Leon Bichmann
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- Glycosylation and Glycoproteins Research
Papers in
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- vaccines and immunoinformatics approaches 7
- Metabolomics and Mass Spectrometry Studies 4
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- Advanced Proteomics Techniques and Applications 4
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Sergey A. Samsonov (1 shared paper)T.J. Rettenmaier (1 shared paper)Dina Schneidman‐Duhovny (1 shared paper)Julie C. Mitchell (1 shared paper)James A. Wells (1 shared paper)M. Teresa Pisabarro (1 shared paper)Andrej Šali (1 shared paper)Patrick Weinkam (1 shared paper)
- Journals
- Journal of Proteome Research (3 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Blood (1 paper)The Journal of Experimental Medicine (1 paper)iScience (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Leon Bichmann
14 papers receiving 378 citations
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 91
- Molecular Biology 282
- Spectroscopy 52
- Immunology 51
- Cell Biology 40
Countries citing papers authored by Leon Bichmann
This map shows the geographic impact of Leon Bichmann'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 Leon Bichmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Bichmann more than expected).
Fields of papers citing papers by Leon Bichmann
This network shows the impact of papers produced by Leon Bichmann. 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 Leon Bichmann. The network helps show where Leon Bichmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Leon Bichmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 181 | |
| 2 | 2014 | 46 | |
| 3 | 2019 | 33 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 23 | |
| 6 | 2014 | 22 | |
| 7 | 2021 | 19 | |
| 8 | 2019 | 15 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2026 | 0 | |
| 16 | 2025 | 0 |
About Leon Bichmann
Leon Bichmann is a scholar working on Molecular Biology, Spectroscopy, Oncology, Immunology and Epidemiology, having authored 16 papers that have together received 383 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (7 papers), Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Immunotherapy and Immune Responses (3 papers), Peptidase Inhibition and Analysis (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Multiple Myeloma Research and Treatments (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (91 citations), Molecular Biology (282 citations), Spectroscopy (52 citations), Immunology (51 citations) and Cell Biology (40 citations). Leon Bichmann has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Sergey A. Samsonov, T.J. Rettenmaier, Dina Schneidman‐Duhovny, Julie C. Mitchell, James A. Wells, M. Teresa Pisabarro, Andrej Šali, Patrick Weinkam, Peter Cimermančič and Omar Demerdash. Their work appears in journals such as Journal of Proteome Research, Frontiers in Bioengineering and Biotechnology, Blood, The Journal of Experimental Medicine and iScience.
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.