Heidi Barth

3.6k citations
62 papers · 2.7k · h-index 30

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis C virus research 30
    • Hepatitis B Virus Studies 17
    • Liver Disease Diagnosis and Treatment 4
    • Influenza Virus Research Studies 4

Heidi Barth

60 papers receiving 2.7k citations

Peers

Heidi Barth
Comparison fields: 5 of 113
  • Hepatology 1.6k
  • Epidemiology 1.2k
  • Virology 162
  • Biological Psychiatry 44
  • Rheumatology 261
Replace Norina Tang with:
Norina Tang United States
Eugene Agapov United States
Jörg Timm Germany
Leslie P. Cousens United States
Enrique Ortega Mexico
Emmanuelle Blanchard France
Emmanuel Drouet France
Stephen N. Waggoner United States
Sean E. Doyle United States
Mike Recher Switzerland
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Citations per field
00.5×7.2×
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Citations per year

Countries citing papers authored by Heidi Barth

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003371
2 2006212
3 2007186
4 2006148
5 200798
6 201491
7 200685
8 200579
9 200276
10 200874
11 201772
12 200271
13 200967
14 200865
15 200565
16 200459
17 201557
18 200257
19 201053
20 200852

About Heidi Barth

Heidi Barth is a scholar working on Hepatology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Immunology and Infectious Diseases, having authored 62 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (30 papers), Hepatitis B Virus Studies (17 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Systemic Lupus Erythematosus Research (6 papers), Polyomavirus and related diseases (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Influenza Virus Research Studies (4 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Hepatology (1.6k citations), Epidemiology (1.2k citations), Virology (162 citations), Biological Psychiatry (44 citations) and Rheumatology (261 citations). Heidi Barth has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Thomas F. Baumert, Hubert E. Blum, Erik Depla, Fritz von Weizsäcker, Mirjam B. Zeisel, Robert J. Linhardt, Françoise Stoll‐Keller, Fuming Zhang, Sharookh B. Kapadia and Jane A. McKeating. Their work appears in journals such as Journal of Virology, Hepatology, Journal of Clinical Investigation, Journal of Hepatology and Journal of Clinical Microbiology.

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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