V. G. Malathi

767 total citations
45 papers, 483 citations indexed

About

V. G. Malathi is a scholar working on Plant Science, Insect Science and Endocrinology. According to data from OpenAlex, V. G. Malathi has authored 45 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 10 papers in Insect Science and 8 papers in Endocrinology. Recurrent topics in V. G. Malathi's work include Plant Virus Research Studies (38 papers), Plant Disease Resistance and Genetics (10 papers) and Agricultural pest management studies (10 papers). V. G. Malathi is often cited by papers focused on Plant Virus Research Studies (38 papers), Plant Disease Resistance and Genetics (10 papers) and Agricultural pest management studies (10 papers). V. G. Malathi collaborates with scholars based in India, Iran and Italy. V. G. Malathi's co-authors include Q. M. I. Haq, Arif Ali, Surendranath Baliji, I. D. Garg, Pradeep Sharma, Anupam Varma, P. Renukadevi, Kajal Kumar Biswas, Narayan Rishi and Muthu Periasamy and has published in prestigious journals such as Theoretical and Applied Genetics, Archives of Virology and Euphytica.

In The Last Decade

V. G. Malathi

44 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. G. Malathi India 13 468 103 100 64 34 45 483
C. A. Baker United States 11 380 0.8× 123 1.2× 117 1.2× 53 0.8× 47 1.4× 38 405
Kae Sueda Japan 7 501 1.1× 155 1.5× 99 1.0× 101 1.6× 24 0.7× 8 522
Carolina S. Rocha Brazil 9 365 0.8× 76 0.7× 75 0.8× 100 1.6× 31 0.9× 9 417
P. Chiemsombat Thailand 12 335 0.7× 105 1.0× 83 0.8× 63 1.0× 39 1.1× 28 359
Gilvan Pio‐Ribeiro Brazil 12 484 1.0× 77 0.7× 85 0.8× 145 2.3× 69 2.0× 34 516
Félix A. Atencio Spain 5 336 0.7× 111 1.1× 68 0.7× 106 1.7× 13 0.4× 8 370
Gustavo Romay Venezuela 11 393 0.8× 104 1.0× 105 1.1× 60 0.9× 57 1.7× 43 414
E. Segundo Spain 13 400 0.9× 93 0.9× 126 1.3× 35 0.5× 44 1.3× 23 410
Nirbhay Kumar Kushwaha India 11 469 1.0× 84 0.8× 93 0.9× 109 1.7× 34 1.0× 14 486
Cuong Viet Ha Vietnam 9 402 0.9× 111 1.1× 73 0.7× 60 0.9× 61 1.8× 18 412

Countries citing papers authored by V. G. Malathi

Since Specialization
Citations

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

Fields of papers citing papers by V. G. Malathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. G. Malathi. 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 V. G. Malathi. The network helps show where V. G. Malathi may publish in the future.

