Stephen Leong

6.2k citations
73 papers · 2.3k indexed · 1 hit paper · h-index 23

Stephen Leong

72 papers receiving 2.2k citations

Hit Papers

Patient-derived tumour xenografts as models for oncology ...9332012202620162021250500750

Peers

Stephen Leong
Comparison fields: 5 of 90
  • Oncology 1.1k
  • Cancer Research 606
  • Biotechnology 213
  • Genetics 167
  • Pulmonary and Respiratory Medicine 471
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Citations per year

Countries citing papers authored by Stephen Leong

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Leong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Stephen Leong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Leong Line = papers co-authored together Stephen Leong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20226
2 20201
3 20205
4 202058
5 201945
6 201936
7 201832
8 201717
9 201634
10 201518
11 201454
12 201346
13 201365
14 20112
15 201056
16 201063
17 20106
18
A phase 1 study of belinostat (PXD101) in combination with bortezomib in patients with advanced solid tumors and lymphoma
20073
19
In vitro assessment of the IGF-1R inhibitor, PQIP, alone and in combination with chemotherapy, against human colorectal cancer cell lines: Antiproliferative, molecular, and metabolic effects.
20072
20
A phase I study of R1507, a human monoclonal antibody IGF-1R (insulin-like growth factor receptor) antagonist given weekly in patients with advanced solid tumors
200719

About Stephen Leong

Stephen Leong is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Hepatology and Pathology and Forensic Medicine, having authored 73 papers that have together received 2.3k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (22 papers), Pancreatic and Hepatic Oncology Research (15 papers), Cancer Genomics and Diagnostics (14 papers), Cancer Treatment and Pharmacology (14 papers), Cancer, Hypoxia, and Metabolism (11 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Genetic factors in colorectal cancer (7 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (606 citations), Biotechnology (213 citations), Genetics (167 citations) and Pulmonary and Respiratory Medicine (471 citations). Stephen Leong has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sabine Eckhardt, Aik Choon Tan, Todd M. Pitts, Wells A. Messersmith, John J. Tentler, John J. Arcaroli, Colin D. Weekes, Antonio Jimeno, Lia Gore and Christopher H. Lieu. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Molecular Cancer Therapeutics, European Journal of Cancer and Annals of Oncology.

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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