G. S. Dogra

682 total citations
42 papers, 523 citations indexed

About

G. S. Dogra is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, G. S. Dogra has authored 42 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Insect Science, 17 papers in Cellular and Molecular Neuroscience and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in G. S. Dogra's work include Neurobiology and Insect Physiology Research (17 papers), Insect-Plant Interactions and Control (10 papers) and Insect Utilization and Effects (6 papers). G. S. Dogra is often cited by papers focused on Neurobiology and Insect Physiology Research (17 papers), Insect-Plant Interactions and Control (10 papers) and Insect Utilization and Effects (6 papers). G. S. Dogra collaborates with scholars based in India, Canada and Germany. G. S. Dogra's co-authors include Anita Chakravarti, Cedric Gillott, Vikas Verma, Al B. Ewen, Yogesh Chawla, Y. S. Rajput, Premashish Kar, Sudhir Kumar Tomar, Rajan Sharma and Poonam Poonam and has published in prestigious journals such as Nature, Journal of Cell Science and Journal of Bacteriology.

In The Last Decade

G. S. Dogra

41 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. S. Dogra India 13 195 122 113 103 102 42 523
R.W. Pimley United Kingdom 13 165 0.8× 68 0.6× 364 3.2× 69 0.7× 20 481
Norah K. Olembo Kenya 9 70 0.4× 54 0.4× 107 0.9× 50 0.5× 18 378
Xiaoming Liu China 13 95 0.5× 52 0.4× 137 1.2× 127 1.2× 1 0.0× 62 677
Emerson Guedes Pontes Brazil 14 102 0.5× 38 0.3× 234 2.1× 61 0.6× 26 441
Cao Deng China 14 8 0.0× 65 0.5× 28 0.2× 132 1.3× 10 0.1× 28 524
Maria do Carmo Queiroz Fialho Brazil 13 33 0.2× 207 1.7× 243 2.2× 127 1.2× 22 399
Hasan Tunaz Türkiye 16 225 1.2× 83 0.7× 670 5.9× 81 0.8× 51 894
Ivan Gelbič Czechia 15 78 0.4× 67 0.5× 288 2.5× 66 0.6× 58 595
Emiru Seyoum Ethiopia 13 61 0.3× 77 0.6× 241 2.1× 33 0.3× 1 0.0× 24 448

Countries citing papers authored by G. S. Dogra

Since Specialization
Citations

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

Fields of papers citing papers by G. S. Dogra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. S. Dogra

