Tim Kong
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Sensory Systems top 10%
- Ion Channels and Receptors
Papers in
- Genetics 16
- Myeloproliferative Neoplasms: Diagnosis and Treatment 14
- Chronic Lymphocytic Leukemia Research 3
- Hematology 13
- Acute Myeloid Leukemia Research 12
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Stephen T. Oh (16 shared papers)Sidong Huang (4 shared papers)Angelo B. A. Laranjeira (14 shared papers)Daniel A.C. Fisher (10 shared papers)Morag Park (2 shared papers)Yibo Xue (2 shared papers)Xianbing Zhu (2 shared papers)Marie‐Christine Guiot (2 shared papers)
- Journals
- Blood (6 papers)Experimental Hematology (2 papers)Blood Advances (2 papers)Blood Cancer Journal (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Tim Kong
25 papers receiving 388 citations
Peers
Comparison fields: 5 of 67
- Genetics 102
- Sensory Systems 37
- Hematology 68
- Oncology 80
- Molecular Biology 172
Countries citing papers authored by Tim Kong
This map shows the geographic impact of Tim Kong'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 Tim Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Kong more than expected).
Fields of papers citing papers by Tim Kong
This network shows the impact of papers produced by Tim Kong. 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 Tim Kong. The network helps show where Tim Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 2023 | 42 | |
| 3 | 2018 | 36 | |
| 4 | 2019 | 33 | |
| 5 | 2017 | 30 | |
| 6 | 2022 | 30 | |
| 7 | 2023 | 20 | |
| 8 | 2007 | 18 | |
| 9 | 2021 | 12 | |
| 10 | 2018 | 12 | |
| 11 | Ethnic Differences in Genetic Ion Channelopathies Associated with Sudden Cardiac Death: A Systematic Review and Meta-Analysis. | 2017 | 11 |
| 12 | 2024 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2003 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Tim Kong
Tim Kong is a scholar working on Genetics, Hematology, Molecular Biology, Oncology and Hardware and Architecture, having authored 25 papers that have together received 394 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Acute Myeloid Leukemia Research (12 papers), Kruppel-like factors research (6 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), VLSI and FPGA Design Techniques (2 papers) and VLSI and Analog Circuit Testing (2 papers). The work is most often cited by research in Genetics (102 citations), Sensory Systems (37 citations), Hematology (68 citations), Oncology (80 citations) and Molecular Biology (172 citations). Tim Kong has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stephen T. Oh, Sidong Huang, Angelo B. A. Laranjeira, Daniel A.C. Fisher, Morag Park, Yibo Xue, Xianbing Zhu, Marie‐Christine Guiot, Geneviève Morin and Anne V. Gonzalez. Their work appears in journals such as Blood, Experimental Hematology, Blood Advances, Blood Cancer Journal and The FASEB Journal.
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.