C Baum
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- RNA Interference and Gene Delivery 7
- CRISPR and Genetic Engineering 3
- Genetics 10
- Virus-based gene therapy research 10
- Mesenchymal stem cell research 2
- Co-authors
- G W Comstock (2 shared papers)Dixie E. Snider (1 shared paper)Klaus Kühlcke (6 shared papers)Bernhard Schiedlmeier (5 shared papers)Stefan Früehauf (4 shared papers)H. G. Eckert (2 shared papers)W. Jens Zeller (2 shared papers)Christian Lindemann (3 shared papers)
- Journals
- Gene Therapy (5 papers)Bone Marrow Transplantation (3 papers)Leukemia (2 papers)Molecular Therapy (1 paper)Blood (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
C Baum
17 papers receiving 511 citations
Peers
Comparison fields: 5 of 52
- Infectious Diseases 209
- Genetics 223
- Epidemiology 174
- Oncology 134
- Hematology 49
Countries citing papers authored by C Baum
This map shows the geographic impact of C 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 C Baum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Baum more than expected).
Fields of papers citing papers by C Baum
This network shows the impact of papers produced by C 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 C Baum. The network helps show where C Baum may publish in the future.
Co-authors
The 25 scholars most cited alongside C 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
| # | Work | ||
|---|---|---|---|
| 1 | 1979 | 173 | |
| 2 | 2000 | 89 | |
| 3 | 2002 | 46 | |
| 4 | 2001 | 35 | |
| 5 | 2000 | 34 | |
| 6 | 2011 | 24 | |
| 7 | 2000 | 23 | |
| 8 | 1999 | 22 | |
| 9 | 1974 | 20 | |
| 10 | 2006 | 17 | |
| 11 | Activity of Friend mink cell focus-forming retrovirus during myelo-erythroid hematopoiesis. | 1996 | 13 |
| 12 | 2000 | 12 | |
| 13 | 2014 | 10 | |
| 14 | 2009 | 6 | |
| 15 | Analysis of candidate human blood stem cells in "humanized" immune-deficiency SCID mice. | 1993 | 5 |
| 16 | 2000 | 4 | |
| 17 | 2000 | 4 |
About C Baum
C Baum is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Oncology and Epidemiology, having authored 17 papers that have together received 537 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), RNA Interference and Gene Delivery (7 papers), CRISPR and Genetic Engineering (3 papers), HIV Research and Treatment (2 papers), Mesenchymal stem cell research (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (209 citations), Genetics (223 citations), Epidemiology (174 citations), Oncology (134 citations) and Hematology (49 citations). C Baum has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include G W Comstock, Dixie E. Snider, Klaus Kühlcke, Bernhard Schiedlmeier, Stefan Früehauf, H. G. Eckert, W. Jens Zeller, Christian Lindemann, Wolfram Ostertag and Boris Fehse. Their work appears in journals such as Gene Therapy, Bone Marrow Transplantation, Leukemia, Molecular Therapy and Blood.
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.