Leon Bichmann
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Advanced Proteomics Techniques and Applications 7
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- vaccines and immunoinformatics approaches 10
- Protein Structure and Dynamics 2
- Co-authors
- Peter Cimermančič (1 shared paper)Andrej Šali (1 shared paper)Rahel A. Woldeyes (1 shared paper)D.A. Keedy (1 shared paper)Dina Schneidman‐Duhovny (1 shared paper)Patrick Weinkam (1 shared paper)Omar Demerdash (1 shared paper)James S. Fraser (1 shared paper)
- Journals
- Journal of Proteome Research (3 papers)Journal for ImmunoTherapy of Cancer (2 papers)Blood (1 paper)Nature Methods (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Leon Bichmann
17 papers receiving 794 citations
Peers
Comparison fields: 5 of 66
- Immunology 181
- Spectroscopy 139
- Oncology 179
- Computational Theory and Mathematics 131
- Molecular Biology 388
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 | 193 | |
| 2 | 2021 | 173 | |
| 3 | 2019 | 113 | |
| 4 | 2018 | 55 | |
| 5 | 2014 | 46 | |
| 6 | 2024 | 41 | |
| 7 | 2019 | 40 | |
| 8 | 2022 | 33 | |
| 9 | 2021 | 28 | |
| 10 | 2014 | 22 | |
| 11 | 2019 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2023 | 9 | |
| 14 | 2020 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2020 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Leon Bichmann
Leon Bichmann is a scholar working on Spectroscopy, Molecular Biology, Immunology, Computational Theory and Mathematics and Oncology, having authored 18 papers that have together received 804 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (10 papers), Advanced Proteomics Techniques and Applications (7 papers), Immunotherapy and Immune Responses (3 papers), Protein Structure and Dynamics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Computational Drug Discovery Methods (2 papers), Proteoglycans and glycosaminoglycans research (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (181 citations), Spectroscopy (139 citations), Oncology (179 citations), Computational Theory and Mathematics (131 citations) and Molecular Biology (388 citations). Leon Bichmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Cimermančič, Andrej Šali, Rahel A. Woldeyes, D.A. Keedy, Dina Schneidman‐Duhovny, Patrick Weinkam, Omar Demerdash, James S. Fraser, T.J. Rettenmaier and James A. Wells. Their work appears in journals such as Journal of Proteome Research, Journal for ImmunoTherapy of Cancer, Blood, Nature Methods and Frontiers in Bioengineering and Biotechnology.
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.