Simranpreet Kaur

50 papers receiving 800 citations

Peers

Simranpreet Kaur
Comparison fields: 5 of 127
  • Parasitology 128
  • Infectious Diseases 203
  • Genetics 85
  • Computer Networks and Communications 114
  • Health Information Management 21
Replace Ying Fang with:
Ying Fang China
Yingfeng Lei China
Jun Sasaki Japan
David Patterson United States
Sonal Saxena India
Michael Seibold Germany
Liqun Lu China
K. Yasui Japan
Weiping Peng China
Harpreet Kaur India
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Citations per field
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Citations per year

Countries citing papers authored by Simranpreet Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Simranpreet Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simranpreet 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 Simranpreet Kaur Line = papers co-authored together Simranpreet Kaur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015142
2 200867
3 200866
4 201955
5 202049
6 201649
7 201840
8 201940
9 202038
10 201736
11 202036
12 202030
13 201220
14 202216
15 201416
16 202011
17
Y-chromosome polymorphism in species B and C of Anopheles culicifacies complex.
199710
18 201510
19 202210
20 20207

About Simranpreet Kaur

Simranpreet Kaur is a scholar working on Infectious Diseases, Molecular Biology, Computer Networks and Communications, Biomedical Engineering and Biotechnology, having authored 60 papers that have together received 827 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial biofilms and quorum sensing (6 papers), IoT and Edge/Fog Computing (4 papers), Vector-borne infectious diseases (4 papers), COVID-19 and Mental Health (4 papers), Animal Virus Infections Studies (3 papers), Listeria monocytogenes in Food Safety (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Parasitology (128 citations), Infectious Diseases (203 citations), Genetics (85 citations), Computer Networks and Communications (114 citations) and Health Information Management (21 citations). Simranpreet Kaur has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Sandeep K. Sood, Munish Bhatia, S.V.S. Malik, V. M. Vaidya, Jatinder Paul Singh Gill, Randhir Singh, Sukhadeo B. Barbuddhe, Satish Kumar, K. N. Bhilegaonkar and Kathryn N. North. Their work appears in journals such as JAMA Neurology, Water Air & Soil Pollution, European Journal of Human Genetics, Foodborne Pathogens and Disease and Journal of Ambient Intelligence and Humanized Computing.

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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