Dagmar Petermann

621 citations
14 papers · 476 · h-index 9

Impact in

Papers in

    • Hepatitis C virus research 6
    • Liver Diseases and Immunity 1
    • Hepatitis Viruses Studies and Epidemiology 1
    • Hepatitis B Virus Studies 5
    • Liver Disease Diagnosis and Treatment 4

Dagmar Petermann

13 papers receiving 454 citations

Peers

Dagmar Petermann
Comparison fields: 5 of 57
  • Hepatology 144
  • Pathology and Forensic Medicine 143
  • Epidemiology 189
  • Immunology 61
  • Infectious Diseases 24
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M Sata Japan
Peter J. Jenkins United Kingdom
Michelle Chung United States
Su‐Jen Lin Tsai Taiwan
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Đào Phương Giang Vietnam
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Citations per field
00.5×5.3×
M Sata · 1×
Citations per year

Countries citing papers authored by Dagmar Petermann

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Petermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2007113
2 199590
3 200069
4 199551
5 200741
6 199730
7 199724
8 199818
9 199411
10 20068
11 20208
12 19977
13 19996
14
DAGMAR PETERMANN AND CHRLSTLAN MIDLER: HEPATITIS B VIRUS DNA IN SERA AND LIVER TISSUE OF HBSAG NEGATIVE PATIENTS WITH CHRONIC HEPATITIS C
20000

About Dagmar Petermann

Dagmar Petermann is a scholar working on Hepatology, Epidemiology, Immunology, Pathology and Forensic Medicine and Infectious Diseases, having authored 14 papers that have together received 476 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Immunotherapy and Immune Responses (2 papers), Whipple's Disease and Interleukins (2 papers), Immune Response and Inflammation (2 papers), Liver Diseases and Immunity (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Hepatology (144 citations), Pathology and Forensic Medicine (143 citations), Epidemiology (189 citations), Immunology (61 citations) and Infectious Diseases (24 citations). Dagmar Petermann has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Christian Müller, Franz Pfeffel, Christian Oesterreicher, Maximilian Schöniger–Hekele, Christian Müller, Beate Weber, Lili Kazemi-Shirazi, Gere Sunder–Plassmann, Johann Hammer and Manfred Lehner. Their work appears in journals such as Journal of Hepatology, Kidney International, Journal of Immunotherapy, Hepatology and The American Journal of Gastroenterology.

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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