Kawaljit Kaur

1.1k citations
28 papers · 396 indexed · h-index 13

Kawaljit Kaur

26 papers receiving 389 citations

Peers

Kawaljit Kaur
Comparison fields: 5 of 81
  • Endocrinology 69
  • Molecular Medicine 42
  • Infectious Diseases 60
  • Obstetrics and Gynecology 20
  • Molecular Biology 169
Replace Ricardo Calderón-González with:
Ricardo Calderón-González Spain
Xia Cai China
Thomas C. Scanlon United States
María Victoria Humbert United Kingdom
Hongwu Sun China
Ky V. Hoang United States
Prabhjot Kaur India
Paula I. Rodas Chile
Laurie W. Leclair United States
Michael G. Connor France
Kawaljit Kaur relative to Ricardo Calderón-González Spain Ricardo Calderón-González's profile →
Citations per field
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Ricardo Calderón-González · 1×
Citations per year

Countries citing papers authored by Kawaljit Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Kawaljit Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20245
5 20245
6 20233
7 20231
8 20219
9 202121
10 202012
11 202010
12 201913
13 201832
14 201716
15 201749
16 20155
17
Current trend of caesarean sections and vaginal births
201315
18
Obstetric complications: Primiparity Vs. Multiparity
201219
19 201225
20
COVID-19 AND “NEW NORMAL”
20051

About Kawaljit Kaur

Kawaljit Kaur is a scholar working on Molecular Medicine, Endocrinology and Infectious Diseases, having authored 28 papers that have together received 396 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), Animal Virus Infections Studies (4 papers), Escherichia coli research studies (4 papers), Viral Infections and Immunology Research (3 papers), Biosensors and Analytical Detection (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Endocrinology (69 citations), Molecular Medicine (42 citations) and Infectious Diseases (60 citations). Kawaljit Kaur has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Roberto N. De Guzman, Andrew C. McShan, Sukanya Chaudhury, Jaspinder Kaur, Holger Schönherr, Sangeeta B. Joshi, David B. Volkin, John M. Hickey, Dipankar Das and Mareike Müller. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

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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