Jonathan Lambert
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
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- Acute Myeloid Leukemia Research
Papers in ⓘ
- Genetics 11
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
- Chronic Lymphocytic Leukemia Research 2
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- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Steve Austin (1 shared paper)David C. Linch (6 shared papers)Rosemary E. Gale (3 shared papers)Tamara Everington (1 shared paper)Kirsty Thomson (2 shared papers)Karl S. Peggs (2 shared papers)Emma Morris (2 shared papers)Anthony H. Goldstone (1 shared paper)
- Journals
- Blood (9 papers)British Journal of Haematology (5 papers)Lupus (1 paper)Aging & Mental Health (1 paper)HemaSphere (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Jonathan Lambert
23 papers receiving 231 citations
Peers
Comparison fields: 5 of 43
- Genetics 115
- Hematology 69
- Internal Medicine 19
- Pathology and Forensic Medicine 74
- Rheumatology 53
Countries citing papers authored by Jonathan Lambert
This map shows the geographic impact of Jonathan Lambert'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 Jonathan Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Lambert more than expected).
Fields of papers citing papers by Jonathan Lambert
This network shows the impact of papers produced by Jonathan Lambert. 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 Jonathan Lambert. The network helps show where Jonathan Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Lambert, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 45 | |
| 2 | 2008 | 42 | |
| 3 | 2009 | 29 | |
| 4 | 2019 | 21 | |
| 5 | 2015 | 17 | |
| 6 | 2014 | 12 | |
| 7 | 2023 | 10 | |
| 8 | 2009 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2014 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2017 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2019 | 2 |
About Jonathan Lambert
Jonathan Lambert is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Rheumatology and Molecular Biology, having authored 25 papers that have together received 235 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Eosinophilic Disorders and Syndromes (8 papers), Kruppel-like factors research (5 papers), Acute Myeloid Leukemia Research (2 papers), Viral-associated cancers and disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Genetics (115 citations), Hematology (69 citations), Internal Medicine (19 citations), Pathology and Forensic Medicine (74 citations) and Rheumatology (53 citations). Jonathan Lambert has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Steve Austin, David C. Linch, Rosemary E. Gale, Tamara Everington, Kirsty Thomson, Karl S. Peggs, Emma Morris, Anthony H. Goldstone, Ronjon Chakraverty and Sy Ha. Their work appears in journals such as Blood, British Journal of Haematology, Lupus, Aging & Mental Health and HemaSphere.
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.