Jonathan M. Lambert
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 13
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Chronic Lymphocytic Leukemia Research 5
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- Lymphoma Diagnosis and Treatment 15
- Co-authors
- Nigel J. Gooderham (2 shared papers)John W. Huffman (2 shared papers)Christopher S. Breivogel (2 shared papers)Raj K. Razdan (2 shared papers)Hutan Ashrafian (2 shared papers)Leanne Harling (2 shared papers)Lord Ara Darzi (2 shared papers)Kirit M. Ardeshna (9 shared papers)
- Journals
- British Journal of Haematology (9 papers)Blood (4 papers)HemaSphere (2 papers)BMJ (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jonathan M. Lambert
31 papers receiving 581 citations
Peers
Comparison fields: 5 of 65
- Pathology and Forensic Medicine 178
- Genetics 97
- Rheumatology 96
- Oncology 155
- Pharmacology 65
Countries citing papers authored by Jonathan M. Lambert
This map shows the geographic impact of Jonathan M. 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 M. 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 M. Lambert more than expected).
Fields of papers citing papers by Jonathan M. Lambert
This network shows the impact of papers produced by Jonathan M. 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 M. Lambert. The network helps show where Jonathan M. Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2016 | 70 | |
| 3 | 2020 | 58 | |
| 4 | 2008 | 58 | |
| 5 | 2016 | 53 | |
| 6 | 2020 | 52 | |
| 7 | 2014 | 26 | |
| 8 | 2015 | 23 | |
| 9 | 2013 | 20 | |
| 10 | 2017 | 18 | |
| 11 | 2015 | 16 | |
| 12 | 2024 | 14 | |
| 13 | 2017 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 5 | |
| 20 | 2024 | 4 |
About Jonathan M. Lambert
Jonathan M. Lambert is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Hematology and Rheumatology, having authored 33 papers that have together received 601 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), CAR-T cell therapy research (5 papers), Viral-associated cancers and disorders (5 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (178 citations), Genetics (97 citations), Rheumatology (96 citations), Oncology (155 citations) and Pharmacology (65 citations). Jonathan M. Lambert has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Nigel J. Gooderham, John W. Huffman, Christopher S. Breivogel, Raj K. Razdan, Hutan Ashrafian, Leanne Harling, Lord Ara Darzi, Kirit M. Ardeshna, Thanos Athanasiou and David C. Linch. Their work appears in journals such as British Journal of Haematology, Blood, HemaSphere, BMJ and Bone 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.