David Cook
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
-
- Cancer-related gene regulation 2
-
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 2
- Co-authors
- Paul G. Genever (2 shared papers)HJ Sutherland (2 shared papers)CJ Eaves (2 shared papers)Donna E. Hogge (1 shared paper)L.M. Henderson (1 shared paper)Mary Elizabeth Pownall (1 shared paper)Patrick OʼShea (1 shared paper)Gordon Purdie (1 shared paper)
- Journals
- Blood (2 papers)Stem Cells (1 paper)Advances in experimental medicine and biology (1 paper)Stem Cell Research (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
David Cook
13 papers receiving 341 citations
Peers
Comparison fields: 5 of 78
- Genetics 82
- Hematology 85
- Obstetrics and Gynecology 55
- Pediatrics, Perinatology and Child Health 62
- Immunology 49
Countries citing papers authored by David Cook
This map shows the geographic impact of David Cook'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 Cook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cook more than expected).
Fields of papers citing papers by David Cook
This network shows the impact of papers produced by David Cook. 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 Cook. The network helps show where David Cook may publish in the future.
Co-authors
The 25 scholars most cited alongside David Cook, 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 | 1993 | 76 | |
| 2 | 2013 | 70 | |
| 3 | 1967 | 47 | |
| 4 | 2016 | 38 | |
| 5 | 2013 | 31 | |
| 6 | 1995 | 28 | |
| 7 | 1969 | 24 | |
| 8 | 2016 | 18 | |
| 9 | 2005 | 10 | |
| 10 | 1993 | 8 | |
| 11 | 2018 | 7 | |
| 12 | The conceptual analysis of a dynamic mathematical model for the estimation of the amino acid requirements for pigs from weaning to maturity | 1991 | 4 |
| 13 | Jam-a is highly expressed on human hematopoietic repopulating cells and associates with the key hematopoietic chemokine receptor cxcr4: JAM-A on human hematopoietic stem cells | 2016 | 1 |
About David Cook
David Cook is a scholar working on Molecular Biology, Hematology, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 13 papers that have together received 362 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Mesenchymal stem cell research (2 papers), Acute Myeloid Leukemia Research (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer-related gene regulation (2 papers), Birth, Development, and Health (2 papers), Pregnancy and preeclampsia studies (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Genetics (82 citations), Hematology (85 citations), Obstetrics and Gynecology (55 citations), Pediatrics, Perinatology and Child Health (62 citations) and Immunology (49 citations). David Cook has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Paul G. Genever, HJ Sutherland, CJ Eaves, Donna E. Hogge, L.M. Henderson, Mary Elizabeth Pownall, Patrick OʼShea, Gordon Purdie, J D Hutton and Peter Stone. Their work appears in journals such as Blood, Stem Cells, Advances in experimental medicine and biology, Stem Cell Research and Journal of Molecular Biology.
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.