R. K. Saini

761 total citations
38 papers, 575 citations indexed

About

R. K. Saini is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, R. K. Saini has authored 38 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Insect Science, 11 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in R. K. Saini's work include Insect and Pesticide Research (8 papers), Neurobiology and Insect Physiology Research (8 papers) and Trypanosoma species research and implications (8 papers). R. K. Saini is often cited by papers focused on Insect and Pesticide Research (8 papers), Neurobiology and Insect Physiology Research (8 papers) and Trypanosoma species research and implications (8 papers). R. K. Saini collaborates with scholars based in Kenya, South Africa and United States. R. K. Saini's co-authors include Ahmed Hassanali, Peter G. N. Njagi, Nicholas K. Gikonyo, P. G. McDowell, C.J. Den Otter, Baldwyn Torto, Abdullahi A. Yusuf, Christian W. W. Pirk, R. D. Dransfield and I.O. Ndiege and has published in prestigious journals such as PLoS neglected tropical diseases, Journal of Chemical Ecology and Journal of Insect Physiology.

In The Last Decade

R. K. Saini

38 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. K. Saini Kenya 14 350 181 129 117 116 38 575
M. F. B. Chaudhury Kenya 16 511 1.5× 139 0.8× 153 1.2× 83 0.7× 127 1.1× 57 685
E. D. Kokwaro Kenya 13 229 0.7× 95 0.5× 64 0.5× 77 0.7× 116 1.0× 45 457
R. J. Phelps Zimbabwe 15 409 1.2× 147 0.8× 80 0.6× 179 1.5× 105 0.9× 26 666
Gissella M. Vásquez United States 15 333 1.0× 140 0.8× 240 1.9× 25 0.2× 123 1.1× 37 622
Aurélien Vigneron United States 17 803 2.3× 72 0.4× 156 1.2× 159 1.4× 135 1.2× 29 1.0k
S. Catalá Argentina 19 523 1.5× 115 0.6× 94 0.7× 624 5.3× 124 1.1× 33 931
R. D. Dransfield Kenya 17 478 1.4× 232 1.3× 164 1.3× 353 3.0× 108 0.9× 35 867
Paul N. Ndegwa Kenya 14 399 1.1× 121 0.7× 106 0.8× 33 0.3× 273 2.4× 40 748
S. M. Lehane United Kingdom 12 468 1.3× 51 0.3× 104 0.8× 245 2.1× 54 0.5× 13 711
Simon P. Sawadogo Burkina Faso 17 292 0.8× 89 0.5× 127 1.0× 40 0.3× 126 1.1× 41 772

Countries citing papers authored by R. K. Saini

Since Specialization
Citations

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

Fields of papers citing papers by R. K. Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. K. Saini. 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 R. K. Saini. The network helps show where R. K. Saini may publish in the future.

Co-authorship network of co-authors of R. K. Saini

This figure shows the co-authorship network connecting the top 25 collaborators of R. K. Saini. A scholar is included among the top collaborators of R. K. Saini 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 R. K. Saini. R. K. Saini 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.
Hargrove, John W., John Van Sickle, & R. K. Saini. (2021). Field Testing of a Putative Larviposition Pheromone for the Tsetse Fly Glossina m. morsitans Westwood. African Entomology. 29(2). 2 indexed citations
2.
Tchouassi, David P., Abdullahi A. Yusuf, Christian W. W. Pirk, et al.. (2020). Effect of zebra skin-derived compounds on field catches of the human African trypanosomiasis vector Glossina fuscipes fuscipes. Acta Tropica. 213. 105745–105745. 4 indexed citations
3.
Mbewe, Njelembo J., R. K. Saini, Janet Irungu, et al.. (2019). Responses of Glossina fuscipes fuscipes to visually attractive stationary devices baited with 4-methylguaiacol and certain repellent compounds in waterbuck odour. PLoS neglected tropical diseases. 13(7). e0007510–e0007510. 5 indexed citations
4.
Mbewe, Njelembo J., R. K. Saini, Baldwyn Torto, et al.. (2018). Sticky small target: an effective sampling tool for tsetse fly Glossina fuscipes fuscipes Newstead, 1910. Parasites & Vectors. 11(1). 268–268. 8 indexed citations
5.
Mbewe, Njelembo J., R. K. Saini, Baldwyn Torto, et al.. (2017). Effects of vector control on the population structure of tsetse ( Glossina fuscipes fuscipes ) in western Kenya. Acta Tropica. 179. 1–9. 7 indexed citations
6.
Goolsby, John A., Felix D. Guerrero, John F. Gaskin, et al.. (2016). Molecular Comparison of Cattle Fever Ticks from Native and Introduced Ranges, with Insights into Optimal Search Areas for Classical Biological Control Agents. Southwestern Entomologist. 41(3). 595–604. 10 indexed citations
7.
Masiga, Daniel, et al.. (2014). Building Endogenous Capacity for the Management of Neglected Tropical Diseases in Africa: The Pioneering Role of ICIPE. PLoS neglected tropical diseases. 8(5). e2687–e2687. 8 indexed citations
8.
Shiundu, Paul M., et al.. (2009). Release kinetics of a synthetic tsetse allomone derived from waterbuck odour from a tygon silicon dispenser under laboratory and semi field conditions.. American-Asian-Journal of agricultural & environmental sciences. 6(6). 625–636. 11 indexed citations
9.
10.
Kokwaro, E. D., et al.. (2007). Livestock farmers’ perception and epidemiology of bovine trypanosomosis in Kwale District, Kenya. Preventive Veterinary Medicine. 80(1). 24–33. 30 indexed citations
11.
Gikonyo, Nicholas K., Ahmed Hassanali, Peter G. N. Njagi, & R. K. Saini. (2003). Responses of Glossina morsitans morsitans to Blends of Electroantennographically Active Compounds in the Odors of Its Preferred (Buffalo and Ox) and Nonpreferred (Waterbuck) Hosts. Journal of Chemical Ecology. 29(10). 2331–2345. 60 indexed citations
12.
13.
Saini, R. K., et al.. (1997). Some behavioural aspects of Amsacta moorei butler with particular reference to pupation and light attraction. Journal of insect science. 10(1). 12–15. 7 indexed citations
14.
Hassanali, Ahmed, et al.. (1997). Identification of Components of the Oviposition Aggregation Pheromone of the Gregarious Desert Locust, Schistocerca gregaria (Forskal). Journal of Insect Physiology. 43(1). 83–87. 49 indexed citations
15.
16.
Saini, R. K., et al.. (1995). Semiochemicals from froth of egg pods attract ovipositing female Schistocerca gregaria. Journal of Insect Physiology. 41(8). 711–716. 34 indexed citations
17.
Saini, R. K., et al.. (1993). Close range responses of tsetse flies Glossina morsitans morsitans Westwood (diptera: glossinidae) to host body kairomones. Discovery and Innovation. 5(2). 149–153. 7 indexed citations
18.
Otter, C.J. Den & R. K. Saini. (1985). Pheromone perception in the tsetse fly Glossina morsitans morsitans. Entomologia Experimentalis et Applicata. 39(2). 155–161. 24 indexed citations
19.
Saini, R. K.. (1985). Sound Production Associated with Sexual Behaviour of the Tsetse, Glossina morsitans morsitans. International Journal of Tropical Insect Science. 6(6). 637–644. 5 indexed citations
20.
Saini, R. K.. (1983). SOUND PRODUCTION ASSOCIATED WITH FEEDING BEHAVIOUR OF THE TSETSE, GLOSSINA M. MORSITANS. Entomologia Experimentalis et Applicata. 34(1). 1–8. 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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