Kwee Yong

14.9k total citations · 1 hit paper
265 papers, 7.1k citations indexed

About

Kwee Yong is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Kwee Yong has authored 265 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Hematology, 122 papers in Oncology and 103 papers in Molecular Biology. Recurrent topics in Kwee Yong's work include Multiple Myeloma Research and Treatments (171 papers), Protein Degradation and Inhibitors (52 papers) and Cancer Treatment and Pharmacology (44 papers). Kwee Yong is often cited by papers focused on Multiple Myeloma Research and Treatments (171 papers), Protein Degradation and Inhibitors (52 papers) and Cancer Treatment and Pharmacology (44 papers). Kwee Yong collaborates with scholars based in United Kingdom, United States and France. Kwee Yong's co-authors include Niels W.C.J. van de Donk, Charlotte Pawlyn, David C. Linch, Anthony H. Goldstone, Stephen Mackinnon, Shirley D’Sa, Asim Khwaja, Neil Rabin, Karl S. Peggs and Arnold Pizzey and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Kwee Yong

244 papers receiving 7.0k citations

Hit Papers

Multiple myeloma 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kwee Yong United Kingdom 46 3.9k 2.9k 2.6k 1.9k 904 265 7.1k
Javier de la Rubia Spain 42 4.9k 1.2× 2.4k 0.8× 2.5k 0.9× 1.8k 0.9× 1.1k 1.3× 252 7.1k
Graham Jackson United Kingdom 48 5.0k 1.3× 3.1k 1.0× 3.5k 1.3× 1.6k 0.8× 786 0.9× 221 7.9k
Parameswaran Hari United States 43 4.4k 1.1× 3.8k 1.3× 3.6k 1.4× 1.2k 0.6× 945 1.0× 420 7.8k
William Bensinger United States 49 7.1k 1.8× 3.8k 1.3× 2.7k 1.0× 1.9k 1.0× 1.3k 1.5× 220 9.8k
Stefan Suciu Belgium 54 3.3k 0.8× 4.7k 1.6× 3.5k 1.3× 2.4k 1.3× 835 0.9× 235 9.5k
David A. Rizzieri United States 44 4.3k 1.1× 2.5k 0.8× 3.0k 1.2× 1.6k 0.8× 1.6k 1.8× 309 8.1k
Ravi Vij United States 46 6.5k 1.7× 4.1k 1.4× 4.3k 1.6× 1.6k 0.9× 1.1k 1.2× 469 9.6k
Christian Chabannon France 44 3.7k 0.9× 2.8k 0.9× 1.7k 0.6× 2.8k 1.5× 921 1.0× 299 8.0k
Robert Vescio United States 38 2.9k 0.8× 3.0k 1.0× 3.0k 1.1× 878 0.5× 591 0.7× 150 6.0k
Jayesh Mehta United States 46 4.9k 1.3× 2.8k 1.0× 2.7k 1.0× 1.1k 0.6× 1.0k 1.1× 226 8.3k

Countries citing papers authored by Kwee Yong

Since Specialization
Citations

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

Fields of papers citing papers by Kwee Yong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwee Yong

