Bryan Wong

569 citations
20 papers · 454 · h-index 11

Impact in

    • Cancer Cells and Metastasis
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

Bryan Wong

19 papers receiving 436 citations

Peers

Bryan Wong
Comparison fields: 5 of 60
  • Oncology 142
  • Hematology 56
  • Cancer Research 69
  • Genetics 43
  • Pulmonary and Respiratory Medicine 98
Replace Zsuzsa Rákosy with:
Zsuzsa Rákosy Hungary
Karin Mengele Germany
Erwin van Montfort Netherlands
Shima Uneda Japan
Kurt Baeten Belgium
Philippe De La Rochère France
Gabi Vohwinkel Germany
Todd J. Waldron United States
Cynthia S. Snyder United States
Ileana Bortolomai Italy
Bryan Wong relative to Zsuzsa Rákosy Hungary Zsuzsa Rákosy's profile →
Citations per field
00.5×2×2.7×
Zsuzsa Rákosy · 1×
Citations per year

Countries citing papers authored by Bryan Wong

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bryan Wong, 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 Bryan Wong Line = papers co-authored together Bryan Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010101
2 200987
3 200444
4 201438
5 199435
6 200828
7 200727
8 200919
9 201018
10 199614
11 200811
12 20168
13 20087
14 20156
15 19954
16 20083
17 20222
18 20191
19 20091
20 20240

About Bryan Wong

Bryan Wong is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Hematology, Oncology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 454 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (3 papers), Prostate Cancer Treatment and Research (3 papers), Renal and related cancers (2 papers), CAR-T cell therapy research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Erythropoietin and Anemia Treatment (2 papers). The work is most often cited by research in Oncology (142 citations), Hematology (56 citations), Cancer Research (69 citations), Genetics (43 citations) and Pulmonary and Respiratory Medicine (98 citations). Bryan Wong has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Nam H. Dang, Nicholas J. Vogelzang, James T. Symanowski, Jing Hu, Yupo Ma, Oscar B. Goodman, Aseem Anand, David K. Pomerantz, Louis M. Fink and Howard I. Scher. Their work appears in journals such as Clinical Genitourinary Cancer, Blood, Cancer Investigation, Cancer Chemotherapy and Pharmacology and Molecular Cancer Therapeutics.

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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