Avinash Pandey

630 total citations
64 papers, 447 citations indexed

About

Avinash Pandey is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Avinash Pandey has authored 64 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 30 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Avinash Pandey's work include Genetic and phenotypic traits in livestock (18 papers), Genetic diversity and population structure (16 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Avinash Pandey is often cited by papers focused on Genetic and phenotypic traits in livestock (18 papers), Genetic diversity and population structure (16 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Avinash Pandey collaborates with scholars based in India, United States and Brazil. Avinash Pandey's co-authors include Sonika Ahlawat, Rekha Sharma, Amit Kumar, A. Pattanayak, Mayank Rai, I. S. Bisht, Wricha Tyagi, Rekha Sharma, B. Prakash and V. Dinesh Kumar and has published in prestigious journals such as Frontiers in Plant Science, Ecological Indicators and Genomics.

In The Last Decade

Avinash Pandey

58 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avinash Pandey India 12 234 205 74 69 43 64 447
Сауле Абугалиева Kazakhstan 14 220 0.9× 493 2.4× 133 1.8× 101 1.5× 23 0.5× 76 611
Sally Norton Australia 11 93 0.4× 363 1.8× 83 1.1× 79 1.1× 38 0.9× 26 446
B. P. Singh India 9 189 0.8× 530 2.6× 148 2.0× 29 0.4× 15 0.3× 45 623
K. V. Prabhu India 13 227 1.0× 613 3.0× 149 2.0× 66 1.0× 23 0.5× 36 695
Peterson Wambugu Kenya 12 247 1.1× 389 1.9× 154 2.1× 18 0.3× 66 1.5× 19 541
Pierre Montalent France 9 378 1.6× 516 2.5× 136 1.8× 52 0.8× 59 1.4× 10 670
Arpita Das India 13 45 0.2× 494 2.4× 91 1.2× 59 0.9× 34 0.8× 53 555
Monica Rodriguez Italy 18 209 0.9× 960 4.7× 128 1.7× 136 2.0× 42 1.0× 30 1.1k
C.V. Sameer Kumar India 14 103 0.4× 637 3.1× 82 1.1× 59 0.9× 14 0.3× 75 684
Fabio Pedraza United States 11 147 0.6× 1.1k 5.5× 56 0.8× 149 2.2× 22 0.5× 15 1.2k

Countries citing papers authored by Avinash Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avinash Pandey

This figure shows the co-authorship network connecting the top 25 collaborators of Avinash Pandey. A scholar is included among the top collaborators of Avinash Pandey 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 Avinash Pandey. Avinash Pandey 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
1.
Lal, Shambhu Krishan, Sudhir Kumar, Mallana Gowdra Mallikarjuna, et al.. (2024). Recent Advancements in Nitrogen Use Efficiency in Crop Plants Achieved by Genomics and Targeted Genetic Engineering Approaches. Plant Molecular Biology Reporter. 42(3). 435–449. 2 indexed citations
2.
3.
Kumar, Amit, Cedric Gondro, Andrea Romero, et al.. (2021). Identification of genes affecting milk fat and fatty acid composition in Vrindavani crossbred cattle using 50 K SNP-Chip. Tropical Animal Health and Production. 53(3). 347–347. 11 indexed citations
4.
Gayacharan, C., et al.. (2018). Population structure of some indigenous aromatic rice ( Oryza sativa L.) landraces of India. Indian Journal of Biotechnology. 17(1). 110–117. 3 indexed citations
5.
Gayacharan, C., et al.. (2015). Population structure of upland red rice ( Oryza sativa L.) landraces from North-western Indian Himalayas. Indian Journal of Biotechnology. 14(1). 42–48. 4 indexed citations
6.
Raje, R.S., et al.. (2015). Assessment of genetic diversity based on agro-morphological traits and genic microsatellite markers in inter-specific derivatives and cultivars of pigeonpea. Indian Journal of Genetics and Plant Breeding (The). 75(2). 215–215. 2 indexed citations
7.
Jérome, A., Avinash Pandey, & Susheel Kumar Sarkar. (2015). Homology modeling of single nuleotide polymorphisms in candidate genes controlling embryonic growth of buffalo. The Indian Journal of Animal Sciences. 85(6).
8.
Kumar, Rakesh, Dibyendu Chatterjee, Narendra Kumawat, et al.. (2014). Productivity, quality and soil health as influenced by lime in ricebean cultivars in foothills of northeastern India. The Crop Journal. 2(5). 338–344. 14 indexed citations
9.
Kumar, Amit, Avinash Pandey, & A. Pattanayak. (2013). Evaluation of rice germplasm under jhum cultivation in North East India and breeding for Aluminium tolerance. Indian Journal of Genetics and Plant Breeding (The). 73(2). 153–153. 5 indexed citations
10.
Pandey, Avinash, et al.. (2013). Studies on endophytic fungi associated with Jatropha curcas.. 29(4). 68–71. 2 indexed citations
11.
Pandey, Avinash, et al.. (2011). Microsatellite based genetic characterization of Motu cattle. The Indian Journal of Animal Sciences. 81(5). 2 indexed citations
12.
Pandey, Avinash, et al.. (2011). Estimation of genetic variability parameters in Kumaun hill cattle (Kumauni cattle) by STR markers. The Indian Journal of Animal Sciences. 81(2). 1 indexed citations
13.
Pandey, Avinash, et al.. (2010). Screening of antifungal activities in Trichoderma isolates against some soil borne plant pathogens.. National Academy Science Letters. 33. 285–288. 1 indexed citations
14.
Sharma, Rekha, Avinash Pandey, A. Maitra, et al.. (2010). Microsatellite based diversity estimation of Changthangi - a high altitude sheep breed of India.. The Indian Journal of Animal Sciences. 80(5). 436–440. 9 indexed citations
15.
Pandey, Avinash, et al.. (2010). Antagonistic Efficacy of Paecilomyces lilacinus and Verticillium chlamydosporium Against Meloidogyne incognita infecting Okra. Indian Journal Of Nematology. 40(1). 113–113. 6 indexed citations
16.
Sharma, Rekha, Avinash Pandey, B. Prakash, et al.. (2009). Genetic diversity of ganjam goat by microsatellite markers. The Indian Veterinary Journal. 86(3). 275–277. 5 indexed citations
17.
Sharma, Rekha, Avinash Pandey, V. Dinesh Kumar, Shafiul Alam, & Sonika Ahlawat. (2008). Genetic variation in Beetal goat breed assest by microsatellite DNA profiling. The Indian Journal of Animal Sciences. 78(5). 1 indexed citations
18.
Pandey, Avinash, et al.. (2008). Genetic variability in Rampur Bushair sheep breed using microsatellites markers. The Indian Journal of Animal Sciences. 78(6). 1 indexed citations
19.
Pandey, Avinash, et al.. (2007). Variation in seed characteristics of Jatropha curcas (Ratanjot) collected from different regions of India.. 23. 40–46. 1 indexed citations
20.
Sharma, Rekha, et al.. (2006). Assessment of Genetic Variability in Gangatiri Cattle by Microsatellite Markers. 28(1). 35–42. 8 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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