Margot Kuo

1.6k citations
37 papers · 1.2k · h-index 17

Impact in

Papers in

Margot Kuo

37 papers receiving 1.1k citations

Peers

Margot Kuo
Comparison fields: 5 of 93
  • Hepatology 349
  • Public Health, Environmental and Occupational Health 317
  • Toxicology 38
  • Epidemiology 336
  • General Health Professions 106
Replace Dagmar Hedrich with:
Dagmar Hedrich Portugal
Rajiv Patel United States
Jenny Iversen Australia
Ashly E. Jordan United States
Tyler S. Bartholomew United States
Kostyantyn Dumchev Ukraine
Alexei Zelenev United States
Sabina Dobrer Canada
Jazmine Cuevas-Mota United States
M. Suresh Kumar India
Margot Kuo relative to Dagmar Hedrich Portugal Dagmar Hedrich's profile →
Citations per field
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Dagmar Hedrich · 1×
Citations per year

Countries citing papers authored by Margot Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Margot Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 2005111
3 201686
4 201881
5 200677
6 201669
7 201656
8 202053
9 201044
10 201640
11 201940
12 201934
13 201731
14 201430
15 201428
16 201027
17 201425
18 201916
19 201515
20 201514

About Margot Kuo

Margot Kuo is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Hepatology, General Health Professions and Toxicology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), Opioid Use Disorder Treatment (8 papers), HIV, Drug Use, Sexual Risk (7 papers), Hepatitis B Virus Studies (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Empathy and Medical Education (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). The work is most often cited by research in Hepatology (349 citations), Public Health, Environmental and Occupational Health (317 citations), Toxicology (38 citations), Epidemiology (336 citations) and General Health Professions (106 citations). Margot Kuo has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include Jane A. Buxton, Mel Krajden, Amanda Yu, Mark Tyndall, Maria Alvarez, Sally Thorne, Elizabeth-Anne Armstrong, T. Gregory Hislop, Naveed Z. Janjua and Mark Gilbert. Their work appears in journals such as International Journal of Drug Policy, PLoS ONE, Substance Abuse Treatment Prevention and Policy, Journal of Hepatology and Scientific Reports.

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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