GM Crooks
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Virus-based gene therapy research
- Mesenchymal stem cell research
Papers in
-
- Hematopoietic Stem Cell Transplantation 6
- Acute Myeloid Leukemia Research 1
-
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- Donald B. Kohn (4 shared papers)Charles Hannum (1 shared paper)Denise Petersen (1 shared paper)Flávia Torreão Thiemann (2 shared papers)Monika Smogorzewska (1 shared paper)David J. Rawlings (1 shared paper)Qingqin Hao (1 shared paper)Owen N. Witte (1 shared paper)
- Journals
- Blood (7 papers)Bone Marrow Transplantation (1 paper)Cancer treatment and research (1 paper)Journal of Pediatric Hematology/Oncology (1 paper)PubMed (2 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
GM Crooks
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 49
- Hematology 567
- Genetics 207
- Immunology 374
- Genetics 258
- Oncology 206
Countries citing papers authored by GM Crooks
This map shows the geographic impact of GM Crooks'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 GM Crooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GM Crooks more than expected).
Fields of papers citing papers by GM Crooks
This network shows the impact of papers produced by GM Crooks. 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 GM Crooks. The network helps show where GM Crooks may publish in the future.
Co-authors
The 25 scholars most cited alongside GM Crooks, 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 | 1995 | 377 | |
| 2 | 1996 | 223 | |
| 3 | 1996 | 199 | |
| 4 | 1993 | 100 | |
| 5 | 1995 | 52 | |
| 6 | Differentiation of human CD34+CD38- cord blood stem cells into B cell progenitors in vitro. | 1997 | 48 |
| 7 | 1999 | 40 | |
| 8 | Hematopoietic stem cell transplantation for primary lymphoid immunodeficiencies. | 1998 | 11 |
| 9 | 1995 | 6 | |
| 10 | 1991 | 5 | |
| 11 | 1993 | 5 | |
| 12 | 2004 | 2 |
About GM Crooks
GM Crooks is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Genetics, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Immune Cell Function and Interaction (3 papers), Virus-based gene therapy research (3 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Acute Myeloid Leukemia Research (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Hematology (567 citations), Genetics (207 citations), Immunology (374 citations), Genetics (258 citations) and Oncology (206 citations). GM Crooks has collaborated with scholars based in United States and Australia. Frequent co-authors include Donald B. Kohn, Charles Hannum, Denise Petersen, Flávia Torreão Thiemann, Monika Smogorzewska, David J. Rawlings, Qingqin Hao, Owen N. Witte, Shuo Quan and Jan A. Nolta. Their work appears in journals such as Blood, Bone Marrow Transplantation, Cancer treatment and research, Journal of Pediatric Hematology/Oncology 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.