J Bungey
Impact in
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 12
- Chronic Myeloid Leukemia Treatments 11
- Hematopoietic Stem Cell Transplantation 5
- Acute Myeloid Leukemia Research 3
- Genetics 5
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Nicholas C.P. Cross (8 shared papers)Andrew Chase (11 shared papers)JM Goldman (2 shared papers)Terry P. Hughes (2 shared papers)Frits van Rhee (4 shared papers)John M. Goldman (5 shared papers)Feng Lin (3 shared papers)Bernardo Garicochea (2 shared papers)
- Journals
- Blood (4 papers)British Journal of Haematology (3 papers)Bone Marrow Transplantation (1 paper)Genes Chromosomes and Cancer (1 paper)Leukemia & lymphoma (2 papers)
- Partner nations
- United KingdomJapanBelgium
In The Last Decade
J Bungey
14 papers receiving 954 citations
Peers
Comparison fields: 5 of 49
- Hematology 836
- Genetics 333
- Rheumatology 164
- Immunology 188
- Oncology 158
Countries citing papers authored by J Bungey
This map shows the geographic impact of J Bungey'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 J Bungey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Bungey more than expected).
Fields of papers citing papers by J Bungey
This network shows the impact of papers produced by J Bungey. 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 J Bungey. The network helps show where J Bungey may publish in the future.
Co-authors
The 25 scholars most cited alongside J Bungey, 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 | 315 | |
| 2 | 1994 | 288 | |
| 3 | 1993 | 134 | |
| 4 | 1998 | 65 | |
| 5 | p53 in chronic myeloid leukemia cell lines. | 1992 | 51 |
| 6 | 1993 | 47 | |
| 7 | 1995 | 19 | |
| 8 | Molecular analysis of transient cytogenetic relapse after allogeneic bone marrow transplantation for chronic myeloid leukaemia. | 1996 | 16 |
| 9 | 1993 | 13 | |
| 10 | 1993 | 13 | |
| 11 | 1991 | 10 | |
| 12 | 1991 | 10 | |
| 13 | 1993 | 4 | |
| 14 | 1994 | 3 |
About J Bungey
J Bungey is a scholar working on Hematology, Genetics, Rheumatology, Oncology and Immunology, having authored 14 papers that have together received 988 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (11 papers), Hematopoietic Stem Cell Transplantation (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (4 papers), Acute Myeloid Leukemia Research (3 papers), Cancer-related Molecular Pathways (2 papers), Acute Lymphoblastic Leukemia research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Hematology (836 citations), Genetics (333 citations), Rheumatology (164 citations), Immunology (188 citations) and Oncology (158 citations). J Bungey has collaborated with scholars based in United Kingdom, Japan and Belgium. Frequent co-authors include Nicholas C.P. Cross, Andrew Chase, JM Goldman, Terry P. Hughes, Frits van Rhee, John M. Goldman, JM Goldman, Feng Lin, Bernardo Garicochea and John Barrett. Their work appears in journals such as Blood, British Journal of Haematology, Bone Marrow Transplantation, Genes Chromosomes and Cancer and Leukemia & lymphoma.
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.