Jane Teas

36 papers receiving 1.4k citations

Peers

Jane Teas
Comparison fields: 5 of 133
  • Aquatic Science 295
  • Developmental Biology 57
  • Pathology and Forensic Medicine 313
  • Nutrition and Dietetics 214
  • Endocrinology, Diabetes and Metabolism 188
Replace Paul Lewandowski with:
Paul Lewandowski Australia
Kozue Nakamura Japan
Robert W. Moore United States
Amanat Ali Oman
Brigitte Reusens Belgium
Susan K. Raatz United States
Anthony Leeds United Kingdom
Michael J. Puglisi United States
Kebreab Ghebremeskel United Kingdom
Heather Greenfield Australia
Jane Teas relative to Paul Lewandowski Australia Paul Lewandowski's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jane Teas

Since Specialization
Citations

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

Fields of papers citing papers by Jane Teas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998270
2 2001187
3 2004183
4 199588
5 200756
6 201253
7 200951
8
Dietary seaweed (Laminaria) and mammary carcinogenesis in rats.
198451
9
Could dietary seaweed reverse the metabolic syndrome?
200945
10 200141
11 198240
12 198640
13 201135
14 200735
15 198134
16 201433
17 198128
18 200426
19 200225
20 200425

About Jane Teas

Jane Teas is a scholar working on Aquatic Science, Developmental Biology, Social Psychology, Pathology and Forensic Medicine and Internal Medicine, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Seaweed-derived Bioactive Compounds (12 papers), Primate Behavior and Ecology (7 papers), Phytoestrogen effects and research (6 papers), Nutritional Studies and Diet (5 papers), Fatty Acid Research and Health (4 papers), Animal Behavior and Reproduction (3 papers), Animal Vocal Communication and Behavior (3 papers) and Cancer Risks and Factors (3 papers). The work is most often cited by research in Aquatic Science (295 citations), Developmental Biology (57 citations), Pathology and Forensic Medicine (313 citations), Nutrition and Dietetics (214 citations) and Endocrinology, Diabetes and Metabolism (188 citations). Jane Teas has collaborated with scholars based in United States, Australia and India. Frequent co-authors include James R. Hébert, Thomas G. Hurley, Lewis E. Braverman, Sam Pino, Alan T. Critchley, Jeffrey S Hampl, Yunsheng Ma, Barbara C. Olendzki, Mohammad R. Irhimeh and Lawrence H. Kushi. Their work appears in journals such as Journal of Applied Phycology, Nutrition and Cancer, JNCI Journal of the National Cancer Institute, Journal of Mammalogy and Journal of Nutrition.

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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