V. N. Waghmare

482 total citations
39 papers, 270 citations indexed

About

V. N. Waghmare is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, V. N. Waghmare has authored 39 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 12 papers in Molecular Biology and 11 papers in Insect Science. Recurrent topics in V. N. Waghmare's work include Research in Cotton Cultivation (14 papers), Insect-Plant Interactions and Control (9 papers) and Insect Resistance and Genetics (9 papers). V. N. Waghmare is often cited by papers focused on Research in Cotton Cultivation (14 papers), Insect-Plant Interactions and Control (9 papers) and Insect Resistance and Genetics (9 papers). V. N. Waghmare collaborates with scholars based in India, United States and Egypt. V. N. Waghmare's co-authors include Nandini Gokte‐Narkhedkar, R. B. Mehra, V. S. Nagrare, Dipak T. Nagrale, S. P. Gawande, Babasaheb B. Fand, Rishi Kumar, Pooja Verma, S. Kranthi and D. Blaise and has published in prestigious journals such as Scientific Reports, Plant Disease and European Journal of Plant Pathology.

In The Last Decade

V. N. Waghmare

36 papers receiving 251 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. N. Waghmare India 10 199 125 95 17 15 39 270
Trinh Xuan Hoat Vietnam 9 263 1.3× 74 0.6× 69 0.7× 60 3.5× 9 0.6× 30 312
Suresh M. Nebapure India 9 199 1.0× 100 0.8× 97 1.0× 17 1.0× 11 0.7× 53 258
Andreas von Felten Switzerland 7 239 1.2× 78 0.6× 59 0.6× 23 1.4× 9 0.6× 9 316
Ramasamy Kanagaraj Murali‐Baskaran India 10 219 1.1× 105 0.8× 182 1.9× 16 0.9× 15 1.0× 18 331
Mildred Ochwo‐Ssemakula Uganda 12 340 1.7× 40 0.3× 36 0.4× 27 1.6× 29 1.9× 44 374
Rishi Kumar India 14 282 1.4× 190 1.5× 291 3.1× 8 0.5× 20 1.3× 55 441
Buncha Chinnasri Thailand 9 256 1.3× 81 0.6× 109 1.1× 18 1.1× 10 0.7× 28 293
Victor Phani India 11 432 2.2× 81 0.6× 143 1.5× 18 1.1× 16 1.1× 41 496
Isabelle Robeǹe France 9 246 1.2× 72 0.6× 60 0.6× 45 2.6× 8 0.5× 26 301
Adriano Arrué Melo Brazil 8 174 0.9× 165 1.3× 197 2.1× 7 0.4× 11 0.7× 24 295

Countries citing papers authored by V. N. Waghmare

Since Specialization
Citations

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

Fields of papers citing papers by V. N. Waghmare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. N. Waghmare

This figure shows the co-authorship network connecting the top 25 collaborators of V. N. Waghmare. A scholar is included among the top collaborators of V. N. Waghmare 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. N. Waghmare. V. N. Waghmare 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.
Nagrare, V. S., Satnam Singh, Satpal Singh, et al.. (2025). Evaluation of transgenic cotton lines expressing an insecticidal fern protein against whitefly, Bemisia tabaci (Gennadius). Journal of Cotton Research. 8(1). 1 indexed citations
2.
3.
Nagrare, V. S., et al.. (2024). Genetic diversity and species prevalence revealed by Mitochondrial COI- DNA sequence of thrips population in cotton. Journal of Environmental Biology. 45(6). 737–747. 1 indexed citations
4.
Nagrale, Dipak T., et al.. (2022). Biocontrol potential of volatile organic compounds (VOCs) produced by cotton endophytic rhizobacteria against Macrophomina phaseolina. European Journal of Plant Pathology. 163(2). 467–482. 11 indexed citations
5.
Das, Joy, S. P. Gawande, J. Annie Sheeba, et al.. (2021). Genome-wide identification and expression analysis of the plant specific LIM genes in Gossypium arboreum under phytohormone, salt and pathogen stress. Scientific Reports. 11(1). 9177–9177. 4 indexed citations
6.
Fand, Babasaheb B., et al.. (2021). Degree day-based model predicts pink bollworm phenology across geographical locations of subtropics and semi-arid tropics of India. Scientific Reports. 11(1). 436–436. 9 indexed citations
7.
Velmourougane, K., et al.. (2021). ENVIRONMENTAL IMPACTS OF HERBICIDE TOLERANT CROPS AND GLYPHOSATE-BASED HERBICIDES – A REVIEW. Applied Ecology and Environmental Research. 19(5). 3481–3504. 11 indexed citations
8.
9.
Verma, SK, et al.. (2020). GMS-CISG 20 - a new genetic male sterile line of diploid cotton (Gossypium arboreum L.) with marker trait.. Journal of Cotton Research and Development. 34(1). 46–49. 1 indexed citations
10.
Sheeba, J. Annie, et al.. (2020). Morpho-physiological and molecular characterization of drought tolerance traits in Gossypium hirsutum genotypes under drought stress. Physiology and Molecular Biology of Plants. 26(12). 2339–2353. 10 indexed citations
11.
Verma, Pooja, et al.. (2020). Identification of oviposition deterrents from pink bollworm, Pectinophora gossypiella(Saunders). Journal of Environmental Biology. 41(3). 644–649. 7 indexed citations
12.
Kranthi, S., et al.. (2020). Evidence for population expansion of Cotton pink bollworm Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae) in India. Scientific Reports. 10(1). 4740–4740. 21 indexed citations
13.
Gawande, S. P., et al.. (2020). First Report of Colletotrichum siamense Causing Leaf Anthracnose on Cotton in India. Plant Disease. 104(7). 2025–2025. 6 indexed citations
14.
Waghmare, V. N.. (2019). Phytochemical constituents and bioactivity of extract obtained from algae Gelidium spps. IJAR - Indian Journal of Applied Research. 2 indexed citations
15.
Waghmare, V. N., et al.. (2010). Genetic diversity analysis of some exotic, Indian and mutant Brassica sp. through RAPD markers.. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(26). 3981–3987. 6 indexed citations
16.
Waghmare, V. N., et al.. (2001). An induced fasciated mutant in grasspea (Lathyrus sativus L.). Indian Journal of Genetics and Plant Breeding (The). 61(2). 155–157. 1 indexed citations
17.
Waghmare, V. N. & R. B. Mehra. (2001). Induced chlorophyll mutations, mutagenic effectiveness and efficiency in Lathyrus sativus L.. Indian Journal of Genetics and Plant Breeding (The). 61(1). 53–56. 20 indexed citations
18.
Waghmare, V. N., et al.. (2000). Inheritance of lint colour in desi cotton (Gossypium arboreum L.).. Indian Journal of Genetics and Plant Breeding (The). 60(4). 495–502. 2 indexed citations
19.
Waghmare, V. N. & R. B. Mehra. (2000). Induced genetic variability for quantitative characters in grasspea (Iathyrus sativus L.). Indian Journal of Genetics and Plant Breeding (The). 60(1). 81–87. 8 indexed citations
20.
Waghmare, V. N., et al.. (1998). Coloured cotion present status, problems and future potentials. Indian Journal of Genetics and Plant Breeding (The). 58(1). 1–15. 6 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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