J Score
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Rheumatology top 5%
- Eosinophilic Disorders and Syndromes
Papers in
-
- Eosinophilic Disorders and Syndromes 9
-
- Chronic Myeloid Leukemia Treatments 5
- Acute Myeloid Leukemia Research 2
- Co-authors
- Nicholas C.P. Cross (12 shared papers)Andrew Chase (4 shared papers)Francis Grand (5 shared papers)Andreas Reiter (8 shared papers)Katherine Waghorn (4 shared papers)Catherine Bryant (2 shared papers)Claire Curtis (1 shared paper)Martine Jotterand (1 shared paper)
- Journals
- Leukemia (5 papers)Haematologica (4 papers)European Respiratory Journal (1 paper)British Journal of Haematology (1 paper)Blood (1 paper)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
J Score
13 papers receiving 411 citations
Peers
Comparison fields: 5 of 35
- Hematology 219
- Rheumatology 230
- Genetics 163
- Pulmonary and Respiratory Medicine 72
- Immunology 39
Countries citing papers authored by J Score
This map shows the geographic impact of J Score'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 Score with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Score more than expected).
Fields of papers citing papers by J Score
This network shows the impact of papers produced by J Score. 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 Score. The network helps show where J Score may publish in the future.
Co-authors
The 25 scholars most cited alongside J Score, 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 | 2006 | 84 | |
| 2 | 2012 | 56 | |
| 3 | 2010 | 50 | |
| 4 | 2010 | 48 | |
| 5 | 2010 | 45 | |
| 6 | 2005 | 32 | |
| 7 | 2017 | 32 | |
| 8 | 2012 | 31 | |
| 9 | 2008 | 25 | |
| 10 | 2008 | 17 | |
| 11 | 2006 | 3 | |
| 12 | Analysis of T(9;22) breakpoints indicates that P210 and P190 BCR-ABL are formed by distinct mechanisms | 2007 | 1 |
| 13 | 2005 | 1 |
About J Score
J Score is a scholar working on Rheumatology, Hematology, Genetics, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 13 papers that have together received 425 indexed citations. Recurring topics across this work include Eosinophilic Disorders and Syndromes (9 papers), Chronic Myeloid Leukemia Treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Acute Myeloid Leukemia Research (2 papers), Click Chemistry and Applications (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Hematology (219 citations), Rheumatology (230 citations), Genetics (163 citations), Pulmonary and Respiratory Medicine (72 citations) and Immunology (39 citations). J Score has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Nicholas C.P. Cross, Andrew Chase, Francis Grand, Andreas Reiter, Katherine Waghorn, Catherine Bryant, Claire Curtis, Martine Jotterand, Amy V. Jones and Claire Hidalgo-Curtis. Their work appears in journals such as Leukemia, Haematologica, European Respiratory Journal, British Journal of Haematology and Blood.
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.