C Baum
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 3
- Molecular Biology Techniques and Applications 1
- Genetics 4
- Virus-based gene therapy research 4
- Animal Genetics and Reproduction 2
- Co-authors
- Bruno Péault (1 shared paper)I L Weissman (2 shared papers)Atsushi Tsukamoto (2 shared papers)Ashley M. Buckle (1 shared paper)Wolfram Ostertag (2 shared papers)Nicholas R. Staten (1 shared paper)James W. Thomas (1 shared paper)John P. McKearn (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Leukemia (1 paper)Molecular Therapy (1 paper)Experimental Hematology (1 paper)PubMed (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
C Baum
6 papers receiving 843 citations
C Baum's Hit Papers
Peers
Comparison fields: 5 of 63
- Hematology 443
- Genetics 233
- Immunology 295
- Oncology 176
- Molecular Biology 326
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 21 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 | Isolation of a candidate human hematopoietic stem-cell population. Hit paper breakdown → | 1992 | 804 |
| 2 | 1995 | 46 | |
| 3 | 2002 | 20 | |
| 4 | 2003 | 9 | |
| 5 | Retroviral vector-mediated gene expression in hematopoietic cells. | 1999 | 9 |
| 6 | IDENTIFICATION OF A NOVEL RARE, HUMAN BONE-MARROW POPULATION WITH HEMATOPOIETIC STEM-CELL ACTIVITY .2. INVIVO STUDIES IN IMMUNODEFICIENT SCID MICE ENGRAFTED WITH HUMAN BLOOD-FORMING ORGANS | 1991 | 1 |
| 7 | CHARACTERIZATION AND PURIFICATION OF CANDIDATE MOUSE AND HUMAN HEMATOPOIETIC STEM-CELLS | 1993 | 0 |
About C Baum
C Baum is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 889 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), CRISPR and Genetic Engineering (3 papers), Immune Cell Function and Interaction (2 papers), Animal Genetics and Reproduction (2 papers), Digital Imaging for Blood Diseases (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Hematology (443 citations), Genetics (233 citations), Immunology (295 citations), Oncology (176 citations) and Molecular Biology (326 citations). C Baum has collaborated with scholars based in Germany and United States. Frequent co-authors include Bruno Péault, I L Weissman, Atsushi Tsukamoto, Ashley M. Buckle, Wolfram Ostertag, Nicholas R. Staten, James W. Thomas, John P. McKearn, Barbara K. Klein and William F. Hood. Their work appears in journals such as Proceedings of the National Academy of Sciences, Leukemia, Molecular Therapy, Experimental Hematology and PubMed.
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.