Esperance Schaefer

2.1k citations
46 papers · 1.2k · h-index 20

Impact in

Papers in

    • Hepatitis C virus research 11
    • Liver Disease Diagnosis and Treatment 11
    • Hepatitis B Virus Studies 4

Esperance Schaefer

42 papers receiving 1.1k citations

Peers

Esperance Schaefer
Comparison fields: 5 of 81
  • Hepatology 344
  • Infectious Diseases 234
  • Epidemiology 410
  • Immunology 154
  • Pathology and Forensic Medicine 116
Replace Isabel Ojanguren with:
Isabel Ojanguren Spain
Martin F. Sprinzl Germany
Linling Cheng United States
Antonio Riva United Kingdom
Elisabetta Loggi Italy
Nora A. Fierro Mexico
Ludger Leifeld Germany
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Xiaogang Xiang China
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Citations per field
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Citations per year

Countries citing papers authored by Esperance Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Esperance Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 201389
3 202288
4 201283
5 201269
6 201659
7 201348
8 202043
9 201742
10 201240
11 202139
12 201638
13 201537
14 201836
15 201829
16 201329
17 195129
18 202223
19 201621
20 201421

About Esperance Schaefer

Esperance Schaefer is a scholar working on Hepatology, Epidemiology, Pathology and Forensic Medicine, Surgery and Rheumatology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Hepatitis C virus research (11 papers), Alcohol Consumption and Health Effects (11 papers), Hepatitis B Virus Studies (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers), interferon and immune responses (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Hepatology (344 citations), Infectious Diseases (234 citations), Epidemiology (410 citations), Immunology (154 citations) and Pathology and Forensic Medicine (116 citations). Esperance Schaefer has collaborated with scholars based in United States, China and France. Frequent co-authors include Raymond T. Chung, Raymond T. Chung, Wenyu Lin, Jay Luther, Patricia P. Bloom, Lee F. Peng, Dahlene N. Fusco, Russell P. Goodman, Cynthia Brisac and Jenna Gustafson. Their work appears in journals such as Hepatology, Journal of Virology, Journal of Hepatology, Hepatology Communications and Clinical Gastroenterology and Hepatology.

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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