Sofia Bartlett

1.2k citations
56 papers · 685 · h-index 14

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment
    • HIV, Drug Use, Sexual Risk
    • Substance Abuse Treatment and Outcomes

Papers in

    • Hepatitis C virus research 36
    • Hepatitis B Virus Studies 13
    • Liver Disease Diagnosis and Treatment 12
    • HIV, Drug Use, Sexual Risk 8

Sofia Bartlett

49 papers receiving 678 citations

Peers

Sofia Bartlett
Comparison fields: 5 of 62
  • Hepatology 418
  • Epidemiology 262
  • Infectious Diseases 56
  • Virology 14
  • Public Health, Environmental and Occupational Health 61
Replace Jennifer V. Campbell with:
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Sofia Bartlett relative to Jennifer V. Campbell United States Jennifer V. Campbell's profile →
Citations per field
00.5×10×15×22.3×
Jennifer V. Campbell · 1×
Citations per year

Countries citing papers authored by Sofia Bartlett

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Bartlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020104
2 201964
3 201844
4 201943
5 201540
6 202139
7 201928
8 202026
9 201923
10 201623
11 202119
12 202119
13 202116
14 202115
15 202013
16 201513
17 202113
18 202111
19 202010
20 202310

About Sofia Bartlett

Sofia Bartlett is a scholar working on Hepatology, Epidemiology, Infectious Diseases, General Health Professions and Sociology and Political Science, having authored 56 papers that have together received 685 indexed citations. Recurring topics across this work include Hepatitis C virus research (36 papers), Hepatitis B Virus Studies (13 papers), Liver Disease Diagnosis and Treatment (12 papers), HIV, Drug Use, Sexual Risk (8 papers), COVID-19 Clinical Research Studies (3 papers), HIV/AIDS drug development and treatment (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Opioid Use Disorder Treatment (2 papers). The work is most often cited by research in Hepatology (418 citations), Epidemiology (262 citations), Infectious Diseases (56 citations), Virology (14 citations) and Public Health, Environmental and Occupational Health (61 citations). Sofia Bartlett has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Mark Tyndall, Naveed Z. Janjua, Adam Palayew, Thomas D. Brothers, Stanley Wong, Mel Krajden, Mawuena Binka, Matthew Bonn, Amanda Yu and Natasha Touesnard. Their work appears in journals such as Journal of Hepatology, Journal of Viral Hepatitis, Liver International, PLoS ONE and Clinical Infectious Diseases.

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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