Tim Kong

926 citations
24 papers · 357 indexed · h-index 10

Impact in

  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Ion Channels and Receptors

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 14
    • Chronic Lymphocytic Leukemia Research 3
    • Acute Myeloid Leukemia Research 12

Tim Kong

24 papers receiving 352 citations

Peers

Tim Kong
Comparison fields: 5 of 66
  • Genetics 93
  • Sensory Systems 36
  • Hematology 74
  • Oncology 94
  • Molecular Biology 188
Replace Aarthi Jayanthan with:
Aarthi Jayanthan Canada
Juan García Valero Spain
Eva Zebedin Austria
Thomas Zerjatke Germany
Scott Langdon United States
Jessica Iorio Italy
Maxim Mogilevsky Israel
Edward J. Sanderlin United States
Gomathi Jayaraman United States
Tiziano Lottini Italy
Tim Kong relative to Aarthi Jayanthan Canada Aarthi Jayanthan's profile →
Citations per field
00.5×7.2×
Aarthi Jayanthan · 1×
Citations per year

Countries citing papers authored by Tim Kong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20241
4 20247
5 20241
6 202339
7 20239
8 20231
9 20231
10 202315
11 20232
12 202225
13 20221
14 20222
15 202112
16 201933
17 2019103
18 201835
19 201729
20 20035

About Tim Kong

Tim Kong is a scholar working on Genetics, Hematology, Sensory Systems, Hardware and Architecture and Toxicology, having authored 24 papers that have together received 357 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), Cytokine Signaling Pathways and Interactions (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), VLSI and FPGA Design Techniques (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and VLSI and Analog Circuit Testing (2 papers). The work is most often cited by research in Genetics (93 citations), Sensory Systems (36 citations), Hematology (74 citations), Oncology (94 citations) and Molecular Biology (188 citations). Tim Kong has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stephen T. Oh, Sidong Huang, Xianbing Zhu, Marie‐Christine Guiot, Yibo Xue, Morag Park, Angelo B. A. Laranjeira, Geneviève Morin, Josie Ursini‐Siegel and Wang Zheng. Their work appears in journals such as Blood, Blood Advances, Experimental Hematology, Molecular Cancer Therapeutics 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.

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