This map shows the geographic impact of C. D. Mayee'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 C. D. Mayee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. D. Mayee more than expected).
This network shows the impact of papers produced by C. D. Mayee. 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 C. D. Mayee. The network helps show where C. D. Mayee may publish in the future.
Co-authorship network of co-authors of C. D. Mayee
This figure shows the co-authorship network connecting the top 25 collaborators of C. D. Mayee.
A scholar is included among the top collaborators of C. D. Mayee 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 C. D. Mayee. C. D. Mayee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mayee, C. D., et al.. (2006). Impact of soil depths on yield of Bt cotton hybrids under rainfed conditions.. Journal of Cotton Research and Development. 20(1). 80–82.2 indexed citations
6.
Monga, D., et al.. (2005). Polymerase chain reaction-based detection of Xanthomonas axonopodis pv malvacearum and cotton leaf curl virus. The Indian Journal of Agricultural Sciences. 75(8). 524–528.1 indexed citations
7.
Hebbar, K. B., et al.. (2002). Effect of sowing dates and fertilizer levels on phenology, growth and yield of cotton. Indian Journal of Plant Physiology. 7(4). 380–383.8 indexed citations
8.
Mayee, C. D., et al.. (2002). Agrobacterium-mediated Transformation and Regeneration by Direct Shoot Organogenesis in Cotton (G. hirsutum). 87–87.1 indexed citations
9.
Mayee, C. D.. (1998). Sustainable management of diseases of sunflower. Indian Phytopathology. 51(4). 311–314.1 indexed citations
10.
Mayee, C. D., et al.. (1995). Structural defence mechanisms in groundnut to late leaf spot pathogen. Indian Phytopathology. 48(2). 160–165.4 indexed citations
11.
Mayee, C. D., et al.. (1995). Structural defence mechanisms in groundnut to rust pathogen. Indian Phytopathology. 48(2). 154–159.1 indexed citations
12.
Mayee, C. D.. (1995). Mundkur Memorial Award Lecture - Current status and future approaches for management of groundnut diseases in India. Indian Phytopathology. 48(4). 389–401.1 indexed citations
Mayee, C. D., et al.. (1990). STALK WATER POTENTIAL IN RELATION TO CHARCOAL ROT OF SORGHUM. Indian Phytopathology. 43(2). 192–196.10 indexed citations
15.
Mayee, C. D., et al.. (1986). Reaction of pigeonpea genotypes and their crosses to Fusarium wilt.. Indian Phytopathology. 39(1). 70–74.8 indexed citations
16.
Mayee, C. D., et al.. (1981). Assessment of losses in peanut due to rust and tikka leaf spots. Indian Phytopathology. 34(2). 179–182.7 indexed citations
17.
Mayee, C. D., et al.. (1980). Breeding for early blight resistance in tomato.. Indian Phytopathology. 33(1).3 indexed citations
18.
Mayee, C. D., et al.. (1980). Development of rust and leaf spots of groundnut as influenced by foliar application of carbendazim and tridemorph.. Pesticides. 14(6). 16–19.2 indexed citations
19.
Mayee, C. D., et al.. (1977). Fungicidal seed treatment in the control of Sclerotium rolfsii Sacc. of soybean. Indian journal of plant protection. 5(1). 35–37.2 indexed citations
20.
Mayee, C. D., et al.. (1974). The comparative performance of different genotypes of tomato vis-a-vis leaf curl and mosaic.. 11(4). 362–364.4 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.