Anurodh Sharma

545 citations
30 papers · 369 indexed · h-index 11
Topics
Genetic and phenotypic traits in livestock (21 papers)Genetic Mapping and Diversity in Plants and Animals (12 papers)Genetic diversity and population structure (8 papers)
Partner nations
IndiaChinaUnited States

In The Last Decade

Anurodh Sharma

28 papers receiving 352 citations

Peers

Anurodh Sharma
Comparison fields: 5 of 39
  • Genetics 323
  • Agronomy and Crop Science 114
  • Cancer Research 78
  • Molecular Biology 52
  • Animal Science and Zoology 41
Replace Jayakumar Sivalingam with:
Jayakumar Sivalingam India
Nina Moravčí­ková Slovakia
Ramesh Kumar Vijh India
Ahmad Ayatollahi Mehrgardi Iran
Mohsen Jafarikia Canada
Riikka Velmala Finland
Arianna Manunza Spain
Tianle Chao China
Marina Selionova Russia
Slim Ben Jemaa Tunisia
Anurodh Sharma relative to Jayakumar Sivalingam India Jayakumar Sivalingam's profile →
Citations per field
00.5×1.5×1.9×
Jayakumar Sivalingam · 1×
Citations per year

Countries citing papers authored by Anurodh Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anurodh Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurodh Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Anurodh Sharma. A scholar is included among the top collaborators of Anurodh Sharma 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 Anurodh Sharma. Anurodh Sharma 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
#WorkIndexed citations
1 0
2 0
3 5
4 6
5 6
6 10
7 3
8 4
9 2
10 23
11 18
12 23
13 69
14 6
15 17
16 3
17 4
18
Phenotypic characteristics, management, performance and genetic variability in Surti breed of goat
6
19 5
20 4

About Anurodh Sharma

Anurodh Sharma is a scholar working on Agronomy and Crop Science, Genetics and Cancer Research, having authored 30 papers that have together received 369 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetic diversity and population structure (8 papers). The work is most often cited by research in Genetics (323 citations), Agronomy and Crop Science (114 citations) and Cancer Research (78 citations). Anurodh Sharma has collaborated with scholars based in India, China and United States. Frequent co-authors include S. P. Dixit, Jayakumar Sivalingam, Triveni Dutt, Manjit Panigrahi, Sonali Sonejita Nayak, Divya Rajawat, Naresh K. Verma, Bharat Bhushan, Jyoti Rana and Indrajit Ganguly. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Gene.

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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