W. Schraut

886 citations
13 papers · 747 · h-index 6

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Immunology top 10%
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

W. Schraut

12 papers receiving 719 citations

Peers

W. Schraut
Comparison fields: 5 of 69
  • Hepatology 190
  • Immunology 296
  • Cancer Research 150
  • Epidemiology 264
  • Oncology 137
Replace Hans‐Peter Dienes with:
Hans‐Peter Dienes Germany
Eiki Matsushita Japan
Enriqueta Yagüe Spain
Kathy Keck United States
Anja Uhrig Germany
Fanching Lin United States
Andrea Worschech United States
Paloma Sanz-Cameno Spain
Xiaolan Fu China
Cheng-po Hu Taiwan
W. Schraut relative to Hans‐Peter Dienes Germany Hans‐Peter Dienes's profile →
Citations per field
00.5×1.5×2.0×
Hans‐Peter Dienes · 1×
Citations per year

Countries citing papers authored by W. Schraut

Since Specialization
Citations

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

Fields of papers citing papers by W. Schraut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1994275
2 1998179
3 1991143
4 199872
5 200551
6 199814
7 19723
8 19732
9 19972
10 20012
11 20072
12
[Autologous vein transplants for digital revascularization after hand injuries].
19811
13
[Expression of Lewis blood group antigens in stomach carcinoma induces metastatic potential].
19981

About W. Schraut

W. Schraut is a scholar working on Hepatology, Cancer Research, Epidemiology, Infectious Diseases and Immunology, having authored 13 papers that have together received 747 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (5 papers), SARS-CoV-2 detection and testing (1 paper), Cancer Genomics and Diagnostics (1 paper), Animal Virus Infections Studies (1 paper), Cancer Research and Treatments (1 paper), Cancer Cells and Metastasis (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Hepatology (190 citations), Immunology (296 citations), Cancer Research (150 citations), Epidemiology (264 citations) and Oncology (137 citations). W. Schraut has collaborated with scholars based in Germany, Croatia and Netherlands. Frequent co-authors include Ilona Funke, G. Riethmüller, Thomas Sternsdorf, Angela Wedel, M Ströbel, Juergen Haas, HW Ziegler-Heitbrock, P.A. Bäuerle, Roman Zachoval and G. R. Pape. Their work appears in journals such as Journal of Hepatology, Journal of Clinical Oncology, British Journal of Cancer, Journal of Biological Chemistry and The Thoracic and Cardiovascular Surgeon.

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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