Ganapati Mukri

472 total citations
29 papers, 213 citations indexed

About

Ganapati Mukri is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Ganapati Mukri has authored 29 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 10 papers in Agronomy and Crop Science and 9 papers in Genetics. Recurrent topics in Ganapati Mukri's work include Genetics and Plant Breeding (13 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Peanut Plant Research Studies (9 papers). Ganapati Mukri is often cited by papers focused on Genetics and Plant Breeding (13 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Peanut Plant Research Studies (9 papers). Ganapati Mukri collaborates with scholars based in India, Canada and Spain. Ganapati Mukri's co-authors include Hari D. Upadhyaya, Jyoti Kaul, Sube Singh, Ramesh Bhat, V. Sujay, M. V. C. Gowda, Yashbir Singh Shivay, R.D. Jat, Manish K. Pandey and Vanika Garg and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ganapati Mukri

24 papers receiving 201 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ganapati Mukri India 8 189 48 44 34 33 29 213
K. Ganesamurthy India 9 254 1.3× 67 1.4× 85 1.9× 28 0.8× 13 0.4× 65 289
Xueju Yang China 10 287 1.5× 62 1.3× 39 0.9× 84 2.5× 6 0.2× 23 323
Issa Faye Senegal 10 475 2.5× 20 0.4× 24 0.5× 78 2.3× 196 5.9× 13 486
N. M. Nayar India 8 160 0.8× 23 0.5× 12 0.3× 31 0.9× 8 0.2× 21 182
Setsuzo Yumoto Japan 10 308 1.6× 19 0.4× 32 0.7× 61 1.8× 2 0.1× 17 322
Joko Prasetiyono Indonesia 4 468 2.5× 293 6.1× 19 0.4× 21 0.6× 5 0.2× 33 484
Claudio Oddino Argentina 12 256 1.4× 3 0.1× 24 0.5× 32 0.9× 66 2.0× 30 278
Ezzat Karamı Iran 11 305 1.6× 56 1.2× 31 0.7× 31 0.9× 4 0.1× 25 327
A. K. Sarial India 9 410 2.2× 180 3.8× 78 1.8× 37 1.1× 3 0.1× 23 429
Hongliang Zheng China 7 284 1.5× 127 2.6× 20 0.5× 50 1.5× 4 0.1× 11 309

Countries citing papers authored by Ganapati Mukri

Since Specialization
Citations

This map shows the geographic impact of Ganapati Mukri'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 Ganapati Mukri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganapati Mukri more than expected).

Fields of papers citing papers by Ganapati Mukri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ganapati Mukri. 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 Ganapati Mukri. The network helps show where Ganapati Mukri may publish in the future.

Co-authorship network of co-authors of Ganapati Mukri

This figure shows the co-authorship network connecting the top 25 collaborators of Ganapati Mukri. A scholar is included among the top collaborators of Ganapati Mukri 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 Ganapati Mukri. Ganapati Mukri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Mukri, Ganapati, et al.. (2023). Inheritance of factors and validation of loci linked to the kernel row number in tropical field corn (Zea mays L.). Indian Journal of Genetics and Plant Breeding (The). 83(4). 490–498.
4.
Mukri, Ganapati, et al.. (2023). Designed and validated novel allele-specific primer to differentiate Kernel Row Number (KRN) in tropical field corn. PLoS ONE. 18(4). e0284277–e0284277. 2 indexed citations
5.
Pooniya, Vijay, Dinesh Kumar, Yashbir Singh Shivay, et al.. (2023). Timely sown maize hybrids improve the post-anthesis dry matter accumulation, nutrient acquisition and crop productivity. Scientific Reports. 13(1). 1688–1688. 14 indexed citations
6.
Mukri, Ganapati, B N Motagi, Jayant S. Bhat, et al.. (2022). Genetic variability, combining ability and molecular diversity-based parental line selection for heterosis breeding in field corn (Zea mays L.). Molecular Biology Reports. 49(6). 4517–4524. 11 indexed citations
7.
Pooniya, Vijay, Dinesh Kumar, Yashbir Singh Shivay, et al.. (2022). Conservation agriculture based integrated crop management sustains productivity and economic profitability along with soil properties of the maize-wheat rotation. Scientific Reports. 12(1). 1962–1962. 24 indexed citations
8.
Das, Abhijit Kumar, Dharam Paul Chaudhary, Chikkappa G. Karjagi, et al.. (2021). Identification of potential donor for pro-vitamin A using functional markers in maize (Zea mays L). Indian Journal of Genetics and Plant Breeding (The). 81(1). 50–55. 1 indexed citations
9.
Mukri, Ganapati, et al.. (2021). Evaluation of inbred lines derived from commercial hybrids and their utilization in developing high yielding field corn (Zea mays L.) hybrids. Maydica. 65(3). 9. 1 indexed citations
10.
Mukri, Ganapati, et al.. (2021). Molecular characterization and multi-environmental evaluation of field corn (Zea mays) inbreds for kernel traits. The Indian Journal of Agricultural Sciences. 91(11). 1622–1626. 2 indexed citations
11.
Kaul, Jyoti, et al.. (2018). Genomics-Enabled Next-Generation Breeding Approaches for Developing System-Specific Drought Tolerant Hybrids in Maize. Frontiers in Plant Science. 9. 361–361. 43 indexed citations
12.
Mukri, Ganapati, Ramesh Kumar, Bhupender Kumar, et al.. (2018). Strategic selection of white maize inbred lines for tropical adaptation and their utilization in developing stable, medium to long duration maize hybrids. Maydica. 63(2). 8. 4 indexed citations
13.
Kumar, Ramesh, et al.. (2017). Multivariate Analysis for Yield and Its Component Traits in Experimental Maize Hybrids. Journal of Agricultural Science. 9(3). 219–219. 2 indexed citations
14.
Mukri, Ganapati, et al.. (2016). Pollen Fertility and Seed Setting: Their Role in Deciding the Yield of Sorghum (Sorghum bicolor (L) Moench) under Low Temperature Regimes. SHILAP Revista de lepidopterología. 7(6). 1377–1382. 1 indexed citations
15.
Nadaf, H. L., M. V. C. Gowda, Ramesh Bhat, et al.. (2014). Marker detection and genetic analysis for rust resistance of recombinant and backcross inbred lines in groundnut ( Arachis hypogaea L.). Indian Journal of Genetics and Plant Breeding (The). 74(2). 213–213. 4 indexed citations
16.
Kumar, Rajeev, Ganapati Mukri, Bilal Ahmad, et al.. (2014). Assessment of genotype × environment interactions for grain yield in maize hybrids in rainfed environments.. SABRAO Journal of Breeding and Genetics. 46(2). 284–292. 6 indexed citations
17.
Mukri, Ganapati. (2014). Nutrition and fatty acid composition in different botanical groups of groundnut (Arachis hypogaea. L) in ICRISAT mini core collection. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Mukri, Ganapati, et al.. (2014). Nutrition and fatty acid composition in different botanical groups of groundnut (Arachis hypogaea. L) in ICRISAT mini core collection. Electronic Journal of Plant Breeding. 5(3). 489–494. 1 indexed citations
19.
Mukri, Ganapati, et al.. (2014). Genetic diversity analysis based on nutritional, oil quality and yield component traits in mini core collection of groundnut (Arachis hypogaea L.). 1 indexed citations
20.
Mukri, Ganapati, et al.. (2010). Influence of different temperature regimes on seed setting behavior and productivity traits in rabi sorghum. Electronic Journal of Plant Breeding. 1(4). 1042–1048. 1 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.

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