Tim Huang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Gene expression and cancer classification
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
Papers in
-
- Gene expression and cancer classification 3
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Circular RNAs in diseases 2
- Bioinformatics and Genomic Networks 2
-
- Cancer-related molecular mechanisms research 4
- Co-authors
- Osman N. Özeş (1 shared paper)Ali Özeş (1 shared paper)Kenneth P. Nephew (3 shared papers)Daniela Matei (1 shared paper)Yaowen Liu (1 shared paper)Jianhua Ruan (2 shared papers)Reen Wu (2 shared papers)Brett A. Hopkins (1 shared paper)
- Journals
- Parasites & Vectors (3 papers)Cell Reports (2 papers)Cancer Research (2 papers)Differentiation (1 paper)Avian Diseases (1 paper)
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Tim Huang
17 papers receiving 388 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 214
- Molecular Biology 292
- Microbiology 15
- Oncology 47
- Aging 3
Countries citing papers authored by Tim Huang
This map shows the geographic impact of Tim Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Huang more than expected).
Fields of papers citing papers by Tim Huang
This network shows the impact of papers produced by Tim Huang. 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 Huang. The network helps show where Tim Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 236 | |
| 2 | 2014 | 28 | |
| 3 | 1988 | 27 | |
| 4 | 1989 | 16 | |
| 5 | 2020 | 15 | |
| 6 | 2008 | 15 | |
| 7 | 1998 | 14 | |
| 8 | 2023 | 12 | |
| 9 | 2021 | 5 | |
| 10 | 2011 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Tim Huang
Tim Huang is a scholar working on Molecular Biology, Cancer Research, Parasitology, Oncology and Epidemiology, having authored 20 papers that have together received 389 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Parasites and Host Interactions (3 papers), Gene expression and cancer classification (3 papers), Cell Adhesion Molecules Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Circular RNAs in diseases (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Cancer Research (214 citations), Molecular Biology (292 citations), Microbiology (15 citations), Oncology (47 citations) and Aging (3 citations). Tim Huang has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Osman N. Özeş, Ali Özeş, Kenneth P. Nephew, Daniela Matei, Yaowen Liu, Jianhua Ruan, Reen Wu, Brett A. Hopkins, Don M. Carlson and L. D. Olson. Their work appears in journals such as Parasites & Vectors, Cell Reports, Cancer Research, Differentiation and Avian Diseases.
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.