B. Mahr
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 14
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 12
- Immunotherapy and Immune Responses 3
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- Renal Transplantation Outcomes and Treatments 8
- Co-authors
- Thomas Wekerle (21 shared papers)Dieter Mewes (4 shared papers)Nina Pilat (15 shared papers)Karin Hock (10 shared papers)Christoph Schwarz (9 shared papers)Lukas Unger (10 shared papers)Moritz Muckenhuber (7 shared papers)Hartmut Ehrig (3 shared papers)
In The Last Decade
B. Mahr
35 papers receiving 535 citations
Peers
Comparison fields: 5 of 103
- Transplantation 121
- Immunology 234
- Hematology 71
- Computational Theory and Mathematics 67
- Software 13
Countries citing papers authored by B. Mahr
This map shows the geographic impact of B. Mahr'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 B. Mahr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Mahr more than expected).
Fields of papers citing papers by B. Mahr
This network shows the impact of papers produced by B. Mahr. 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 B. Mahr. The network helps show where B. Mahr may publish in the future.
Co-authors
The 25 scholars most cited alongside B. Mahr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 52 | |
| 2 | 1982 | 46 | |
| 3 | 2013 | 46 | |
| 4 | 2019 | 38 | |
| 5 | 2017 | 34 | |
| 6 | 2006 | 34 | |
| 7 | 2016 | 27 | |
| 8 | 2007 | 27 | |
| 9 | 2008 | 24 | |
| 10 | 2017 | 16 | |
| 11 | 2011 | 16 | |
| 12 | 1984 | 16 | |
| 13 | 2017 | 15 | |
| 14 | 2016 | 15 | |
| 15 | 2016 | 15 | |
| 16 | 2016 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2015 | 11 | |
| 20 | 2018 | 10 |
About B. Mahr
B. Mahr is a scholar working on Immunology, Transplantation, Hematology, Artificial Intelligence and Computational Theory and Mathematics, having authored 36 papers that have together received 553 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (12 papers), Renal Transplantation Outcomes and Treatments (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Logic, programming, and type systems (4 papers), Immunotherapy and Immune Responses (3 papers), Formal Methods in Verification (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Transplantation (121 citations), Immunology (234 citations), Hematology (71 citations), Computational Theory and Mathematics (67 citations) and Software (13 citations). B. Mahr has collaborated with scholars based in Austria, Germany and Spain. Frequent co-authors include Thomas Wekerle, Dieter Mewes, Nina Pilat, Karin Hock, Christoph Schwarz, Lukas Unger, Moritz Muckenhuber, Hartmut Ehrig, Hans‐Jörg Kreowski and Peter Padawitz. Their work appears in journals such as American Journal of Transplantation, Frontiers in Immunology, Journal of Immunology Research, Theoretical Computer Science and The Computer Journal.
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.