This figure shows the co-authorship network connecting the top 25 collaborators of Kwee Yong. A scholar is included among the top collaborators of Kwee Yong 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 Kwee Yong. Kwee Yong 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
2.
Moore, Sally, et al.. (2024). Real‐world characteristics and outcomes of patients with multiple myeloma receiving second‐line treatment in England. SHILAP Revista de lepidopterología. 6(1). e1058–e1058. 1 indexed citations
3.
Wilson, William, Rakesh Popat, Ke Xu, et al.. (2024). Outcomes of melphalan 140 mg/m2 followed by autologous stem cell transplantation in multiple myeloma patients with co‐morbidities: Single‐centre experience. SHILAP Revista de lepidopterología. 5(5). 1102–1106.
4.
Yong, Kwee, Karthik Ramasamy, Simon Stern, et al.. (2024). Diagnosis and management of smouldering myeloma: A British Society for Haematology Good Practice Paper. British Journal of Haematology. 204(4). 1193–1206. 1 indexed citations
5.
Boyle, Eileen M., Lydia Lee, Dean Smith, et al.. (2024). Challenges in designing and running smouldering myeloma interventional clinical trials. SHILAP Revista de lepidopterología. 5(2). 418–420. 1 indexed citations
6.
Dhakal, Binod, Hermann Einsele, Jordan M. Schecter, et al.. (2024). Real-world treatment patterns and outcomes in relapsed/refractory multiple myeloma (1-3 prior lines): Flatiron database. Blood Advances. 8(19). 5062–5071. 3 indexed citations
7.
Xu, Ke, Elisabeth P. Nacheva, Annabel McMillan, et al.. (2024). Myeloid neoplasm post cytotoxic treatment in patients with multiple myeloma. SHILAP Revista de lepidopterología. 5(5). 1089–1091.
9.
Patel, Dominic, et al.. (2023). Deep Learning Enables Spatial Mapping of the Mosaic Microenvironment of Myeloma Bone Marrow Trephine Biopsies. Cancer Research. 84(3). 493–508. 8 indexed citations
10.
McCourt, Orla, Abigail Fisher, Gita Ramdharry, et al.. (2023). Exercise prehabilitation for people with myeloma undergoing autologous stem cell transplantation: results from PERCEPT pilot randomised controlled trial. Acta Oncologica. 62(7). 696–705. 15 indexed citations
11.
Martin, Thomas G., Marcelo Capra, Mohamad Mohty, et al.. (2021). Isatuximab Plus Carfilzomib and Dexamethasone Versus Carfilzomib and Dexamethasone in Relapsed Multiple Myeloma Patients Who Previously Underwent Transplantation: Ikema Subgroup Analysis. Transplantation and Cellular Therapy. 27(3). S65–S65. 2 indexed citations
12.
Al‐Rasheed, Nouf M., Lydia Lee, Ehsan Ghorani, et al.. (2020). Marrow-Infiltrating Regulatory T Cells Correlate with the Presence of Dysfunctional CD4+PD-1+ Cells and Inferior Survival in Patients with Newly Diagnosed Multiple Myeloma. Clinical Cancer Research. 26(13). 3443–3454. 50 indexed citations
13.
Heaney, Jennifer, Gulnaz Iqbal, Janet Dunn, et al.. (2020). Stratifying risk of infection and response to therapy in patients with myeloma: a prognostic study. SHILAP Revista de lepidopterología. 7(10). 1–70. 2 indexed citations
14.
Cohen, Oliver C., Faye Sharpley, Julian D. Gillmore, et al.. (2020). Use of ixazomib, lenalidomide and dexamethasone in patients with relapsed amyloid light‐chain amyloidosis. British Journal of Haematology. 189(4). 643–649. 28 indexed citations
15.
Manwani, Richa, Shameem Mahmood, Sajitha Sachchithanantham, et al.. (2019). Carfilzomib is an effective upfront treatment in AL amyloidosis patients with peripheral and autonomic neuropathy. British Journal of Haematology. 187(5). 638–641. 36 indexed citations
16.
Raab, Marc S., Leah Fink, Paul Schoen, et al.. (2018). Evolution of multiple myeloma treatment practices in Europe from 2014 to 2016. British Journal of Haematology. 185(5). 981–984. 17 indexed citations
17.
Kyriakou, Charalampia, et al.. (2017). REAL WORLD USE OF IXAZOMIB WITH LENALIDOMIDE AND DEXAMETHASONE FOR PATIENTS WITH RELAPSED AND RELAPSED REFRACTORY MULTIPLE MYELOMA. UCL Discovery (University College London). 5 indexed citations
18.
Yong, Kwee, et al.. (2017). Multiple myeloma. British Journal of Hospital Medicine. 78(2). C21–C27. 13 indexed citations
19.
Latifoltojar, Arash, Margaret Hall‐Craggs, Neil Rabin, et al.. (2016). Whole body magnetic resonance imaging in newly diagnosed multiple myeloma: early changes in lesional signal fat fraction predict disease response. British Journal of Haematology. 176(2). 222–233. 46 indexed citations
20.
Yong, Kwee, Michel Delforge, Christoph Driessen, et al.. (2015). MULTIPLE MYELOMA MANAGEMENT: OUTCOMES IN REAL-WORLD PRACTICE. Haematologica. 100. 252–253. 1 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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