This figure shows the co-authorship network connecting the top 25 collaborators of G. S. Dogra. A scholar is included among the top collaborators of G. S. Dogra 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 G. S. Dogra. G. S. Dogra 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.
Chakravarti, Anita, Mayank Chauhan, G. S. Dogra, & Sayantan Banerjee. (2013). Hepatitis C virus core antigen assay: can we think beyond convention in resource limited settings?. The Brazilian Journal of Infectious Diseases. 17(3). 369–374. 17 indexed citations
2.
Dogra, G. S., Anita Chakravarti, Premashish Kar, & Yogesh Chawla. (2011). Polymorphism of tumor necrosis factor–α and interleukin-10 gene promoter region in chronic hepatitis C virus patients and their effect on pegylated interferon–α therapy response. Human Immunology. 72(10). 935–939. 31 indexed citations
3.
Dogra, G. S., Volker Wagner, Martin Haslbeck, et al.. (2011). Sinorhizobium meliloti CheA Complexed with CheS Exhibits Enhanced Binding to CheY1, Resulting in Accelerated CheY1 Dephosphorylation. Journal of Bacteriology. 194(5). 1075–1087. 25 indexed citations
4.
Rajput, Y. S., et al.. (2007). Estimation of vitamin B12 by ELISA and its status in milk. Milk science international/Milchwissenschaft. 62(2). 127–130. 4 indexed citations
5.
Basavarajappa, Mallikarjuna S., Sachinandan De, Manish Thakur, et al.. (2007). Characterization of the luteinizing hormone beta (LH-β) subunit gene in the Indian river buffalo (Bubalus bubalis). General and Comparative Endocrinology. 155(1). 63–69. 5 indexed citations
6.
Dogra, G. S., et al.. (1993). Comparative morphology of different larval instars of apple fruit moth, Argyresthia conjugella Zeller. Journal of insect science. 6(1). 32–36. 14 indexed citations
7.
Sharma, J.P., et al.. (1990). Feasibility of using Trichogramma spp. against Heliothis armigera Hubner on tomato.. Indian journal of plant protection. 18(2). 237–239. 3 indexed citations
8.
Dogra, G. S., et al.. (1989). Some natural enemies of lepidopterous pests in Himachal Pradesh.. Agricultural science digest. 9(2). 74–76. 1 indexed citations
9.
Dogra, G. S., et al.. (1988). Insect-pests of okra, Abelmoschus esculentus (Linn.) Moench. and their control under mid-hill conditions. Journal of insect science. 1(2). 195–198. 1 indexed citations
10.
Sharma, J.P., et al.. (1987). Studies on Varietal Preference of Apple Fruit Moth, Argyresthia Conjugella Zeller (Yponomeutidae: Lepidoptera). Indian Journal of Horticulture. 44. 289–293. 1 indexed citations
11.
Sharma, J.P. & G. S. Dogra. (1986). Studies on the control of the plum scale Eulecanium sp? tiliae (L.) (Homoptera: Coccidae) through chemical and natural elements.. Indian Journal of Entomology. 48(3). 258–263. 1 indexed citations
12.
Sharma, J.P., et al.. (1986). Incidence of apple fruit moth(Argyresthia conjugellaZell.) in Himachal Pradesh, India. Tropical Pest Management. 32(4). 350–350. 1 indexed citations
13.
Dogra, G. S., et al.. (1980). Incidence and control of ectoparasitic mite, Pyemotes herfsi Ondenmans of the Indian honey bee, Apis cerana Fab.. American bee journal. 120(1). 44–44. 1 indexed citations
14.
Hameed, S. F., et al.. (1980). Relative toxicity of some insecticides to soybean bug, Chauliops fallax Scott.. Indian Journal of Entomology. 42(2). 263–265. 1 indexed citations
15.
Dogra, G. S., et al.. (1980). Control of tomato fruit borer, Heliothis armigera Hubner (Noctuidae: Lepidoptera) under mid-hill conditions.. Pesticides. 14(6). 11–13. 2 indexed citations
16.
Dogra, G. S., et al.. (1979). Outbreak of Indian gypsy moth, Lymantria obfuscata Wlk., on oak in Himachel Pradesh.. Indian Forester. 105(8). 594–597. 2 indexed citations
17.
Dogra, G. S.. (1973). Neurosecretion in Rhodnius prolixus1 and the Problem of Endocrine Control of Reproduction. Annals of the Entomological Society of America. 66(5). 1011–1021. 5 indexed citations
18.
Gillott, Cedric, G. S. Dogra, & Al B. Ewen. (1970). AN AUTORADIOGRAPHIC STUDY OF ENDOCRINE ACTIVITY FOLLOWING FRONTAL GANGLIONECTOMY IN VIRGIN FEMALES OFMELANOPLUS SANGUINIPES(ORTHOPTERA: ACRIDIDAE). The Canadian Entomologist. 102(9). 1083–1088. 6 indexed citations
19.
Dogra, G. S.. (1967). A note on the neurosecretory cells and their axonal pathways in the earthworm, Pheretima posthuma. General and Comparative Endocrinology. 9(2). 241–244. 4 indexed citations
20.
Dogra, G. S.. (1967). Neurosecretory System of Heteroptera (Hemiptera) and Role of the Aorta as a Neurohaemal Organ. Nature. 215(5097). 199–201. 5 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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