Simon Hallam

761 total citations
23 papers, 400 citations indexed

About

Simon Hallam is a scholar working on Hematology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Simon Hallam has authored 23 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 7 papers in Pathology and Forensic Medicine and 7 papers in Oncology. Recurrent topics in Simon Hallam's work include Multiple Myeloma Research and Treatments (7 papers), Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Simon Hallam is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Simon Hallam collaborates with scholars based in United Kingdom, United States and Netherlands. Simon Hallam's co-authors include Heather Oakervee, John G. Gribben, Rakesh Popat, Nicola Foot, Jamie Cavenagh, Maria Calaminici, Curly Morris, Gavin Kelly, Kelly J Morris and Tim Lister and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Simon Hallam

21 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Hallam United Kingdom 9 179 164 161 122 56 23 400
Yoshiaki Kuroda Japan 12 204 1.1× 222 1.4× 161 1.0× 71 0.6× 46 0.8× 36 403
Alexander K. Stewart United States 5 204 1.1× 293 1.8× 135 0.8× 70 0.6× 28 0.5× 8 417
Luis Gerardo Rodríguez‐Lobato Spain 13 244 1.4× 229 1.4× 221 1.4× 155 1.3× 37 0.7× 48 493
Danielle Shafer United States 12 169 0.9× 118 0.7× 151 0.9× 48 0.4× 85 1.5× 30 398
Shinsuke Mizutani Japan 11 188 1.1× 121 0.7× 115 0.7× 58 0.5× 127 2.3× 50 400
Rama Al Hamed France 9 236 1.3× 308 1.9× 223 1.4× 53 0.4× 71 1.3× 11 487
Minami Yamada Japan 12 77 0.4× 154 0.9× 134 0.8× 104 0.9× 90 1.6× 24 369
Cecilia Sheen United States 6 132 0.7× 280 1.7× 120 0.7× 176 1.4× 55 1.0× 9 569
William Larry Gluck United States 8 111 0.6× 66 0.4× 172 1.1× 155 1.3× 94 1.7× 24 409
Haerim Chung South Korea 12 123 0.7× 122 0.7× 93 0.6× 73 0.6× 81 1.4× 46 352

Countries citing papers authored by Simon Hallam

Since Specialization
Citations

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

Fields of papers citing papers by Simon Hallam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Hallam

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Hallam. A scholar is included among the top collaborators of Simon Hallam 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 Simon Hallam. Simon Hallam 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.
Wang, Kaiwen, Elsa Lee, Simon Hallam, et al.. (2022). Application of diffusion-weighted whole-body MRI for response monitoring in multiple myeloma after chemotherapy: a systematic review and meta-analysis. European Radiology. 32(4). 2135–2148. 5 indexed citations
2.
Hallam, Simon, et al.. (2021). COVID-19 complicated by immune thrombocytopaenic purpura and internal jugular vein thrombosis. BMJ Case Reports. 14(7). e243680–e243680. 2 indexed citations
3.
Hibbs, Stephen P. & Simon Hallam. (2021). The Right to Decide for Someone Else (Cancer Ward). HemaSphere. 5(5). e569–e569.
4.
Halperin, Daniel M., et al.. (2016). Bing-Neel Syndrome Case Report: A Previously Undocumented IgG Variant with MRI, PET/CT, and PET/MRI Imaging. SHILAP Revista de lepidopterología. 2016. 1–4. 4 indexed citations
5.
Carlotti, Emanuela, David Wrench, Guglielmo Rosignoli, et al.. (2015). High Throughput Sequencing Analysis of the Immunoglobulin Heavy Chain Gene from Flow-Sorted B Cell Sub-Populations Define the Dynamics of Follicular Lymphoma Clonal Evolution. PLoS ONE. 10(9). e0134833–e0134833. 26 indexed citations
7.
Jhanji, Shaman, Simon Hallam, & Timothy Wigmore. (2014). Outcomes of neutropenic patients with severe sepsis on a specialist cancer ICU. Critical Care. 18(S1). 2 indexed citations
8.
Hallam, Simon, Drew Provan, & Adrian C. Newland. (2013). Immune thrombocytopenia – what are the new treatment options?. Expert Opinion on Biological Therapy. 13(8). 1173–1185. 14 indexed citations
9.
Spencer, Careni, et al.. (2012). Daily bathing with octenidine on an intensive care unit is associated with a lower carriage rate of meticillin-resistant Staphylococcus aureus. Journal of Hospital Infection. 83(2). 156–159. 22 indexed citations
11.
Hallam, Simon, Juliana Candido, Rita Coutinho, et al.. (2011). Manipulating Tumor Associated Macrophages (TAM) in a Mouse Model of B-Cell Non-Hodgkin Lymphoma (NHL). Blood. 118(21). 1657–1657. 3 indexed citations
12.
Clear, Andrew, Abigail M. Lee, Maria Calaminici, et al.. (2010). Increased angiogenic sprouting in poor prognosis FL is associated with elevated numbers of CD163+ macrophages within the immediate sprouting microenvironment. Blood. 115(24). 5053–5056. 98 indexed citations
13.
Hallam, Simon & Silvia Montoto. (2010). Follicular lymphoma: managing an indolent malignancy. British Journal of Hospital Medicine. 71(5). 258–262.
14.
Hallam, Simon & John G. Gribben. (2010). Stem cell transplantation in chronic lymphocytic leukaemia – steering a safe course over shifting sands. Best Practice & Research Clinical Haematology. 23(1). 109–119. 2 indexed citations
15.
Popat, Rakesh, Heather Oakervee, Catherine Williams, et al.. (2009). Bortezomib, low‐dose intravenous melphalan, and dexamethasone for patients with relapsed multiple myeloma. British Journal of Haematology. 144(6). 887–894. 37 indexed citations
16.
Hallam, Simon & John G. Gribben. (2009). Transplantation in Chronic Lymphocytic Leukemia: Timing and Expectations. Clinical Lymphoma & Myeloma. 9. S186–S193. 1 indexed citations
17.
Hallam, Simon, et al.. (2009). Activated macrophages in the tumour microenvironment—dancing to the tune of TLR and NF‐κB. The Journal of Pathology. 219(2). 143–152. 45 indexed citations
18.
Popat, Rakesh, Heather Oakervee, Simon Hallam, et al.. (2008). Bortezomib, doxorubicin and dexamethasone (PAD) front‐line treatment of multiple myeloma: updated results after long‐term follow‐up. British Journal of Haematology. 141(4). 512–516. 101 indexed citations
19.
Popat, Rakesh, Catherine Williams, Mark Cook, et al.. (2007). Bortezomib, Low Dose Intravenous Melphalan and Dexamethasone for Patients with Relapsed Multiple Myeloma: Final Results of a Phase I/II Clinical Trial.. Blood. 110(11). 2713–2713. 1 indexed citations
20.
Esplin, M. Sean, et al.. (1998). Myotonic dystrophy is a significant cause of idiopathic polyhydramnios. American Journal of Obstetrics and Gynecology. 179(4). 974–977. 19 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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