
This network shows the impact of papers produced by Anita Rani. 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 Anita Rani. The network helps show where Anita Rani may publish in the future.
Co-authorship network of co-authors of Anita Rani
This figure shows the co-authorship network connecting the top 25 collaborators of Anita Rani.
A scholar is included among the top collaborators of Anita Rani 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 Anita Rani. Anita Rani is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rani, Anita, et al.. (2016). Studies on biosynthesis of auxin in rhizobium and their impact on growth of Vigna mungo L.. 3(3). 371–376.3 indexed citations
8.
Rani, Anita & Vineet Kumar. (2015). Development and commercialization of kunitz trypsin inhibitor-free Indian soybean (Glycine max L.) genotypes. Current Science. 109(5). 855–856.3 indexed citations
Kumar, Vineet, et al.. (2011). Marker-assisted selection for development of kunitz trypsin inhibitorfree soybean varieties: I. Parental polymorphism survey using SSR markers. Indian Journal of Genetics and Plant Breeding (The). 71(4). 372–376.10 indexed citations
11.
Rani, Anita, et al.. (2011). NRC101 (IC0582901; INGR10054) and NRC102 (IC582902; INGR10055), Soybean (Glycine max) Germplasm, Free from Kunitz Trypsin Inhibitor Polypeptide. Indian Journal of Plant Genetic Resources. 24(1).2 indexed citations
12.
Singh, Rita, et al.. (2010). Genetic diversity in Indian ancestors, cultivars and exotic germplasm of soybean as revealed by RAPD markers.. National Academy Science Letters. 33. 1–8.1 indexed citations
13.
Kumar, Vineet, et al.. (2010). Assessment of exotic vegetable-type soybean genotypes for nutritional and antinutritional components.. The Indian Journal of Nutrition and Dietetics. 47(11). 491–498.1 indexed citations
Kumar, Vineet, Anita Rani, & Geeta Chauhan. (2007). A comparative study of oligosaccharides in immature and mature seeds of soybean genotypes. Journal of Food Science and Technology-mysore. 44(1). 49–51.4 indexed citations
17.
Kumar, Vineet, et al.. (2006). Evaluation of early maturing soybean (Glycine max) germplasm accessions for fatty acid composition. The Indian Journal of Agricultural Sciences. 76(3). 192–195.1 indexed citations
18.
Kumar, Vineet & Anita Rani. (2004). Fatty acid profile of released cultivars of Indian soybean (Glycine max) with special reference to identification of comparatively low linolenic and high oleic acid cultivars. The Indian Journal of Agricultural Sciences. 74(7). 388–391.3 indexed citations
19.
Rani, Anita, et al.. (2003). Evaluation of Antibacterial Activity from Rhizome Extract of Acorus calamus Linn. Journal of Scientific & Industrial Research. 62(6). 623–625.24 indexed citations
20.
Kumar, Vineet, et al.. (2001). Comparative activity of trypsin inhibitor among released soybean varieties/strains of India. The Indian Journal of Nutrition and Dietetics. 38(12). 437–440.2 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.