Vikas Jindal

1.2k total citations
64 papers, 810 citations indexed

About

Vikas Jindal is a scholar working on Insect Science, Plant Science and Molecular Biology. According to data from OpenAlex, Vikas Jindal has authored 64 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Insect Science, 27 papers in Plant Science and 19 papers in Molecular Biology. Recurrent topics in Vikas Jindal's work include Insect-Plant Interactions and Control (24 papers), Insect Resistance and Genetics (18 papers) and Insect and Pesticide Research (14 papers). Vikas Jindal is often cited by papers focused on Insect-Plant Interactions and Control (24 papers), Insect Resistance and Genetics (18 papers) and Insect and Pesticide Research (14 papers). Vikas Jindal collaborates with scholars based in India, United States and China. Vikas Jindal's co-authors include G. S. Dhaliwal, A. K. Dhawan, Kousik Mandal, Monu Jariyal, Vipan Gupta, Balwinder Singh, Sajjan Grover, Gurpreet Kaur, Olivier Christiaens and Clauvis Nji Tizi Taning and has published in prestigious journals such as Scientific Reports, Environmental Science and Pollution Research and Gastrointestinal Endoscopy.

In The Last Decade

Vikas Jindal

56 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikas Jindal India 14 374 352 250 103 59 64 810
David Hughes United Kingdom 15 626 1.7× 110 0.3× 348 1.4× 194 1.9× 66 1.1× 31 1.1k
Ana Paula Ramos Portugal 14 358 1.0× 46 0.1× 174 0.7× 43 0.4× 42 0.7× 41 668
Sara Cuadros-Orellana Brazil 12 154 0.4× 59 0.2× 211 0.8× 50 0.5× 33 0.6× 42 542
Antonia Bruno Italy 19 124 0.3× 95 0.3× 308 1.2× 56 0.5× 53 0.9× 35 783
Gerardo Vázquez‐Marrufo Mexico 12 172 0.5× 54 0.2× 93 0.4× 34 0.3× 38 0.6× 54 493
Andrew J. Evenden United Kingdom 11 236 0.6× 26 0.1× 157 0.6× 96 0.9× 34 0.6× 14 635
VK Singh India 14 261 0.7× 52 0.1× 140 0.6× 9 0.1× 52 0.9× 71 742
Pengjun Xu China 18 284 0.8× 455 1.3× 333 1.3× 91 0.9× 71 1.2× 63 909
Jong‐Hee Lee South Korea 17 836 2.2× 80 0.2× 146 0.6× 23 0.2× 94 1.6× 105 983
D.C. Naseby United Kingdom 13 452 1.2× 50 0.1× 183 0.7× 84 0.8× 19 0.3× 21 735

Countries citing papers authored by Vikas Jindal

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Jindal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Jindal

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Jindal. A scholar is included among the top collaborators of Vikas Jindal 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 Vikas Jindal. Vikas Jindal 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.
Jindal, Vikas, et al.. (2025). CAPA Neuropeptide and Its Receptor in Insects: A Mini Review. Archives of Insect Biochemistry and Physiology. 118(5). e70061–e70061.
2.
Park, Yoonseong, et al.. (2024). The functional assay identified authentic interactions between CAPA peptides and the CAPA receptor isoforms in Bemisia tabaci (Gennadius). Pesticide Biochemistry and Physiology. 200. 105840–105840. 1 indexed citations
3.
Jindal, Vikas, et al.. (2024). Knockout of ecdysis triggering hormone receptor (ETHr) gene adversely affects the nymphal molting and adult reproduction in Bemisia tabaci. Pesticide Biochemistry and Physiology. 199. 105766–105766.
4.
Sharma, Manish & Vikas Jindal. (2023). Approximation techniques for apple disease detection and prediction using computer enabled technologies: A review. Remote Sensing Applications Society and Environment. 32. 101038–101038. 12 indexed citations
5.
Jindal, Vikas, et al.. (2022). Multi-Class Diagnosis of Skin Cancer Using Residual Networks. 1170–1174. 1 indexed citations
6.
Anand, Abhinav, Sagnik Biswas, Shivanand Gamanagatti, et al.. (2021). Clinical Utility of Transient Elastography in the Management of Patients with Budd-Chiari Syndrome Undergoing Endovascular Intervention. Journal of Vascular and Interventional Radiology. 33(3). 268–277.e3. 2 indexed citations
7.
Anand, Abhinav, Anshuman Elhence, Vikas Jindal, et al.. (2020). FibroScan–aspartate aminotransferase score in an Asian cohort of non‐alcoholic fatty liver disease and its utility in predicting histological resolution with bariatric surgery. Journal of Gastroenterology and Hepatology. 36(5). 1309–1316. 13 indexed citations
8.
Jindal, Vikas, et al.. (2019). Biochemical mechanisms and molecular analysis of fenvalerate resistant population of Spodoptera litura (Fabricius). Crop Protection. 127. 104951–104951. 16 indexed citations
9.
Singh, Satnam, et al.. (2018). Molecular analysis of fenazaquin selected resistant strain of two-spotted spider mite Tetranychus urticae Koch.. Indian Journal of Biotechnology. 17(4). 602–610. 2 indexed citations
10.
Grover, Sajjan, et al.. (2018). Potential of RNA interference in the study and management of the whitefly, Bemisia tabaci. Archives of Insect Biochemistry and Physiology. 100(2). e21522–e21522. 36 indexed citations
11.
Singla, Neena, et al.. (2017). Studies on bromadiolone resistance in Rattus rattus populations from Punjab, India. Pesticide Biochemistry and Physiology. 139. 24–31. 10 indexed citations
12.
Arora, Ramesh, et al.. (2015). Beet armyworm Spodoptera exigua (Hubner): A newly emerging pest of Egyptian clover in Punjab. Range Management and Agroforestry. 36(2). 170–174. 3 indexed citations
13.
Gupta, Vikrant, et al.. (2010). SCAR markers for identification of host plant specificity in whitefly, Bemisia tabaci (Genn.). Indian Journal of Biotechnology. 9(4). 360–366. 2 indexed citations
14.
Jindal, Vikas, et al.. (2010). Oviposition site preference by Pieris brassicae (Linnaeus) on rapeseed - mustard genotypes.. 23(3). 269–274. 1 indexed citations
15.
Dhaliwal, G. S., Vikas Jindal, & A. K. Dhawan. (2010). Insect pest problems and crop losses: changing trends.. Indian Journal of Ecology. 37(1). 1–7. 189 indexed citations
16.
Jindal, Vikas, et al.. (2009). Record of parasitoid on mealy bug Phenacoccus solenopsis in tomato.. Indian Journal of Ecology. 36(1). 101–102. 5 indexed citations
17.
Khan, Rehan, Virinder Kumar Bansal, Subodh Kumar, et al.. (2009). Duodenal gastrinoma: a diagnostic dilemma. The American Journal of Surgery. 197(5). e48–e50. 6 indexed citations
18.
Jindal, Vikas, Vikram Singh, & Ramesh Arora. (2007). Evaluation of New Molecules against Bollworm Complex of Cotton. Pesticide Research Journal. 19(1). 30–33. 1 indexed citations
19.
Singh, Kulvir, et al.. (2007). Performance of Bt cotton hybrids under different geometrical arrangements.. Journal of Cotton Research and Development. 21(1). 41–44. 8 indexed citations
20.
Jindal, Vikas, et al.. (2007). Screening of cotton genotypes for resistance to sucking pests. Annals of Plant Protection Sciences. 15(1). 26–29.

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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