Paul Cheng

673 total citations · 1 hit paper
11 papers, 486 citations indexed

About

Paul Cheng is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Paul Cheng has authored 11 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Hematology and 2 papers in Molecular Biology. Recurrent topics in Paul Cheng's work include Multiple Myeloma Research and Treatments (8 papers), Bone health and treatments (7 papers) and CAR-T cell therapy research (3 papers). Paul Cheng is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Bone health and treatments (7 papers) and CAR-T cell therapy research (3 papers). Paul Cheng collaborates with scholars based in United States, Spain and Austria. Paul Cheng's co-authors include Brian G.M. Durie, Noopur Raje, Kazuyuki Shimizu, G. David Roodman, Ramón García‐Sánz, Li Zhu, Wolfgang Willenbacher, Evangelos Terpos, Marta Krejčí and Wojciech Legieć and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Lancet Oncology.

In The Last Decade

Paul Cheng

11 papers receiving 479 citations

Hit Papers

Denosumab versus zoledronic acid in bone disease treatmen... 2018 2026 2020 2023 2018 100 200 300

Peers

Paul Cheng
Comparison fields: 5 of 48
  • Oncology 402
  • Hematology 206
  • Molecular Biology 117
  • Orthopedics and Sports Medicine 90
  • Pathology and Forensic Medicine 59
Replace Ivonne Vázquez with:
Ivonne Vázquez Spain
Amanda Goldrick Australia
Maria Teresa Ambrosini Italy
Keith L. Shulman United States
Lea Latham Italy
Yukinori Ozaki Japan
F. Cervantes Spain
Remi Sumiyoshi Japan
Oleksandr Savenkov United States
Rachel Wei United States
Ivonne Vázquez Spain View profile →
Citations per field, relative to Paul Cheng
Paul Cheng · 1×
Citations per year, relative to Paul Cheng
Paul Cheng · 1×

Countries citing papers authored by Paul Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Paul Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Cheng

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 5
2
Denosumab versus zoledronic acid in bone disease treatment of newly diagnosed multiple myeloma: an international, double-blind, double-dummy, randomised, controlled, phase 3 study breakdown →
307
3 13
4 94
5 21
6 3
7 9
8 10
9 19
10 1
11 4

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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