Arshpreet Kaur

468 citations
23 papers · 315 · h-index 8

Impact in

    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Microbiology top 10%
    • Antimicrobial Peptides and Activities

Papers in

    • Immune Response and Inflammation 10
    • Immunotherapy and Immune Responses 3
    • Plant Gene Expression Analysis 4

Arshpreet Kaur

22 papers receiving 307 citations

Peers

Arshpreet Kaur
Comparison fields: 5 of 78
  • Immunology 155
  • Microbiology 34
  • Toxicology 9
  • Molecular Biology 119
  • Pharmaceutical Science 10
Replace Yukari Nakagawa with:
Yukari Nakagawa Japan
Qingyao Shang China
Kendal Ryter United States
Yilei Yang China
Kudelaidi Kuerban China
Mateja Manček Keber Slovenia
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Francesco Papi Italy
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Citations per field
00.5×8.4×
Yukari Nakagawa · 1×
Citations per year

Countries citing papers authored by Arshpreet Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Arshpreet Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Arshpreet 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 Arshpreet Kaur Line = papers co-authored together Arshpreet Kaur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022118
2 202038
3 202130
4 202127
5 202112
6 201812
7 201811
8 201710
9 20227
10 20247
11 20236
12 20226
13 20216
14 20206
15 20234
16 20254
17 20234
18 20242
19 20222
20 20221

About Arshpreet Kaur

Arshpreet Kaur is a scholar working on Immunology, Molecular Biology, Epidemiology, Organic Chemistry and Pharmaceutical Science, having authored 23 papers that have together received 315 indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), Plant Gene Expression Analysis (4 papers), Pneumonia and Respiratory Infections (4 papers), Immunotherapy and Immune Responses (3 papers), Advanced Drug Delivery Systems (3 papers), Antimicrobial Peptides and Activities (3 papers), Agronomic Practices and Intercropping Systems (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Immunology (155 citations), Microbiology (34 citations), Toxicology (9 citations), Molecular Biology (119 citations) and Pharmaceutical Science (10 citations). Arshpreet Kaur has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include Deepak B. Salunke, Nikolai Petrovsky, Jeremy Baldwin, S.K. Mehta, Sakshi Piplani, Rohini Kanwar, Sandip V. Pawar, Isaac G. Sakala, Yoshikazu Honda‐Okubo and Priyanka Sharma. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, RSC Medicinal Chemistry, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and Scientific Reports.

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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