Julia Shi

38 papers receiving 1.9k citations

Peers

Julia Shi
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 400
  • Applied Psychology 98
  • Epidemiology 629
  • Biological Psychiatry 33
  • Infectious Diseases 235
Replace William J. Kowalczyk with:
William J. Kowalczyk United States
Efrat Aharonovich United States
Steven L. Batki United States
Jennifer R. Schroeder United States
Theresa Winhusen United States
Larissa J. Mooney United States
Michael J. Bohn United States
Karran A. Phillips United States
Peter Blanken Netherlands
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Julia Shi relative to William J. Kowalczyk United States William J. Kowalczyk's profile →
Citations per field
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William J. Kowalczyk · 1×
Citations per year

Countries citing papers authored by Julia Shi

Since Specialization
Citations

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

Fields of papers citing papers by Julia Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004300
2 2009252
3 2001168
4 2003146
5 2006133
6 200186
7 200786
8 201467
9 200762
10 201757
11 201850
12 201747
13 201246
14 199644
15 200539
16
Three Methods of Opioid Detoxification in a Primary Care Setting
199738
17 201634
18 201031
19 201528
20 201927

About Julia Shi

Julia Shi is a scholar working on Epidemiology, Physiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (8 papers), Smoking Behavior and Cessation (8 papers), Opioid Use Disorder Treatment (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Hepatitis C virus research (2 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (400 citations), Applied Psychology (98 citations), Epidemiology (629 citations), Biological Psychiatry (33 citations) and Infectious Diseases (235 citations). Julia Shi has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Kathleen M. Carroll, Suchitra Krishnan‐Sarin, Sherry A. McKee, Charla Nich, Samuel A. Ball, Bruce J. Rounsaville, Tami Frankforter, Stephanie S. O’Malley, Jeanette M. Tetrault and S. Kelly Avants. Their work appears in journals such as Journal of Addiction Medicine, Alcoholism Clinical and Experimental Research, Biological Psychiatry, Psychopharmacology and American Journal on Addictions.

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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