Gurpreet Kaur

25 papers receiving 434 citations

Peers

Gurpreet Kaur
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 74
  • Behavioral Neuroscience 33
  • Biological Psychiatry 16
  • Biochemistry 31
  • Horticulture 5
Replace Miguel Carro-Juárez with:
Miguel Carro-Juárez Mexico
Teresa Bobkiewicz-Kozłowska Poland
Kohsuke Hayamizu Japan
Wellington da Silva Côrtes Brazil
Emiliano Ricardo Vasconcelos Rios Brazil
Gui-Sheng Wu China
Shahin Hassanpour Iran
Ali Moghimi Iran
Mehdi Rahnema Iran
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Citations per field
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Citations per year

Countries citing papers authored by Gurpreet Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Gurpreet Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gurpreet Kaur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gurpreet Kaur Line = papers co-authored together Gurpreet Kaur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009125
2 200078
3 200272
4 201224
5 200223
6 201520
7 201414
8 202114
9 202214
10 200112
11 202110
12
Differential effect of a polyherbal formulation-OB-200G in male and female mice subjected to forced swim stress.
20007
13 20147
14 20206
15
Differential effect of polyherbal, antiobesity preparation, OB-200G in male and female mice and monosodium glutamate-treated rats.
20015
16 20215
17 20205
18 20164
19 20164
20
Development of Monoclonal Antibodies Against Bovine Herpesvirus Type-I (BHV-I)
20011

About Gurpreet Kaur

Gurpreet Kaur is a scholar working on Plant Science, Behavioral Neuroscience, Endocrine and Autonomic Systems, Genetics and Animal Science and Zoology, having authored 27 papers that have together received 455 indexed citations. Recurring topics across this work include Advances in Cucurbitaceae Research (6 papers), Plant Virus Research Studies (5 papers), Stress Responses and Cortisol (3 papers), Insect-Plant Interactions and Control (2 papers), Animal Virus Infections Studies (2 papers), Essential Oils and Antimicrobial Activity (2 papers), Regulation of Appetite and Obesity (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (74 citations), Behavioral Neuroscience (33 citations), Biological Psychiatry (16 citations), Biochemistry (31 citations) and Horticulture (5 citations). Gurpreet Kaur has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Mohammad S. Athar, Mohammad Sarwar Alam, V. Raghavendra, Sarwat Sultana, Abhishek Sharma, Parveen Chhuneja, Deepak Singla, Indu Sharma, Harminder Pal Singh and Daizy R. Batish. Their work appears in journals such as Frontiers in Plant Science, European Journal of Nutrition, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Canadian Journal of Plant Pathology and Molecular Carcinogenesis.

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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