Tim Kong
Impact in
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Sensory Systems top 10%
- Ion Channels and Receptors
Papers in
- Genetics 15
- Myeloproliferative Neoplasms: Diagnosis and Treatment 14
- Chronic Lymphocytic Leukemia Research 1
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- Acute Myeloid Leukemia Research 4
- Co-authors
- Stephen T. Oh (15 shared papers)Daniel A.C. Fisher (10 shared papers)Sidong Huang (3 shared papers)Angelo B. A. Laranjeira (10 shared papers)Morag Park (2 shared papers)Yibo Xue (2 shared papers)Mary C. Fulbright (9 shared papers)Xianbing Zhu (2 shared papers)
- Journals
- Blood (4 papers)Nature Communications (4 papers)Journal of Clinical Investigation (2 papers)Experimental Hematology (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Tim Kong
25 papers receiving 735 citations
Peers
Comparison fields: 5 of 57
- Genetics 141
- Sensory Systems 41
- Oncology 132
- Molecular Biology 245
- Hematology 50
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 150 | |
| 2 | 2019 | 122 | |
| 3 | 2019 | 93 | |
| 4 | 2023 | 53 | |
| 5 | 2019 | 39 | |
| 6 | 2018 | 37 | |
| 7 | 2024 | 34 | |
| 8 | 2022 | 33 | |
| 9 | 2023 | 33 | |
| 10 | 2017 | 29 | |
| 11 | 2022 | 20 | |
| 12 | 2024 | 16 | |
| 13 | Ethnic Differences in Genetic Ion Channelopathies Associated with Sudden Cardiac Death: A Systematic Review and Meta-Analysis. | 2017 | 15 |
| 14 | 2021 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2018 | 12 | |
| 17 | 2025 | 12 | |
| 18 | 2024 | 7 | |
| 19 | 2022 | 4 | |
| 20 | 2019 | 2 |
About Tim Kong
Tim Kong is a scholar working on Genetics, Hematology, Sensory Systems, Pulmonary and Respiratory Medicine and Oncology, having authored 29 papers that have together received 745 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Acute Myeloid Leukemia Research (4 papers), Cancer Immunotherapy and Biomarkers (2 papers), Ion Channels and Receptors (2 papers), Advanced Breast Cancer Therapies (2 papers), Chromatin Remodeling and Cancer (2 papers), Chronic Lymphocytic Leukemia Research (1 paper) and Innovations in Medical Education (1 paper). The work is most often cited by research in Genetics (141 citations), Sensory Systems (41 citations), Oncology (132 citations), Molecular Biology (245 citations) and Hematology (50 citations). Tim Kong has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Stephen T. Oh, Daniel A.C. Fisher, Sidong Huang, Angelo B. A. Laranjeira, Morag Park, Yibo Xue, Mary C. Fulbright, Xianbing Zhu, Marie‐Christine Guiot and Josie Ursini‐Siegel. Their work appears in journals such as Blood, Nature Communications, Journal of Clinical Investigation, Experimental Hematology and Cancer Research.
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.