Co-authorship network of co-authors of V. G. Malathi

This figure shows the co-authorship network connecting the top 25 collaborators of V. G. Malathi. A scholar is included among the top collaborators of V. G. Malathi 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 V. G. Malathi. V. G. Malathi 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.
Malathi, V. G., et al.. (2022). Molecular epidemiology on seasonal variation of yellow mosaic disease incidence in blackgram (Vigna mungo L. Hepper) with its vector Bemisia tabaci. International Journal of Biometeorology. 66(10). 1985–1995. 2 indexed citations
2.
Sangeetha, B., et al.. (2020). Antiviral potential of Mirabilis jalapa root extracts against groundnut bud necrosis virus. Journal of Entomology and Zoology Studies. 8(1). 955–961.
3.
Suganthy, M., et al.. (2016). New Record of Western Flower Thrips, Frankliniella occidentalis (Pergande) (Thysanoptera: Thripidae) in South India. International Journal of Environment Agriculture and Biotechnology. 1(4). 857–867. 6 indexed citations
4.
Renukadevi, P., et al.. (2016). Occurrence, biological and serological assay of Tobacco streak virus infecting cotton in Tamil Nadu.. JOURNAL OF MYCOLOGY AND PLANT PATHOLOGY. 46(2). 159–168. 4 indexed citations
5.
Kumar, Ajay, et al.. (2015). Molecular Characterization of Viroid Associated with Tapping Panel Dryness Syndrome of Hevea brasiliensis from India. Current Science. 108(8). 1520–1527. 1 indexed citations
6.
Suresh, L. M., V. G. Malathi, & M. B. Shivanna. (2013). Molecular detection of begomoviruses associated with a new yellow leaf crumple disease of cucumber in Maharashtra, India. Indian Phytopathology. 66(3). 294–301. 1 indexed citations
7.
Biswas, Kajal Kumar, et al.. (2012). Evaluation of urdbean cultivars for identification of resistance to leaf crinkle disease by mechanical sap inoculation. Indian Phytopathology. 65(4). 416–417. 8 indexed citations
8.
Tiwari, Neha, Pradeep Sharma, & V. G. Malathi. (2012). Functional characterization of βC1 gene of Cotton leaf curl Multan betasatellite. Virus Genes. 46(1). 111–119. 7 indexed citations
9.
10.
Aggarwal, Rashmi, Renu Renu, P. Srinivas, & V. G. Malathi. (2010). Assessment of genetic diversity in Chaetomium globosum, a potential biocontrol agent by Amplified Fragment Length Polymorphism.. Indian Phytopathology. 63(1). 2–5. 2 indexed citations
11.
Amudha, J., et al.. (2010). Cotton transgenics with Antisense AC1 gene for resistance against cotton leaf curl virus. Electronic Journal of Plant Breeding. 1(4). 360–369. 8 indexed citations
12.
Tiwari, Neha, K Padmalatha, V. B. Singh, Q. M. I. Haq, & V. G. Malathi. (2010). Tomato leaf curl Bangalore virus (ToLCBV): infectivity and enhanced pathogenicity with diverse betasatellites. Archives of Virology. 155(8). 1343–1347. 24 indexed citations
13.
Malathi, V. G., et al.. (2008). Molecular markers for differentiating the populations of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae), vector of begomoviruses. Indian Phytopathology. 61(2). 252–258. 1 indexed citations
14.
Sivalingam, Palaiyur Nanjappan, et al.. (2007). Detection of begomoviruses by PCR in weeds and crop plants in and around cotton field infected with cotton leaf curl disease.. Indian Phytopathology. 60(3). 356–361. 2 indexed citations
15.
Periasamy, Muthu, et al.. (2006). Multiplex RT-PCR, a novel technique for the simultaneous detection of the DNA and RNA viruses causing rice tungro disease. Journal of Virological Methods. 134(1-2). 230–236. 23 indexed citations
16.
Gogoi, Robin, et al.. (2005). Differentiation of Karnal bunt resistant and susceptible cultivars of wheat using RAPD. Indian Phytopathology. 58(2). 157–162. 3 indexed citations
17.
18.
Radhakrishnan, Girish, V. G. Malathi, & Ashok K. Varma. (2004). Biological characterization of an isolate of Cotton leaf curl Rajasthan virus from northern India and identification of sources of resistance. Indian Phytopathology. 57(2). 174–180. 6 indexed citations
19.
Baranwal, V. K., et al.. (2004). Banana streak virus from India and its detection by polymerase chain reaction.. Indian Journal of Biotechnology. 3(3). 409–413. 7 indexed citations
20.
Srinivasan, K., V. G. Malathi, P. B. Kirti, Shyam Prakash, & V. L. Chopra. (1998). Generation and characterisation of monosomic chromosome addition lines of Brassica campestris - B. oxyrrhina. Theoretical and Applied Genetics. 97(5-6). 976–981. 15 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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