Ramasamy Perumal

3.1k citations
82 papers · 2.0k indexed · h-index 27
Topics
Bioenergy crop production and management (23 papers)Genetic Mapping and Diversity in Plants and Animals (20 papers)Plant Pathogens and Fungal Diseases (20 papers)

In The Last Decade

Ramasamy Perumal

81 papers receiving 2.0k citations

Peers

Ramasamy Perumal
Comparison fields: 5 of 100
  • Plant Science 1.4k
  • Genetics 536
  • Agronomy and Crop Science 522
  • Molecular Biology 407
  • Cell Biology 246
Replace María Carlota Vaz Patto with:
María Carlota Vaz Patto Portugal
G. M. Arnold United Kingdom
A. Ordás Spain
Gilles Charmet France
Е. К. Хлесткина Russia
Eyal Fridman Israel
Guusje Bonnema Netherlands
Jong‐Wook Chung South Korea
N. W. Widstrom United States
Laura Rossini Italy
Ramasamy Perumal relative to María Carlota Vaz Patto Portugal María Carlota Vaz Patto's profile →
Citations per field
00.5×1.5×2.1×
María Carlota Vaz Patto · 1×
Citations per year

Countries citing papers authored by Ramasamy Perumal

Since Specialization
Citations

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

Fields of papers citing papers by Ramasamy Perumal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramasamy Perumal

This figure shows the co-authorship network connecting the top 25 collaborators of Ramasamy Perumal. A scholar is included among the top collaborators of Ramasamy Perumal 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 Ramasamy Perumal. Ramasamy Perumal 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 10
3 8
4 6
5 7
6 48
7 44
8 33
9 52
10 13
11
Assessing the Vulnerability of Sorghum Converted Lines to Anthracnose and Downy Mildew Infection
5
12
Female Criminality in India: Prevalence, Causes and Preventive Measures 1
7
13 4
14 34
15
Sorghum pathology and biotechnology - a fungal disease perspective: Part II. Anthracnose, stalk rot, and downy mildew
37
16 13
17 12
18 22
19 28
20 26

About Ramasamy Perumal

Ramasamy Perumal is a scholar working on Agronomy and Crop Science, Biochemistry and Plant Science, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bioenergy crop production and management (23 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Plant Pathogens and Fungal Diseases (20 papers). The work is most often cited by research in Agronomy and Crop Science (522 citations), Plant Science (1.4k citations) and Biochemistry (149 citations). Ramasamy Perumal has collaborated with scholars based in United States, Puerto Rico and India. Frequent co-authors include P. V. Vara Prasad, M. Djanaguiraman, Ignacio A. Ciampitti, S. V. Krishna Jagadish, Louis K. Prom, Tesfaye Tesso, Clint Magill, Thomas J. Herald, Scott R. Bean and Dmitriy Smolensky. Their work appears in journals such as PLoS ONE, Scientific Reports and Genetics.

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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