John E. Dick
Impact in
- Hematology top 0.01%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Oncology top 0.02%
- Cancer Cells and Metastasis
Papers in
- Hematology 143
- Hematopoietic Stem Cell Transplantation 81
- Acute Myeloid Leukemia Research 74
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- RNA Interference and Gene Delivery 22
- Co-authors
- Dominique Bonnet (9 shared papers)Antonija Kreso (7 shared papers)Catherine O′Brien (5 shared papers)Jean Wang (40 shared papers)Steven Gallinger (4 shared papers)Aaron Pollett (2 shared papers)Barbara Murdoch (16 shared papers)Olga I. Gan (45 shared papers)
- Journals
- Blood (90 papers)Experimental Hematology (12 papers)Nature Medicine (10 papers)Proceedings of the National Academy of Sciences (9 papers)Cell stem cell (8 papers)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
John E. Dick
255 papers receiving 40.3k citations
John E. Dick's Hit Papers
Peers
Comparison fields: 5 of 164
- Hematology 11.4k
- Oncology 16.2k
- Genetics 4.7k
- Cancer Research 6.6k
- Immunology 7.9k
Countries citing papers authored by John E. Dick
This map shows the geographic impact of John E. Dick'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 John E. Dick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Dick more than expected).
Fields of papers citing papers by John E. Dick
This network shows the impact of papers produced by John E. Dick. 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 John E. Dick. The network helps show where John E. Dick may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Dick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 267 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human acute myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cell Hit paper breakdown → | 1997 | 5171 |
| 2 | A cell initiating human acute myeloid leukaemia after transplantation into SCID mice Hit paper breakdown → | 1994 | 3553 |
| 3 | A human colon cancer cell capable of initiating tumour growth in immunodeficient mice Hit paper breakdown → | 2006 | 3277 |
| 4 | Cancer Stem Cells—Perspectives on Current Status and Future Directions: AACR Workshop on Cancer Stem Cells Hit paper breakdown → | 2006 | 2402 |
| 5 | Evolution of the Cancer Stem Cell Model Hit paper breakdown → | 2014 | 1658 |
| 6 | Mass Cytometry: Technique for Real Time Single Cell Multitarget Immunoassay Based on Inductively Coupled Plasma Time-of-Flight Mass Spectrometry Hit paper breakdown → | 2009 | 979 |
| 7 | Targeting of CD44 eradicates human acute myeloid leukemic stem cells Hit paper breakdown → | 2006 | 922 |
| 8 | Stem cell concepts renew cancer research Hit paper breakdown → | 2008 | 761 |
| 9 | Stem cell gene expression programs influence clinical outcome in human leukemia Hit paper breakdown → | 2011 | 749 |
| 10 | Acute myeloid leukemia originates from a hierarchy of leukemic stem cell classes that differ in self-renewal capacity Hit paper breakdown → | 2004 | 721 |
| 11 | Purification of primitive human hematopoietic cells capable of repopulating immune-deficient mice Hit paper breakdown → | 1997 | 673 |
| 12 | Identification of primitive human hematopoietic cells capable of repopulating NOD/SCID mouse bone marrow: Implications for gene therapy Hit paper breakdown → | 1996 | 629 |
| 13 | Isolation of Single Human Hematopoietic Stem Cells Capable of Long-Term Multilineage Engraftment Hit paper breakdown → | 2011 | 610 |
| 14 | Hematopoiesis: A Human Perspective Hit paper breakdown → | 2012 | 579 |
| 15 | Variable Clonal Repopulation Dynamics Influence Chemotherapy Response in Colorectal Cancer Hit paper breakdown → | 2012 | 561 |
| 16 | Introduction of a selectable gene into primitive stem cells capable of long-term reconstitution of the hemopoietic system of W/W mice Hit paper breakdown → | 1985 | 544 |
| 17 | Inhibition of the LSD1 (KDM1A) demethylase reactivates the all-trans-retinoic acid differentiation pathway in acute myeloid leukemia Hit paper breakdown → | 2012 | 508 |
| 18 | Distinct routes of lineage development reshape the human blood hierarchy across ontogeny Hit paper breakdown → | 2015 | 499 |
| 19 | 1998 | 482 | |
| 20 | 2005 | 457 |
About John E. Dick
John E. Dick is a scholar working on Hematology, Molecular Biology, Immunology, Oncology and Genetics, having authored 267 papers that have together received 41.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (81 papers), Acute Myeloid Leukemia Research (74 papers), Immune Cell Function and Interaction (45 papers), Virus-based gene therapy research (35 papers), T-cell and B-cell Immunology (25 papers), Mesenchymal stem cell research (23 papers), Cancer Genomics and Diagnostics (23 papers) and RNA Interference and Gene Delivery (22 papers). The work is most often cited by research in Hematology (11.4k citations), Oncology (16.2k citations), Genetics (4.7k citations), Cancer Research (6.6k citations) and Immunology (7.9k citations). John E. Dick has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Dominique Bonnet, Antonija Kreso, Catherine O′Brien, Jean Wang, Steven Gallinger, Aaron Pollett, Barbara Murdoch, Olga I. Gan, Tsvee Lapidot and Liqing Jin. Their work appears in journals such as Blood, Experimental Hematology, Nature Medicine, Proceedings of the National Academy of Sciences and Cell stem cell.
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.