Christopher Baum
Impact in
Papers in
- Genetics 87
- Virus-based gene therapy research 84
- Blood disorders and treatments 3
- Hematology 18
- Hematopoietic Stem Cell Transplantation 15
- Co-authors
- Axel Schambach (39 shared papers)Ute Modlich (27 shared papers)Boris Fehse (14 shared papers)David A. Williams (12 shared papers)Zhixiong Li (17 shared papers)Melanie Galla (14 shared papers)Olga S. Kustikova (10 shared papers)Christof V. Kalle (6 shared papers)
- Journals
- Molecular Therapy (27 papers)Blood (20 papers)Human Gene Therapy (8 papers)Experimental Hematology (5 papers)Journal of Virology (5 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Christopher Baum
111 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 100
- Genetics 3.2k
- Virology 335
- Hematology 672
- Oncology 558
- Molecular Biology 1.4k
Countries citing papers authored by Christopher Baum
This map shows the geographic impact of Christopher Baum'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 Christopher Baum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Baum more than expected).
Fields of papers citing papers by Christopher Baum
This network shows the impact of papers produced by Christopher Baum. 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 Christopher Baum. The network helps show where Christopher Baum may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Baum, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 334 | |
| 2 | 2006 | 313 | |
| 3 | 2005 | 288 | |
| 4 | 2006 | 288 | |
| 5 | 2008 | 242 | |
| 6 | 2011 | 229 | |
| 7 | 2004 | 188 | |
| 8 | 2008 | 168 | |
| 9 | 2003 | 166 | |
| 10 | 2013 | 141 | |
| 11 | 2008 | 135 | |
| 12 | 1999 | 134 | |
| 13 | 2003 | 129 | |
| 14 | 2003 | 128 | |
| 15 | 2007 | 125 | |
| 16 | 2007 | 121 | |
| 17 | 2006 | 117 | |
| 18 | 2011 | 114 | |
| 19 | 2007 | 106 | |
| 20 | 2003 | 104 |
About Christopher Baum
Christopher Baum is a scholar working on Genetics, Hematology, Virology, Molecular Biology and Oncology, having authored 113 papers that have together received 6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (84 papers), Hematopoietic Stem Cell Transplantation (15 papers), Pluripotent Stem Cells Research (7 papers), HIV Research and Treatment (5 papers), CRISPR and Genetic Engineering (4 papers), Blood disorders and treatments (3 papers), DNA Repair Mechanisms (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Genetics (3.2k citations), Virology (335 citations), Hematology (672 citations), Oncology (558 citations) and Molecular Biology (1.4k citations). Christopher Baum has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Axel Schambach, Ute Modlich, Boris Fehse, David A. Williams, Zhixiong Li, Melanie Galla, Olga S. Kustikova, Christof V. Kalle, Tobias Maetzig and Johann Meyer. Their work appears in journals such as Molecular Therapy, Blood, Human Gene Therapy, Experimental Hematology and Journal of Virology.
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.