Juliane Doerrbecker

2.4k citations
17 papers · 549 · 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

Papers in

    • Hepatitis C virus research 13
    • Hepatitis B Virus Studies 4
    • Liver Disease Diagnosis and Treatment 2

Juliane Doerrbecker

17 papers receiving 537 citations

Peers

Juliane Doerrbecker
Comparison fields: 5 of 78
  • Hepatology 275
  • Epidemiology 243
  • Virology 29
  • Infectious Diseases 93
  • Animal Science and Zoology 43
Replace Yoshiyuki Nakatsuji with:
Yoshiyuki Nakatsuji Japan
Ruth Offergeld Germany
Takako Inoue Japan
Cesar de Almeida‐Neto Brazil
Vinca Icard France
Dongsheng Li Australia
Jaye P. Brodsky United States
L. F. Barker United States
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Juliane Doerrbecker relative to Yoshiyuki Nakatsuji Japan Yoshiyuki Nakatsuji's profile →
Citations per field
00.5×10×20×27.5×
Yoshiyuki Nakatsuji · 1×
Citations per year

Countries citing papers authored by Juliane Doerrbecker

Since Specialization
Citations

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

Fields of papers citing papers by Juliane Doerrbecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014101
2 201387
3 201186
4 201254
5 201245
6 202031
7 201522
8 202119
9 201318
10 201017
11 201616
12 201315
13 201614
14 201514
15 20146
16 20163
17 20151

About Juliane Doerrbecker

Juliane Doerrbecker is a scholar working on Hepatology, Epidemiology, Rheumatology, Pathology and Forensic Medicine and Virology, having authored 17 papers that have together received 549 indexed citations. Recurring topics across this work include Hepatitis C virus research (13 papers), Hepatitis B Virus Studies (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Systemic Lupus Erythematosus Research (2 papers), HIV Research and Treatment (1 paper), Multiple Sclerosis Research Studies (1 paper), Animal Disease Management and Epidemiology (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Hepatology (275 citations), Epidemiology (243 citations), Virology (29 citations), Infectious Diseases (93 citations) and Animal Science and Zoology (43 citations). Juliane Doerrbecker has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Eike Steinmann, Thomas Pietschmann, Martina Friesland, Thomas Pietschmann, Pedro Mateu‐Gelabert, Sandra Ciesek, Richard J. P. Brown, Jochen Steinmann, Thomas Erichsen and Jörg Steinmann. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, Hepatology, JMIR Public Health and Surveillance and Journal of Neuroimmunology.

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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