Michael Bernhofer

2.1k citations
17 papers · 1.6k · h-index 15

Impact in

Papers in

    • Machine Learning in Bioinformatics 11
    • Protein Structure and Dynamics 6
    • RNA and protein synthesis mechanisms 1
    • Nuclear Structure and Function 1
    • Genomics and Phylogenetic Studies 1
    • Radiomics and Machine Learning in Medical Imaging 3

Michael Bernhofer

17 papers receiving 1.6k citations

Peers

Michael Bernhofer
Comparison fields: 5 of 105
  • Molecular Biology 835
  • Endocrinology 35
  • Health Informatics 20
  • Radiology, Nuclear Medicine and Imaging 162
  • Genetics 175
Replace Gregor Gunčar with:
Gregor Gunčar Slovenia
Gyoung‐Dong Kang United Kingdom
Yunhao Wang China
Taijiao Jiang China
Indu Khatri India
Wendi Bacon United Kingdom
Rachel Cooley United Kingdom
Scott M. Kirk United States
Selene M. Virk United States
Svilen S. Tzonev United States
Michael Bernhofer relative to Gregor Gunčar Slovenia Gregor Gunčar's profile →
Citations per field
00.5×2×3×4.4×
Gregor Gunčar · 1×
Citations per year

Countries citing papers authored by Michael Bernhofer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bernhofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014487
2 2014246
3 2021187
4 2021113
5 202091
6 201882
7 201774
8 202269
9 201965
10 201852
11 201638
12 202338
13 201424
14 201724
15 202216
16 201812
17 20184

About Michael Bernhofer

Michael Bernhofer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Genetics and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), Protein Structure and Dynamics (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), RNA and protein synthesis mechanisms (1 paper), Nuclear Structure and Function (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Genomics and Phylogenetic Studies (1 paper) and Glioma Diagnosis and Treatment (1 paper). The work is most often cited by research in Molecular Biology (835 citations), Endocrinology (35 citations), Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (162 citations) and Genetics (175 citations). Michael Bernhofer has collaborated with scholars based in Germany, United States and Luxembourg. Frequent co-authors include Burkhard Rost, Tatyana Goldberg, Edda Kloppmann, Michael Heinzinger, Andrea Schafferhans, Peter Hönigschmid, Guy Yachdav, Nir Ben‐Tal, Manfred Roos and Yana Bromberg. Their work appears in journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics, Strahlentherapie und Onkologie, BMC Bioinformatics and Physica Medica.

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.

Explore authors with similar magnitude of impact