Ninder Panesar

23 papers receiving 461 citations

Peers

Ninder Panesar
Comparison fields: 5 of 86
  • Pharmacology 129
  • Biochemistry 33
  • Immunology 85
  • Genetics 100
  • Physiology 14
Replace Yasuko Ashida with:
Yasuko Ashida Japan
Chi Hin Cho Hong Kong
Carol Mikulec United States
William A. Stylos United States
Joanna Kania Poland
Jacqueline K. Akunda United States
Yasuharu Urano Japan
Abhijit Chatterjee India
Koremu Meja United Kingdom
Roberta M. Danilowicz United States
Ninder Panesar relative to Yasuko Ashida Japan Yasuko Ashida's profile →
Citations per field
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Yasuko Ashida · 1×
Citations per year

Countries citing papers authored by Ninder Panesar

Since Specialization
Citations

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

Fields of papers citing papers by Ninder Panesar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ninder Panesar, 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 Ninder Panesar Line = papers co-authored together Ninder Panesar 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 199965
2 200059
3 199952
4 200349
5 199939
6 199824
7 199918
8 200817
9 200917
10 199816
11 199615
12
Role of cytoplasmic and secretory phospholipase A2 in intestinal epithelial cell prostaglandin E2 formation.
200014
13 199513
14 199711
15 199910
16 19979
17 19988
18 19988
19 19986
20 20075

About Ninder Panesar

Ninder Panesar is a scholar working on Pharmacology, Molecular Biology, Genetics, Surgery and Oncology, having authored 23 papers that have together received 469 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (9 papers), Estrogen and related hormone effects (5 papers), Cellular transport and secretion (5 papers), Pancreatic function and diabetes (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Adenosine and Purinergic Signaling (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Pharmacology (129 citations), Biochemistry (33 citations), Immunology (85 citations), Genetics (100 citations) and Physiology (14 citations). Ninder Panesar has collaborated with scholars based in United States, Russia and Austria. Frequent co-authors include John E. Mazuski, Walter E. Longo, Donald L. Kaminski, Philip J. Padfield, Brian Erickson, D. L. Kaminski, Erik M. Grossmann, Marc J. Shapiro, Paul M. Loewenstein and Patricia Henderson. Their work appears in journals such as Journal of Surgical Research, Biochemical Journal, Carcinogenesis, American Journal of Physiology-Gastrointestinal and Liver Physiology and Prostaglandins Leukotrienes and Essential Fatty Acids.

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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