Jane Alcorn

3.9k citations
108 papers · 2.8k · h-index 27

Impact in

Papers in

Jane Alcorn

106 papers receiving 2.7k citations

Peers

Jane Alcorn
Comparison fields: 5 of 140
  • Pharmacology 314
  • Pharmacology 475
  • Pediatrics, Perinatology and Child Health 532
  • Clinical Biochemistry 183
  • Biochemistry 137
Replace Masaki Kobayashi with:
Masaki Kobayashi Japan
Helen Gika Greece
Albert Koulman United Kingdom
Ana I. Morales Spain
Guoxiang Xie China
Ken Iseki Japan
Young‐Nam Cha South Korea
Carlos Curti Brazil
Momir Mikov Serbia
Martin Giera Netherlands
Jane Alcorn relative to Masaki Kobayashi Japan Masaki Kobayashi's profile →
Citations per field
00.5×1.5×
Masaki Kobayashi · 1×
Citations per year

Countries citing papers authored by Jane Alcorn

Since Specialization
Citations

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

Fields of papers citing papers by Jane Alcorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002234
2 2009215
3 2003168
4 2002155
5 2002120
6 2019114
7 2020109
8 2002101
9 200667
10 200761
11 201251
12 200947
13 200646
14 200644
15 201943
16 202041
17 200741
18 200340
19 201535
20 202235

About Jane Alcorn

Jane Alcorn is a scholar working on Molecular Biology, Clinical Biochemistry, Pathology and Forensic Medicine, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 108 papers that have together received 2.8k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (15 papers), Drug Transport and Resistance Mechanisms (14 papers), Cannabis and Cannabinoid Research (13 papers), Pharmacogenetics and Drug Metabolism (11 papers), Metabolism and Genetic Disorders (8 papers), Natural Antidiabetic Agents Studies (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Paraoxonase enzyme and polymorphisms (5 papers). The work is most often cited by research in Pharmacology (314 citations), Pharmacology (475 citations), Pediatrics, Perinatology and Child Health (532 citations), Clinical Biochemistry (183 citations) and Biochemistry (137 citations). Jane Alcorn has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Patrick J. McNamara, Franklyn De Silva, Binbing Ling, Susan J. Whiting, Lilian Thorpe, B. H. J. Juurlink, Jennifer L. Adolphe, Fawzy Elbarbry, Ed S. Krol and Xin Lu. Their work appears in journals such as Journal of Veterinary Pharmacology and Therapeutics, Research in Veterinary Science, American Journal of Veterinary Research, The FASEB Journal and Journal of Natural Products.

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.

Explore authors with similar magnitude of impact