James Gajewski
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Hematology 12
- Hematopoietic Stem Cell Transplantation 7
- Acute Myeloid Leukemia Research 6
- Oncology 5
- Neutropenia and Cancer Infections 3
- Co-authors
- Richard E. Champlin (5 shared papers)Issa F. Khouri (4 shared papers)Paolo Anderlini (4 shared papers)Sergio Giralt (5 shared papers)Avichai Shimoni (2 shared papers)Marcos de Lima (2 shared papers)Naoto T. Ueno (2 shared papers)S. Giralt (1 shared paper)
- Journals
- British Journal of Haematology (4 papers)American Journal of Hematology (2 papers)Journal of Clinical Oncology (1 paper)Transplantation (1 paper)Biology of Blood and Marrow Transplantation (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
James Gajewski
13 papers receiving 827 citations
Peers
Comparison fields: 5 of 53
- Hematology 635
- Immunology 338
- Transplantation 42
- Genetics 139
- Oncology 246
Countries citing papers authored by James Gajewski
This map shows the geographic impact of James Gajewski'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 James Gajewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Gajewski more than expected).
Fields of papers citing papers by James Gajewski
This network shows the impact of papers produced by James Gajewski. 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 James Gajewski. The network helps show where James Gajewski may publish in the future.
Co-authors
The 25 scholars most cited alongside James Gajewski, 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 | 2004 | 200 | |
| 2 | 2000 | 157 | |
| 3 | Second HLA-identical sibling transplants for leukemia recurrence. | 1992 | 128 |
| 4 | 2001 | 120 | |
| 5 | 2001 | 48 | |
| 6 | 1994 | 47 | |
| 7 | 1996 | 41 | |
| 8 | 1992 | 36 | |
| 9 | 1997 | 35 | |
| 10 | 2001 | 19 | |
| 11 | 1993 | 10 | |
| 12 | 1999 | 9 | |
| 13 | 1994 | 2 |
About James Gajewski
James Gajewski is a scholar working on Hematology, Oncology, Immunology, Public Health, Environmental and Occupational Health and Genetics, having authored 13 papers that have together received 852 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (4 papers), Neutropenia and Cancer Infections (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Lymphoma Diagnosis and Treatment (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Hematology (635 citations), Immunology (338 citations), Transplantation (42 citations), Genetics (139 citations) and Oncology (246 citations). James Gajewski has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Richard E. Champlin, Issa F. Khouri, Paolo Anderlini, Sergio Giralt, Avichai Shimoni, Marcos de Lima, Naoto T. Ueno, S. Giralt, Jeffrey J. Molldrem and Steven M. Kornblau. Their work appears in journals such as British Journal of Haematology, American Journal of Hematology, Journal of Clinical Oncology, Transplantation and Biology of Blood and Marrow Transplantation.
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.