D. Monga

1.2k total citations
103 papers, 802 citations indexed

About

D. Monga is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, D. Monga has authored 103 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Plant Science, 33 papers in Molecular Biology and 30 papers in Insect Science. Recurrent topics in D. Monga's work include Insect Resistance and Genetics (26 papers), Research in Cotton Cultivation (25 papers) and Plant Virus Research Studies (23 papers). D. Monga is often cited by papers focused on Insect Resistance and Genetics (26 papers), Research in Cotton Cultivation (25 papers) and Plant Virus Research Studies (23 papers). D. Monga collaborates with scholars based in India, United States and Malaysia. D. Monga's co-authors include S. Kranthi, Rishi Kumar, L. N. Mohapatra, Satish Kumar Sain, K. R. Kranthi, Dipak T. Nagrale, Radha Prasanna, Ramesh Kumar, Anil Kumar Saxena and Ngangom Bidyarani and has published in prestigious journals such as Journal of Clinical Microbiology, Infection and Immunity and Applied Microbiology and Biotechnology.

In The Last Decade

D. Monga

95 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Monga India	16	470	224	188	131	90	103	802
İkbal Agah İnce Türkiye	17	284 0.6×	246 1.1×	347 1.8×	80 0.6×	70 0.8×	35	851
Michel Dollet France	19	931 2.0×	488 2.2×	143 0.8×	418 3.2×	29 0.3×	124	1.3k
Robert Manasherob Israel	19	291 0.6×	537 2.4×	863 4.6×	50 0.4×	82 0.9×	38	1.2k
Peter Olsen Denmark	12	159 0.3×	104 0.5×	287 1.5×	38 0.3×	27 0.3×	15	610
P. Kastelein Netherlands	21	1.3k 2.7×	133 0.6×	161 0.9×	61 0.5×	86 1.0×	61	1.7k
S. P. Frances Australia	20	449 1.0×	302 1.3×	118 0.6×	29 0.2×	140 1.6×	54	1.1k
Claudia Moreno Colombia	8	120 0.3×	116 0.5×	99 0.5×	33 0.3×	131 1.5×	15	583
Xingmeng Lu China	19	210 0.4×	865 3.9×	326 1.7×	62 0.5×	54 0.6×	40	1.3k
George H. Lacy United States	17	1.3k 2.8×	157 0.7×	213 1.1×	89 0.7×	37 0.4×	36	1.6k
Maxime Manno France	5	89 0.2×	51 0.2×	164 0.9×	43 0.3×	83 0.9×	5	507

Countries citing papers authored by D. Monga

Since Specialization

Citations

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

Fields of papers citing papers by D. Monga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Monga

This figure shows the co-authorship network connecting the top 25 collaborators of D. Monga. A scholar is included among the top collaborators of D. Monga 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 D. Monga. D. Monga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

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

Kranthi, S., et al.. (2017). Non-Bt Seeds Provided by Seed Companies in India - Are they Suitable as Refuge for Bt-Cotton?. Current Science. 112(10). 1992–1993. 4 indexed citations

Monga, D., et al.. (2016). Effect of intra row spacings on estimates of phenotypic and genotypic correlation coefficients in cotton (Gossypium arboreum). The Indian Journal of Agricultural Sciences. 86(2). 1 indexed citations

Monga, D., et al.. (2016). Effect of defoliation on maturity behavior and seed cotton yield in cotton.. Journal of Cotton Research and Development. 30(1). 63–65. 2 indexed citations

Kumar, Rishi, et al.. (2012). Impact evaluation of insecticide resistance management strategies in cotton under Technology Mini-Mission on Cotton (Gossypium hirsutum). Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Monga, D., et al.. (2011). An endophytic Erwinia chrysanthemi strain antagonistic against banana fusarium wilt disease.. Journal of Biological Control. 25(1). 60–61. 2 indexed citations

Monga, D., et al.. (2010). Insecticide Resistance Management strategies for managing Cotton pest complex. Annals of Plant Protection Sciences. 18(1). 1–5. 4 indexed citations

Kumar, Rishi, et al.. (2010). Natural Parasitization of Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) on Cotton by Aenasius bambawalei Hayat (Hymenoptera: Encyrtidae). Journal of Biological Control. 23(4). 457–460. 23 indexed citations

Kumar, Rishi, et al.. (2010). Off-season survival of mealy bug and its impact on succeeding cotton crop. Indian Journal of Entomology. 72(1). 57–59. 1 indexed citations

10.

Kumar, Ravindra, et al.. (2009). Studies on mealy bug, Phenacoccus solenopsis Tinsley on transgenic cotton in North India. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

11.

Jeyakumar, P., et al.. (2007). Effects of light trap and lunar cycle on the insects of cotton (Gossypium hirsutum) ecosystem. The Indian Journal of Agricultural Sciences. 77(5). 327–328. 2 indexed citations

12.

Monga, D., et al.. (2007). Undescriptive cotton cultivars of north zone: an evaluation.. Journal of Cotton Research and Development. 21(1). 21–23. 14 indexed citations

13.

Jeyakumar, P., et al.. (2007). Spodoptera litura: An Emerging Pest on Bt Cotton (Cry 1Ac) under North Indian Conditions. Pesticide Research Journal. 19(2). 197–200. 1 indexed citations

14.

Monga, D., et al.. (2007). Characterization of cotton root rot pathogens - Rhizoctonia so/ani and R. batatico/a using RAPD and morphological markers. Indian Phytopathology. 60(2). 259–263. 1 indexed citations

15.

Garg, Deepika, et al.. (2006). Cytological and microbiological evaluation of uterine flush of fertile and repeat breeder mares and post-treatment fertility.. Haryana Veterinarian. 45. 15–17. 2 indexed citations

16.

Kumar, Surender, et al.. (2000). Variability and interrelationship studies for yield components in G. arboreum collected from North-Eastern Hill region and Gujarat. Indian Journal of Plant Genetic Resources. 13(1). 42–45.

17.

Kumar, Surender, et al.. (2000). Range of variability for economic characters in cotton germplasm (G. hirsutum L). Indian Journal of Plant Genetic Resources. 13(3). 234–238. 2 indexed citations

18.

Monga, D., et al.. (1994). Cultural and pathogenic variations in the isolates of Rhizoctonia species causing root rot of cotton.. Indian Phytopathology. 47(4). 403–407. 16 indexed citations

19.

Monga, D. & R. K. Grover. (1991). Chemical control of root rot of cowpea in relation to altered pathogenicity of Fusarium solani. Indian Phytopathology. 44(4). 462–469. 3 indexed citations

20.

Monga, D. & D. Kalra. (1971). Prevalence of mycotic mastitis among animals in Hariana. The Indian Journal of Animal Sciences. 41(9). 813–816. 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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