Jonathan Lambert

806 total citations
28 papers, 476 citations indexed

About

Jonathan Lambert is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Jonathan Lambert has authored 28 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 10 papers in Pathology and Forensic Medicine and 7 papers in Oncology. Recurrent topics in Jonathan Lambert's work include Lymphoma Diagnosis and Treatment (9 papers), Eosinophilic Disorders and Syndromes (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). Jonathan Lambert is often cited by papers focused on Lymphoma Diagnosis and Treatment (9 papers), Eosinophilic Disorders and Syndromes (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). Jonathan Lambert collaborates with scholars based in United Kingdom, United States and Italy. Jonathan Lambert's co-authors include Raj K. Razdan, C. S. Breivogel, John W. Huffman, Leanne Harling, Hutan Ashrafian, Thanos Athanasiou, Ara Darzi, Nigel J. Gooderham, Kirit M. Ardeshna and David C. Linch and has published in prestigious journals such as Nature, Blood and BMJ.

In The Last Decade

Jonathan Lambert

26 papers receiving 469 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan Lambert United Kingdom 12 143 122 86 79 74 28 476
Alexander Oldroyd United Kingdom 13 77 0.5× 102 0.8× 46 0.5× 99 1.3× 126 1.7× 25 583
Chandra Krishnan United States 12 100 0.7× 128 1.0× 36 0.4× 140 1.8× 49 0.7× 50 523
Daisuke Miura Japan 12 139 1.0× 159 1.3× 79 0.9× 115 1.5× 21 0.3× 59 475
E. Bjorklund Sweden 7 56 0.4× 52 0.4× 46 0.5× 57 0.7× 177 2.4× 9 548
Lina-Marcela Díaz-Gallo Sweden 16 51 0.4× 74 0.6× 30 0.3× 115 1.5× 193 2.6× 31 563
Changwan Ryu United States 13 42 0.3× 55 0.5× 14 0.2× 160 2.0× 64 0.9× 35 655
Homaira Rahimi United States 16 61 0.4× 241 2.0× 23 0.3× 83 1.1× 194 2.6× 25 583
María López‐Lasanta Spain 11 44 0.3× 56 0.5× 54 0.6× 87 1.1× 160 2.2× 19 439
Yasuyuki Kamata Japan 11 39 0.3× 33 0.3× 37 0.4× 54 0.7× 125 1.7× 30 455
Gloria Martínez-Bonilla Mexico 13 83 0.6× 49 0.4× 17 0.2× 92 1.2× 260 3.5× 38 518

Countries citing papers authored by Jonathan Lambert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Lambert

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Lambert. A scholar is included among the top collaborators of Jonathan Lambert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Lambert. Jonathan Lambert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Godfrey, Anna L., Nikolaos Sousos, Rebecca Frewin, et al.. (2024). Clinical utility of investigations in triple‐negative thrombocytosis: A real‐world, multicentre evaluation of UK practice. British Journal of Haematology. 205(4). 1411–1416. 1 indexed citations
2.
3.
Thakker, Clare, Helen Booth, Peter L. Chiodini, et al.. (2024). UK guidelines for the investigation and management of eosinophilia in returning travellers and migrants. Journal of Infection. 90(2). 106328–106328. 1 indexed citations
4.
Rampotas, Alexandros, Zoë C. Wong, Charlotte Brierley, et al.. (2024). Development of a First-in-Class CAR-T Therapy Against Calreticulin-Mutant Neoplasms and Evaluation in the Relevant Human Tissue Environment. Blood. 144(Supplement 1). 871–871. 3 indexed citations
5.
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Rampotas, Alexandros, Katja Sockel, Fotios Panitsas, et al.. (2023). Adoptive Immunotherapy via Donor Lymphocyte Infusions following Allogeneic Hematopoietic Stem Cell Transplantation for Myelofibrosis: A Real-World, Retrospective Multicenter Study. Transplantation and Cellular Therapy. 29(11). 687.e1–687.e7. 2 indexed citations
7.
Thakker, Clare, Helen Booth, Jonathan Lambert, Sarah Morgan, & Anna M. Checkley. (2023). Investigating eosinophilia. BMJ. 380. e070295–e070295. 1 indexed citations
8.
Fox, Thomas A., Amy A. Kirkwood, James Day, et al.. (2020). Clinical outcomes and risk factors for severe COVID‐19 in patients with haematological disorders receiving chemo‐ or immunotherapy. British Journal of Haematology. 191(2). 194–206. 49 indexed citations
9.
Pearce, Rachel, Julia Perry, Keiren Kirkland, et al.. (2020). Substituting carmustine for lomustine is safe and effective in the treatment of relapsed or refractory Lymphoma—a retrospective study from the BSBMT (BEAM versus LEAM). Bone Marrow Transplantation. 56(3). 730–732. 3 indexed citations
10.
Latifoltojar, Arash, Harbir Sidhu, Alan Bainbridge, et al.. (2020). Whole Body 3.0 T Magnetic Resonance Imaging in Lymphomas: Comparison of Different Sequence Combinations for Staging Hodgkin’s and Diffuse Large B Cell Lymphomas. Journal of Personalized Medicine. 10(4). 284–284. 5 indexed citations
11.
Wilson, Andrew J., et al.. (2019). Systemic mastocytosis: variable manifestations can lead to a challenging diagnostic process. BMJ Case Reports. 12(8). e229967–e229967.
12.
13.
Butt, Nauman M., Jonathan Lambert, Sahra Ali, et al.. (2017). Guideline for the investigation and management of eosinophilia. British Journal of Haematology. 176(4). 553–572. 83 indexed citations
14.
Harling, Leanne, Jonathan Lambert, Hutan Ashrafian, et al.. (2017). Pre-operative serum VCAM-1 as a biomarker of atrial fibrillation after coronary artery bypass grafting. Journal of Cardiothoracic Surgery. 12(1). 17 indexed citations
15.
Harling, Leanne, Jonathan Lambert, Hutan Ashrafian, et al.. (2016). Elevated serum microRNA 483-5p levels may predict patients at risk of post-operative atrial fibrillation. European Journal of Cardio-Thoracic Surgery. 51(1). 73–78. 63 indexed citations
16.
Afaq, Asim, Francesco Fraioli, Harbir Sidhu, et al.. (2016). Comparison of PET/MRI With PET/CT in the Evaluation of Disease Status in Lymphoma. Clinical Nuclear Medicine. 42(1). e1–e7. 45 indexed citations
17.
Whelan, Brendan, Shivani Kumar, Jason Dowling, et al.. (2015). Utilising pseudo-CT data for dose calculation and plan optimization in adaptive radiotherapy. Australasian Physical & Engineering Sciences in Medicine. 38(4). 561–568. 11 indexed citations
18.
Breivogel, C. S., et al.. (2013). The influence of beta-arrestin2 on cannabinoid CB1receptor coupling to G-proteins and subcellular localization and relative levels of beta-arrestin1 and 2 in mouse brain. Journal of Receptors and Signal Transduction. 33(6). 367–379. 18 indexed citations
19.
Kothari, Jaimal, Karl S. Peggs, Kirsty Thomson, et al.. (2011). Autologous Stem Cell Transplantation Using BEAM Conditioning Is Highly Effective in Patients with Follicular Lymphoma Regardless of Prior Rituximab Exposure. Blood. 118(21). 2025–2025. 1 indexed citations
20.
Breivogel, C. S., et al.. (2008). Sensitivity to Δ9-tetrahydrocannabinol is selectively enhanced in beta-arrestin2−/− mice. Behavioural Pharmacology. 19(4). 298–307. 53 indexed citations

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.

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