Albert Cheong

705 citations
10 papers · 522 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Developmental Biology and Gene Regulation 2
    • RNA and protein synthesis mechanisms 1
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3
    • Estrogen and related hormone effects 1

Albert Cheong

10 papers receiving 511 citations

Peers

Albert Cheong
Comparison fields: 5 of 59
  • Hematology 105
  • Genetics 93
  • Oncology 135
  • Molecular Biology 306
  • Cell Biology 61
Replace Hai-Su Yang with:
Hai-Su Yang United States
Abdelhafid Saci France
Nevin M. Perera United Kingdom
Puneeta Arora United States
Shankar Varadarajan United Kingdom
Brock Whittenberger United States
Ana Lerga Spain
Frédéric Zilbermann Switzerland
Nanding Zhao United States
Marie-Hélène Delmotte France
Albert Cheong relative to Hai-Su Yang United States Hai-Su Yang's profile →
Citations per field
00.5×4.4×
Hai-Su Yang · 1×
Citations per year

Countries citing papers authored by Albert Cheong

Since Specialization
Citations

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

Fields of papers citing papers by Albert Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011106
2 2005101
3 201193
4 201287
5 200241
6 200433
7 200924
8 201021
9 20039
10 20077

About Albert Cheong

Albert Cheong is a scholar working on Molecular Biology, Genetics, Hematology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 522 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Prostate Cancer Treatment and Research (2 papers), Developmental Biology and Gene Regulation (2 papers), RNA and protein synthesis mechanisms (1 paper), Estrogen and related hormone effects (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Hematology (105 citations), Genetics (93 citations), Oncology (135 citations), Molecular Biology (306 citations) and Cell Biology (61 citations). Albert Cheong has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Veronica Novotny‐Diermayr, Stefan Hart, Patrick Gilligan, Karuna Sampath, Aniket V. Gore, S. Maegawa, Eric S. Weinberg, Kantharaj Ethirajulu, Ramesh Jayaraman and Yuxin Tan. Their work appears in journals such as Blood Cancer Journal, Nature, The Prostate, Gene and FEBS Letters.

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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