Kwee Yong

14.9k citations
265 papers · 7.1k indexed · 1 hit paper · h-index 46
Topics
Multiple Myeloma Research and Treatments (171 papers)Protein Degradation and Inhibitors (52 papers)Cancer Treatment and Pharmacology (44 papers)
Journals
The LancetJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Kwee Yong

244 papers receiving 7.0k citations

Hit Papers

Multiple myeloma20212026202220242021100200300400

Peers

Kwee Yong
Comparison fields: 5 of 133
  • Hematology 3.9k
  • Oncology 2.9k
  • Molecular Biology 2.6k
  • Immunology 1.9k
  • Genetics 904
Replace Christian Chabannon with:
Christian Chabannon France
Stefan Suciu Belgium
Kenneth F. Bradstock Australia
Martin Gramatzki Germany
Arjan C. Lankester Netherlands
Johannes Drach Austria
Hans Erik Johnsen Denmark
Matthias Theobald Germany
C. Ellen van der Schoot Netherlands
David H. Vesole United States
Kwee Yong relative to Christian Chabannon France Christian Chabannon's profile →
Citations per field
00.5×1.6×
Christian Chabannon · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 1
6 3
7 0
8 0
9 8
10 15
11 2
12 50
13 2
14 28
15 36
16 17
17
REAL WORLD USE OF IXAZOMIB WITH LENALIDOMIDE AND DEXAMETHASONE FOR PATIENTS WITH RELAPSED AND RELAPSED REFRACTORY MULTIPLE MYELOMA
5
18 13
19 46
20
MULTIPLE MYELOMA MANAGEMENT: OUTCOMES IN REAL-WORLD PRACTICE
1

About Kwee Yong

Kwee Yong is a scholar working on Hematology, Oncology and Genetics, having authored 265 papers that have together received 7.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (171 papers), Protein Degradation and Inhibitors (52 papers) and Cancer Treatment and Pharmacology (44 papers). The work is most often cited by research in Hematology (3.9k citations), Oncology (2.9k citations) and Immunology (1.9k citations). Kwee Yong has collaborated with scholars based in United Kingdom, United States and France. Frequent 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. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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