David Bryder
Impact in
- Hematology top 0.1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 0.5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
- Hematology 93
- Hematopoietic Stem Cell Transplantation 74
- Acute Myeloid Leukemia Research 38
- Immunology 61
- Immune Cell Function and Interaction 37
- T-cell and B-cell Immunology 36
- Immunotherapy and Immune Responses 12
- Co-authors
- Irving L. WeissmanDerrick J. RossiSten Eirik W. JacobsenMikael SigvardssonRobert MånssonJörgen AdolfssonCornelis Jan PronkEwa Sitnicka
- Journals
- Blood (22 papers)The Journal of Experimental Medicine (10 papers)Cell Reports (8 papers)Experimental Hematology (8 papers)Leukemia (6 papers)
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
David Bryder
120 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Hematology 4.6k
- Immunology 3.9k
- Aging 294
- Genetics 1.4k
- Molecular Biology 4.8k
Countries citing papers authored by David Bryder
This map shows the geographic impact of David Bryder'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 David Bryder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bryder more than expected).
Fields of papers citing papers by David Bryder
This network shows the impact of papers produced by David Bryder. 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 David Bryder. The network helps show where David Bryder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Bryder, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 23 | |
| 13 | 2018 | 147 | |
| 14 | Functionally distinct hematopoietic stem cells modulate hematopoietic lineage potential during aging by a mechanism of clonal expansion Hit paper breakdown → | 2010 | 506 |
| 15 | 2009 | 96 | |
| 16 | 2009 | 93 | |
| 17 | 2007 | 75 | |
| 18 | 2006 | 52 | |
| 19 | 2005 | 96 | |
| 20 | 2004 | 14 |
About David Bryder
David Bryder is a scholar working on Hematology, Immunology, Genetics, Molecular Biology and Cancer Research, having authored 123 papers that have together received 10.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (74 papers), Acute Myeloid Leukemia Research (38 papers), Immune Cell Function and Interaction (37 papers), T-cell and B-cell Immunology (36 papers), Single-cell and spatial transcriptomics (19 papers), Immunotherapy and Immune Responses (12 papers), Pluripotent Stem Cells Research (9 papers) and Mesenchymal stem cell research (9 papers). The work is most often cited by research in Hematology (4.6k citations), Immunology (3.9k citations), Aging (294 citations), Genetics (1.4k citations) and Molecular Biology (4.8k citations). David Bryder has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Irving L. Weissman, Derrick J. Rossi, Sten Eirik W. Jacobsen, Mikael Sigvardsson, Robert Månsson, Jörgen Adolfsson, Cornelis Jan Pronk, Ewa Sitnicka, Jun Seita and Kim Theilgaard‐Mönch. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Cell Reports, Experimental Hematology and Leukemia.
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.