Davinder Sidhu

1.0k citations
15 papers · 788 · h-index 9

Impact in

Papers in

Davinder Sidhu

15 papers receiving 760 citations

Peers

Davinder Sidhu
Comparison fields: 5 of 91
  • Obstetrics and Gynecology 156
  • Reproductive Medicine 60
  • Infectious Diseases 133
  • Tourism, Leisure and Hospitality Management 7
  • Biochemistry 25
Replace Shalinee Rao with:
Shalinee Rao India
Meredith Mahan United States
Rajendra B. Nerli India
Peyman Nowrouzi‐Sohrabi Iran
Fatma Meriç Yılmaz Türkiye
Jasbinder Kaur India
Nasser Laouali France
Emilie Kalbacher France
Shahla Rezaei Iran
Rihwa Choi South Korea
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Citations per field
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Shalinee Rao · 1×
Citations per year

Countries citing papers authored by Davinder Sidhu

Since Specialization
Citations

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

Fields of papers citing papers by Davinder Sidhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012235
2 2021197
3 2013170
4 201363
5 201741
6 201531
7
Laboratory tests, interpretation, and use of resources: a program to introduce the basics.
201410
8 201610
9
Break the fast? Update on patient preparation for cholesterol testing.
20149
10 20216
11 20236
12 20235
13 20132
14 20212
15
Laboratory tests, interpretation, and use of resources
20141

About Davinder Sidhu

Davinder Sidhu is a scholar working on Physiology, Anesthesiology and Pain Medicine, Biochemistry, Speech and Hearing and Nephrology, having authored 15 papers that have together received 788 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (2 papers), COVID-19 Clinical Research Studies (1 paper), Complement system in diseases (1 paper), Ovarian cancer diagnosis and treatment (1 paper), Dietary Effects on Health (1 paper), Dialysis and Renal Disease Management (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Obstetrics and Gynecology (156 citations), Reproductive Medicine (60 citations), Infectious Diseases (133 citations), Tourism, Leisure and Hospitality Management (7 citations) and Biochemistry (25 citations). Davinder Sidhu has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Christopher T Naugler, Steve E. Kalloger, Jocelyne Arseneau, Máire A. Duggan, Martin Köbel, Philip B. Clement, Guangming Han, Matthew Cesari, Carol A. Ewanowich and Christopher Tormey. Their work appears in journals such as Journal of Clinical Apheresis, Critical Reviews in Food Science and Nutrition, Nature Medicine, Vox Sanguinis and Transfusion.

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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