Michael Braxenthaler

1.5k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Michael Braxenthaler is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Michael Braxenthaler has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Cell Biology. Recurrent topics in Michael Braxenthaler's work include Protein Structure and Dynamics (5 papers), Bioinformatics and Genomic Networks (4 papers) and Enzyme Structure and Function (4 papers). Michael Braxenthaler is often cited by papers focused on Protein Structure and Dynamics (5 papers), Bioinformatics and Genomic Networks (4 papers) and Enzyme Structure and Function (4 papers). Michael Braxenthaler collaborates with scholars based in United States, Germany and United Kingdom. Michael Braxenthaler's co-authors include Juergen Hammer, Laura Raddrizzani, Jiayi Ding, Uğur Şahin, Tiziana Sturniolo, Francesco Sinigaglia, Oezlem Tuereci, Elisa Bono, Fabio Gallazzi and Maria Pia Protti and has published in prestigious journals such as Nature Biotechnology, Journal of Molecular Biology and Nature Reviews Drug Discovery.

In The Last Decade

Michael Braxenthaler

17 papers receiving 1.1k citations

Hit Papers

Generation of tissue-specific and promiscuous HLA ligand ... 1999 2026 2008 2017 1999 200 400 600

Peers

Michael Braxenthaler
Comparison fields: 5 of 99
  • Molecular Biology 831
  • Immunology 386
  • Radiology, Nuclear Medicine and Imaging 215
  • Epidemiology 97
  • Infectious Diseases 89
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Citations per field, relative to Michael Braxenthaler
Michael Braxenthaler · 1×
Citations per year, relative to Michael Braxenthaler
Michael Braxenthaler · 1×

Countries citing papers authored by Michael Braxenthaler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Braxenthaler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Braxenthaler

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Braxenthaler. A scholar is included among the top collaborators of Michael Braxenthaler 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 Michael Braxenthaler. Michael Braxenthaler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 7
2 2
3 164
4
tranSMART: An Open Source and Community-Driven Informatics and Data Sharing Platform for Clinical and Translational Research.
61
5 10
6 11
7 30
8 4
9
Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices breakdown →
606
10 5
11
Chaos in protein dynamics.
56
12 3
13 55
14 18
15 81
16 9
17 5

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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