Adam Greenbaum
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
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- Hematopoietic Stem Cell Transplantation 7
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- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 3
- Co-authors
- Daniel C. LinkPriya GopalanLaura G. SchuettpelzJoshua N. BorgerdingYen‐Michael S. HsuRyan B. DayMatthew ChristopherTakashi Nagasawa
- Journals
- Blood (9 papers)Leukemia (2 papers)Journal of Clinical Oncology (1 paper)Circulation Research (1 paper)Nature (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Adam Greenbaum
18 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Hematology 859
- Genetics 503
- Immunology 998
- Oncology 494
- Cancer Research 122
Countries citing papers authored by Adam Greenbaum
This map shows the geographic impact of Adam Greenbaum'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 Adam Greenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Greenbaum more than expected).
Fields of papers citing papers by Adam Greenbaum
This network shows the impact of papers produced by Adam Greenbaum. 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 Adam Greenbaum. The network helps show where Adam Greenbaum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam Greenbaum, 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 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 9 | |
| 4 | 2019 | 11 | |
| 5 | 2019 | 4 | |
| 6 | 2019 | 1 | |
| 7 | 2019 | 1 | |
| 8 | 2017 | 4 | |
| 9 | 2014 | 111 | |
| 10 | CXCL12 in early mesenchymal progenitors is required for haematopoietic stem-cell maintenance Hit paper breakdown → | 2013 | 1026 |
| 11 | 2013 | 1 | |
| 12 | 2012 | 71 | |
| 13 | 2012 | 3 | |
| 14 | 2011 | 1 | |
| 15 | 2011 | 78 | |
| 16 | 2010 | 162 | |
| 17 | CXCR2 and CXCR4 antagonistically regulate neutrophil trafficking from murine bone marrow Hit paper breakdown → | 2010 | 581 |
| 18 | 2009 | 1 |
About Adam Greenbaum
Adam Greenbaum is a scholar working on Hematology, Immunology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (3 papers), Chemokine receptors and signaling (3 papers), Viral-associated cancers and disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (859 citations), Genetics (503 citations), Immunology (998 citations), Oncology (494 citations) and Cancer Research (122 citations). Adam Greenbaum has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Daniel C. Link, Priya Gopalan, Laura G. Schuettpelz, Joshua N. Borgerding, Yen‐Michael S. Hsu, Ryan B. Day, Matthew Christopher, Takashi Nagasawa, Jill Woloszynek and Roberto Civitelli. Their work appears in journals such as Blood, Leukemia, Journal of Clinical Oncology, Circulation Research and Nature.
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.