Beat Helbling

2.2k total citations
20 papers, 945 citations indexed

About

Beat Helbling is a scholar working on Epidemiology, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, Beat Helbling has authored 20 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 16 papers in Hepatology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Beat Helbling's work include Liver Disease Diagnosis and Treatment (15 papers), Hepatitis C virus research (14 papers) and Hepatitis B Virus Studies (11 papers). Beat Helbling is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Hepatitis C virus research (14 papers) and Hepatitis B Virus Studies (11 papers). Beat Helbling collaborates with scholars based in Switzerland, Italy and Canada. Beat Helbling's co-authors include Jean‐François Dufour, Jean‐Jacques Gonvers, Andreas Cerny, Carl Oneta, M Steuerwald, Florian Bihl, Jean–Michel Cereda, Arthur Zimmermann, Francesco Negro and Olivia Keiser and has published in prestigious journals such as Hepatology, Gut and Journal of Hepatology.

In The Last Decade

Beat Helbling

20 papers receiving 908 citations

Peers

Beat Helbling
Comparison fields: 5 of 68
  • Epidemiology 767
  • Hepatology 659
  • Endocrinology, Diabetes and Metabolism 193
  • Pathology and Forensic Medicine 121
  • Molecular Biology 79
Replace Ilaria Serio with:
Ilaria Serio Italy
Sylvie Grimbert France
Joy Peter United States
Flavia Mendes United States
Richard Skoien Australia
Yuankai Wu China
Gi‐Ae Kim South Korea
Angeline Oi–Shan Lo Hong Kong
Sam Trinh United States
Sonia Rossi Italy
Ilaria Serio Italy View profile →
Citations per field, relative to Beat Helbling
Beat Helbling · 1×
Citations per year, relative to Beat Helbling
Beat Helbling · 1×

Countries citing papers authored by Beat Helbling

Since Specialization
Citations

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

Fields of papers citing papers by Beat Helbling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beat Helbling

This figure shows the co-authorship network connecting the top 25 collaborators of Beat Helbling. A scholar is included among the top collaborators of Beat Helbling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beat Helbling. Beat Helbling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 12
3 6
4 2
5 67
6 57
7 2
8 41
9 28
10 49
11 21
12 53
13 266
14 3
15 61
16 140
17 30
18 35
19 56
20
[Reactivation of hepatitis B following withdrawal of chloroquine].
7

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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