Jamie Saunders

3.8k total citations
8 papers, 241 citations indexed

About

Jamie Saunders is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Jamie Saunders has authored 8 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 5 papers in Genetics and 3 papers in Immunology. Recurrent topics in Jamie Saunders's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Eosinophilic Disorders and Syndromes (2 papers). Jamie Saunders is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Eosinophilic Disorders and Syndromes (2 papers). Jamie Saunders collaborates with scholars based in United Kingdom and United States. Jamie Saunders's co-authors include Lee-Jah Chang, Sandra Sitar, Galina V. Yamshchikov, Richard Schwartz, Wataru Akahata, Gary J. Nabel, Theodore C. Pierson, Barney S. Graham, Sarah H. Plummer and Mary E. Enama and has published in prestigious journals such as The Lancet, Blood and British Journal of Haematology.

In The Last Decade

Jamie Saunders

8 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie Saunders United Kingdom 5 176 154 33 27 25 8 241
Julian Larcher‐Senn Austria 9 187 1.1× 173 1.1× 38 1.2× 14 0.5× 12 0.5× 18 273
Åse Berg Norway 9 172 1.0× 177 1.1× 20 0.6× 121 4.5× 12 0.5× 13 428
Thaísa Regina Rocha Lopes Brazil 8 116 0.7× 143 0.9× 25 0.8× 25 0.9× 4 0.2× 19 228
Annika Carlsson Wistedt Sweden 8 145 0.8× 196 1.3× 82 2.5× 25 0.9× 19 0.8× 8 315
Katherine R. Dobbs United States 8 60 0.3× 168 1.1× 15 0.5× 176 6.5× 19 0.8× 14 333
Joshua A. Acklin United States 6 129 0.7× 93 0.6× 59 1.8× 53 2.0× 12 0.5× 11 214
Cecilia Parodi Argentina 11 64 0.4× 109 0.7× 147 4.5× 92 3.4× 17 0.7× 29 329
Marta Ulaszewska United Kingdom 11 181 1.0× 49 0.3× 57 1.7× 52 1.9× 9 0.4× 20 278
Raeann M. Shimak United States 7 167 0.9× 218 1.4× 62 1.9× 72 2.7× 22 0.9× 8 306
Rama Dhenni Indonesia 11 90 0.5× 90 0.6× 99 3.0× 45 1.7× 6 0.2× 19 268

Countries citing papers authored by Jamie Saunders

Since Specialization
Citations

This map shows the geographic impact of Jamie Saunders'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 Jamie Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Saunders more than expected).

Fields of papers citing papers by Jamie Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie Saunders. 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 Jamie Saunders. The network helps show where Jamie Saunders may publish in the future.

Co-authorship network of co-authors of Jamie Saunders

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Saunders. A scholar is included among the top collaborators of Jamie Saunders 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 Jamie Saunders. Jamie Saunders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Harrington, Patrick, Richard Dillon, Deepti Radia, et al.. (2022). Chronic myeloid leukaemia patients at diagnosis and resistant to tyrosine kinase inhibitor therapy display exhausted T‐cell phenotype. British Journal of Haematology. 198(6). 1011–1015. 8 indexed citations
2.
O’Sullivan, Jennifer, Deepti Radia, Natalia Curto‐García, et al.. (2022). Real world experience with ropeginterferon alpha-2b (Besremi) in essential thrombocythaemia and polycythaemia vera following exposure to pegylated interferon alfa-2a (Pegasys). Leukemia Research Reports. 19. 100360–100360. 12 indexed citations
3.
Harrington, Patrick, Hugues de Lavallade, Katie J. Doores, et al.. (2021). Single dose of BNT162b2 mRNA vaccine against SARS-CoV-2 induces high frequency of neutralising antibody and polyfunctional T-cell responses in patients with myeloproliferative neoplasms. Leukemia. 35(12). 3573–3577. 31 indexed citations
4.
Harrington, Patrick, Claire Harrison, Richard Dillon, et al.. (2021). Evidence of robust memory T‐cell responses in patients with chronic myeloproliferative neoplasms following infection with severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2). British Journal of Haematology. 193(4). 692–696. 5 indexed citations
5.
Harrington, Patrick, Katie J. Doores, Chandan Saha, et al.. (2021). Low Frequency of T Cell and Antibody Responses to Vaccination Against Sars-Cov-2 in Patients Post Allogeneic Stem Cell Transplantation in Comparison with Chronic Myeloid Malignancy Patients. Blood. 138(Supplement 1). 3920–3920. 1 indexed citations
6.
Curto‐García, Natalia, Jamie Saunders, & Andrew J. Doyle. (2021). Haematological emergencies. Medicine. 49(5). 325–332. 1 indexed citations
7.
Saunders, Jamie, Natalia Curto‐García, Priya Sriskandarajah, et al.. (2021). Large Scale Internet-based Survey of Patients With a Myeloproliferative Neoplasm: Opinions and Experiences Regarding SARS-CoV-2 (COVID-19) Vaccination Strategies in 2021. HemaSphere. 5(7). e609–e609. 1 indexed citations
8.
Chang, Lee-Jah, Kimberly A. Dowd, Floreliz Mendoza, et al.. (2014). Safety and tolerability of chikungunya virus-like particle vaccine in healthy adults: a phase 1 dose-escalation trial. The Lancet. 384(9959). 2046–2052. 182 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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