Jonathan Lambert
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in ⓘ
- Genetics 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Chronic Lymphocytic Leukemia Research 3
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- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Raj K. Razdan (2 shared papers)John W. Huffman (2 shared papers)C. S. Breivogel (2 shared papers)Thanos Athanasiou (2 shared papers)Leanne Harling (2 shared papers)Ara Darzi (2 shared papers)Hutan Ashrafian (2 shared papers)Nigel J. Gooderham (2 shared papers)
- Journals
- British Journal of Haematology (7 papers)Blood (5 papers)Journal of Personalized Medicine (1 paper)Behavioural Pharmacology (1 paper)Nature (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Jonathan Lambert
26 papers receiving 469 citations
Peers
Comparison fields: 5 of 65
- Genetics 86
- Pathology and Forensic Medicine 143
- Rheumatology 74
- Oncology 122
- Hematology 43
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2016 | 63 | |
| 3 | 2008 | 53 | |
| 4 | 2020 | 49 | |
| 5 | 2016 | 45 | |
| 6 | 2020 | 39 | |
| 7 | 2015 | 20 | |
| 8 | 2014 | 19 | |
| 9 | 2013 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2015 | 16 | |
| 12 | 2015 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Jonathan Lambert
Jonathan Lambert is a scholar working on Genetics, Pathology and Forensic Medicine, Rheumatology, Hematology and Oncology, having authored 28 papers that have together received 476 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Eosinophilic Disorders and Syndromes (6 papers), Chronic Lymphocytic Leukemia Research (3 papers), Viral-associated cancers and disorders (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Genetics (86 citations), Pathology and Forensic Medicine (143 citations), Rheumatology (74 citations), Oncology (122 citations) and Hematology (43 citations). Jonathan Lambert has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Raj K. Razdan, John W. Huffman, C. S. Breivogel, Thanos Athanasiou, Leanne Harling, Ara Darzi, Hutan Ashrafian, Nigel J. Gooderham, Kirit M. Ardeshna and David C. Linch. Their work appears in journals such as British Journal of Haematology, Blood, Journal of Personalized Medicine, Behavioural Pharmacology and Nature.
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.