G. K. Dhaliwal

430 total citations
49 papers, 304 citations indexed

About

G. K. Dhaliwal is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology. According to data from OpenAlex, G. K. Dhaliwal has authored 49 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Agronomy and Crop Science, 8 papers in Small Animals and 8 papers in Animal Science and Zoology. Recurrent topics in G. K. Dhaliwal's work include Reproductive Physiology in Livestock (6 papers), Veterinary Medicine and Surgery (5 papers) and Animal Disease Management and Epidemiology (5 papers). G. K. Dhaliwal is often cited by papers focused on Reproductive Physiology in Livestock (6 papers), Veterinary Medicine and Surgery (5 papers) and Animal Disease Management and Epidemiology (5 papers). G. K. Dhaliwal collaborates with scholars based in United Kingdom, Malaysia and United States. G. K. Dhaliwal's co-authors include D.E. Noakes, J. Verstegen, Gary England, C. Wray, Tracey Phillips, Wendy Wong, Daniel I. Benjamin, Thomas A. Rando, Jayesh S. Salvi and Jamie O. Brett and has published in prestigious journals such as Theriogenology, Journal of the American Veterinary Medical Association and Animal Reproduction Science.

In The Last Decade

G. K. Dhaliwal

40 papers receiving 279 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. K. Dhaliwal United Kingdom 9 138 122 51 45 42 49 304
Leszek Krakowski Poland 12 212 1.5× 175 1.4× 50 1.0× 45 1.0× 25 0.6× 49 460
William B. Ley United States 13 138 1.0× 184 1.5× 58 1.1× 41 0.9× 16 0.4× 39 439
Katarina Gustafsson Sweden 14 182 1.3× 69 0.6× 41 0.8× 114 2.5× 37 0.9× 25 522
Barry Wiseman United States 10 57 0.4× 120 1.0× 45 0.9× 26 0.6× 65 1.5× 16 350
Ali Rişvanlı Türkiye 9 34 0.2× 143 1.2× 28 0.5× 42 0.9× 30 0.7× 78 288
Árpád Csaba Bajcsy Hungary 12 175 1.3× 323 2.6× 70 1.4× 24 0.5× 25 0.6× 31 466
Ryan A. Ferris United States 14 110 0.8× 314 2.6× 85 1.7× 51 1.1× 54 1.3× 40 501
Henrikas Žilinskas Lithuania 11 59 0.4× 107 0.9× 120 2.4× 133 3.0× 18 0.4× 33 313
Evangelos Kiossis Greece 14 75 0.5× 273 2.2× 51 1.0× 64 1.4× 22 0.5× 50 461
Karen I. Timm United States 11 98 0.7× 119 1.0× 39 0.8× 42 0.9× 16 0.4× 25 373

Countries citing papers authored by G. K. Dhaliwal

Since Specialization
Citations

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

Fields of papers citing papers by G. K. Dhaliwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. K. Dhaliwal

This figure shows the co-authorship network connecting the top 25 collaborators of G. K. Dhaliwal. A scholar is included among the top collaborators of G. K. Dhaliwal 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. K. Dhaliwal. G. K. Dhaliwal 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.
Jaffey, Jared A., Anderson F. da Cunha, Mark J. Acierno, et al.. (2025). Inhaled albuterol rapidly decreases whole blood potassium and increases plasma insulin concentrations, with peak effects 30 minutes after administration in cats. Journal of the American Veterinary Medical Association. 263(8). 971–978.
2.
Kang, Jengmin, Daniel I. Benjamin, Soochi Kim, et al.. (2024). Depletion of SAM leading to loss of heterochromatin drives muscle stem cell ageing. Nature Metabolism. 6(1). 153–168. 31 indexed citations
3.
Dhaliwal, G. K., et al.. (2017). Occurrence of Campylobacter in dogs and cats in Selangor Malaysia and the associated risk factors. Malaysian Journal of Microbiology. 9 indexed citations
4.
Dhaliwal, G. K., et al.. (2017). Feline bartonellosis associated with some clinicopathological conditions in a veterinary hospital in Selangor, Malaysia.. Tropical biomedicine. 34(1). 174–179. 6 indexed citations
5.
Dhaliwal, G. K., et al.. (2017). Antibiotic resistance profiles of Staphylococcus pseudintermedius isolated from dogs and cats. Malaysian Journal of Microbiology. 4 indexed citations
6.
Sidek, H.A.A., et al.. (2016). Occurrence of multidrug-resistant Acinetobacter baumannii and Escherichia coli in veterinary healthcare facilities in Klang Valley, Malaysia. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 2 indexed citations
7.
Rosnina, Y., et al.. (2012). Corpora lutea diameter, plasma progesterone concentration and follicular development in PGF2α and CIDR estrus synchronized goats.. Pakistan Veterinary Journal. 32(2). 216–220. 5 indexed citations
8.
Rosnina, Y., et al.. (2012). Effects of Biostimulation on Oestrus Behaviour, Ovulation Time and Conception Rate in Primiparous and Multiparous Beef Cows. Journal of Animal and Veterinary Advances. 11(3). 404–411. 2 indexed citations
9.
Phillips, Tracey, et al.. (2011). Efficacy of four density gradient separation media to remove erythrocytes and nonviable sperm from canine semen. Theriogenology. 77(1). 39–45. 25 indexed citations
10.
Verstegen, J., et al.. (2008). Canine and feline pregnancy loss due to viral and non-infectious causes: A review. Theriogenology. 70(3). 304–319. 41 indexed citations
11.
Abu, Jalila, et al.. (2005). Use of GIS in brucellosis eradication programme in Pahang.. 138–140. 1 indexed citations
12.
Razak, Intan Shameha Abdul, et al.. (2005). Comparison of the Draminski® oestrous detector reading and plasma concentrations of estradiol and progesterone for oestrus detection in ewes.. 145–147. 1 indexed citations
13.
Hassan, Latiffah, et al.. (2005). Prevalence of antibiotic resistant species of Enterococcus, Salmonella and Campylobacter in duck farms in Perak.. 123–124. 1 indexed citations
14.
Thilagar, S., et al.. (2005). Uterine horn torsion in a pregnant cat. Veterinary Record. 157(18). 558–560. 11 indexed citations
15.
Perrot, A. L., et al.. (2004). Mastitis in dairy cows and its economic impact on smallholder production in the Highland zones of Madagascar.. 94–95. 2 indexed citations
16.
Bisht, Kavita, et al.. (2004). Outbreak investigation of haemorrhagic septicaemia in buffalo and cattle in Perak, Malaysia.. 263–265. 2 indexed citations
17.
Hassan, Sharifah Syed, et al.. (2004). Molecular identification of an avian influenza virus (AIV) subtype H6 isolated from cloacal swabs of ducks.. 255–257. 1 indexed citations
18.
Cardoso, L. A., et al.. (2004). Animal health: a breakpoint in economic development.. 73–75. 3 indexed citations
19.
Dhaliwal, G. K., et al.. (2004). Use of electronic identification in practical conditions on livestock.. 110–112. 1 indexed citations
20.
Dhaliwal, G. K., Gary England, & D.E. Noakes. (2002). The effects of endometrial scarification on uterine steroid receptors, bacterial flora and histological structure in the bitch. Animal Reproduction Science. 69(3-4). 239–249. 11 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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