Ruth Broering

2.8k citations
60 papers · 2.2k indexed · h-index 26

Impact in

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

Papers in

    • Hepatitis C virus research 29
    • Hepatitis Viruses Studies and Epidemiology 8
    • Liver physiology and pathology 5
    • Hepatitis B Virus Studies 33
    • Liver Disease Diagnosis and Treatment 18

Ruth Broering

60 papers receiving 2.2k citations

Peers

Ruth Broering
Comparison fields: 5 of 87
  • Hepatology 1.1k
  • Epidemiology 1.4k
  • Immunology 758
  • Infectious Diseases 255
  • Cancer Research 169
Replace Emmanuel Thomas with:
Emmanuel Thomas United States
Kaku Goto Japan
Silke Hegenbarth Germany
Jun Inoue Japan
Anna Schurich United Kingdom
Marianna Hösel Germany
Hiromichi Dansako Japan
Esther Larrea Spain
Eiji Kakazu Japan
Olivier Diaz France
Ruth Broering relative to Emmanuel Thomas United States Emmanuel Thomas's profile →
Citations per field
00.5×2.9×
Emmanuel Thomas · 1×
Citations per year

Countries citing papers authored by Ruth Broering

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Broering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20231
4 202315
5 20236
6 20231
7 202215
8 202212
9 202115
10 20218
11 202034
12 201734
13 201615
14 201232
15 201261
16 2009180
17 200969
18 20082
19 200883
20 2007234

About Ruth Broering

Ruth Broering is a scholar working on Hepatology, Epidemiology, Immunology, Cell Biology and Virology, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (33 papers), Hepatitis C virus research (29 papers), Liver Disease Diagnosis and Treatment (18 papers), Immune Response and Inflammation (10 papers), Hepatitis Viruses Studies and Epidemiology (8 papers), Immune Cell Function and Interaction (7 papers), interferon and immune responses (6 papers) and Liver physiology and pathology (5 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (1.4k citations), Immunology (758 citations), Infectious Diseases (255 citations) and Cancer Research (169 citations). Ruth Broering has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Mengji Lu, JF Schlaak, Guido Gerken, Martin Trippler, Zhongji Meng, Ulf Dittmer, Jun Wu, Michael Roggendorf, Dongliang Yang and Min Jiang. Their work appears in journals such as Journal of Hepatology, Hepatology, Journal of Viral Hepatitis, Scientific Reports and Frontiers in Immunology.

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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