Christoph Bernau

733 citations
22 papers · 482 indexed · h-index 12
Topics
Gene expression and cancer classification (11 papers)Molecular Biology Techniques and Applications (4 papers)Machine Learning and Data Classification (3 papers)

In The Last Decade

Christoph Bernau

21 papers receiving 473 citations

Peers

Christoph Bernau
Comparison fields: 5 of 97
  • Molecular Biology 161
  • Pulmonary and Respiratory Medicine 111
  • Epidemiology 81
  • Neurology 67
  • Physiology 61
Replace Miguel Domínguez with:
Miguel Domínguez Spain
Martha Matsumoto United States
Swati Satturwar United States
C Com-Nougué France
Yongming Zhang China
Logan C. Walker New Zealand
En Yun Loy Singapore
Giuseppe Fanetti Italy
Claus Lohman Brasen Denmark
Anne E. Fung United States
Christoph Bernau relative to Miguel Domínguez Spain Miguel Domínguez's profile →
Citations per field
00.5×6.8×
Miguel Domínguez · 1×
Citations per year

Countries citing papers authored by Christoph Bernau

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Bernau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Bernau

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Bernau. A scholar is included among the top collaborators of Christoph Bernau 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 Christoph Bernau. Christoph Bernau 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
#WorkIndexed citations
1 5
2 2
3
Ocular ischaemic complications in giant cell arteritis: CHADS2-score predicts risk of permanent visual impairment.
13
4 14
5 17
6 3
7 22
8 0
9 16
10 38
11 87
12 17
13 59
14 5
15 69
16 16
17 2
18 3
19 2
20 1

About Christoph Bernau

Christoph Bernau is a scholar working on Internal Medicine, Emergency Medical Services and Ophthalmology, having authored 22 papers that have together received 482 indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Molecular Biology Techniques and Applications (4 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Internal Medicine (22 citations), Neurology (67 citations) and Cancer Research (59 citations). Christoph Bernau has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Anne‐Laure Boulesteix, Levi Waldron, Giovanni Parmigiani, Markus Riester, Curtis Huttenhower, Nina Lummel, Jennifer Linn, Roman Hornung, Lorenzo Trippa and Christian Opherk. Their work appears in journals such as Bioinformatics, JNCI Journal of the National Cancer Institute and Biometrics.

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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