V Weich

586 citations
21 papers · 480 · h-index 11

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Liver Diseases and Immunity
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis C virus research 18
    • Hepatitis B Virus Studies 9
    • Liver Disease Diagnosis and Treatment 9

V Weich

19 papers receiving 471 citations

Peers

V Weich
Comparison fields: 5 of 53
  • Hepatology 350
  • Epidemiology 325
  • Immunology 132
  • Biological Psychiatry 10
  • Rheumatology 51
Replace S. Klaymé with:
S. Klaymé Lebanon
Galia Askarieh Sweden
Roger Naman Lebanon
M. Capucchio Argentina
Richard Hagan Ireland
Shahzma Merani United States
Barbara Langer Germany
Elenita Rivera United States
Riina Salupere Estonia
R Heyne Germany
V Weich relative to S. Klaymé Lebanon S. Klaymé's profile →
Citations per field
00.5×2.7×
S. Klaymé · 1×
Citations per year

Countries citing papers authored by V Weich

Since Specialization
Citations

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

Fields of papers citing papers by V Weich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007113
2 200774
3 200765
4 200741
5 200941
6 200639
7 200523
8 201122
9 200717
10 201013
11 200911
12 20088
13 20064
14 20113
15 20092
16 20071
17 20081
18 20121
19 20111
20 20060

About V Weich

V Weich is a scholar working on Hepatology, Epidemiology, Immunology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 480 indexed citations. Recurring topics across this work include Hepatitis C virus research (18 papers), Hepatitis B Virus Studies (9 papers), Liver Disease Diagnosis and Treatment (9 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Diabetes and associated disorders (3 papers), Immune Response and Inflammation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hepatology (350 citations), Epidemiology (325 citations), Immunology (132 citations), Biological Psychiatry (10 citations) and Rheumatology (51 citations). V Weich has collaborated with scholars based in Germany, Australia and Estonia. Frequent co-authors include Thomas Berg, Juliane Halangk, A Bergk, Bertram Wiedenmann, Heiko Witt, Konrad Neumann, Gero Puhl, Eckart Schott, Tobias Müller and Christoph Sarrazin. Their work appears in journals such as Journal of Hepatology, Hepatology, Clinical Infectious Diseases, Infection Genetics and Evolution and Journal of Viral Hepatitis.

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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