Sue Li

2.1k citations
26 papers · 1.3k · h-index 14

Impact in

Papers in

    • HIV/AIDS Research and Interventions 4
    • HIV/AIDS drug development and treatment 4
    • Global Cancer Incidence and Screening 2

Sue Li

24 papers receiving 1.2k citations

Peers

Sue Li
Comparison fields: 5 of 110
  • Pathology and Forensic Medicine 224
  • Public Health, Environmental and Occupational Health 285
  • Applied Psychology 36
  • Rheumatology 96
  • Oncology 174
Replace Young Gyu Cho with:
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Chen‐Yi Wu Taiwan
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Sue Li relative to Young Gyu Cho South Korea Young Gyu Cho's profile →
Citations per field
00.5×7.2×
Young Gyu Cho · 1×
Citations per year

Countries citing papers authored by Sue Li

Since Specialization
Citations

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

Fields of papers citing papers by Sue Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001232
2 1998181
3
Urinary isoflavonoid and lignan excretion on a Western diet: relation to soy, vegetable, and fruit intake.
1999120
4 2000109
5 200899
6 200196
7
Modulation of human glutathione S-transferases by botanically defined vegetable diets.
200092
8 202062
9
Associations of demographic and health-related characteristics with prostate cancer screening in Washington State.
199846
10 201945
11 201536
12 199934
13 199832
14 200318
15 202012
16 200111
17 202110
18 20219
19 20199
20 20128

About Sue Li

Sue Li is a scholar working on Infectious Diseases, Oncology, Epidemiology, Molecular Biology and Pharmacology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (4 papers), HIV/AIDS drug development and treatment (4 papers), Fatty Acid Research and Health (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Global Cancer Incidence and Screening (2 papers), HIV Research and Treatment (2 papers), Phytoestrogen effects and research (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (224 citations), Public Health, Environmental and Occupational Health (285 citations), Applied Psychology (36 citations), Rheumatology (96 citations) and Oncology (174 citations). Sue Li has collaborated with scholars based in United States, South Africa and Brazil. Frequent co-authors include Alan R. Kristal, Ruth E. Patterson, Elyse Trudeau, John D. Potter, Johanna W. Lampe, Ziding Feng, Kristiina Wähälä, Chu Chen, Ann L. Shattuck and Susan J. Curry. Their work appears in journals such as Gynecologic Oncology, AIDS and Behavior, Journal of the International AIDS Society, Journal of General Internal Medicine and International Journal of Gynecological Cancer.

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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