Gerd Michel

2.3k total citations
61 papers, 1.7k citations indexed

About

Gerd Michel is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Gerd Michel has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hepatology, 18 papers in Epidemiology and 13 papers in Molecular Biology. Recurrent topics in Gerd Michel's work include Hepatitis C virus research (20 papers), Liver Disease Diagnosis and Treatment (10 papers) and Hepatitis B Virus Studies (9 papers). Gerd Michel is often cited by papers focused on Hepatitis C virus research (20 papers), Liver Disease Diagnosis and Treatment (10 papers) and Hepatitis B Virus Studies (9 papers). Gerd Michel collaborates with scholars based in Germany, Switzerland and United States. Gerd Michel's co-authors include Guido Gerken, Michael P. Manns, Wilfried Bieger, K-H Meyer zum Büschenfelde, R. H. Decker, Bernd Puschendorf, Julian Gordon, Philip L. Felgner, Hugh Salamon and Shajo Kunnath-Velayudhan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Gerd Michel

61 papers receiving 1.6k citations

Peers

Gerd Michel
Comparison fields: 5 of 101
  • Epidemiology 822
  • Hepatology 646
  • Infectious Diseases 374
  • Molecular Biology 344
  • Cardiology and Cardiovascular Medicine 163
Replace Christian M. Lange with:
Christian M. Lange Germany
Shufeng Liu United States
Maria H. Sjögren United States
Rosa Vitale Italy
Ling Wang China
Masaru Shimizu Japan
Tatsuji Kimura Japan
Sobia Manzoor Pakistan
Stephanie Noviello United States
Christian M. Lange Germany View profile →
Citations per field, relative to Gerd Michel
Gerd Michel · 1×
Citations per year, relative to Gerd Michel
Gerd Michel · 1×

Countries citing papers authored by Gerd Michel

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerd Michel

This figure shows the co-authorship network connecting the top 25 collaborators of Gerd Michel. A scholar is included among the top collaborators of Gerd Michel 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 Gerd Michel. Gerd Michel 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 13
2 52
3 25
4 4
5
DETERMINATION OF HOMOCYSTEINE REFERENCE INTERVALS: DATA FROM THE EUROPEAN AUTOMATED FPIA STUDY
1
6 13
7 22
8 6
9 15
10 25
11 12
12 61
13 16
14
GOR-antibodies in patients with chronic liver disease and hepatocellular carcinoma.
1
15 31
16 7
17 14
18 58
19 10
20 4

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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