Len Taing
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Cancer-related gene regulation
- Developmental Biology and Gene Regulation
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in ⓘ
-
- Genomics and Chromatin Dynamics 11
- RNA modifications and cancer 7
- Genomics and Phylogenetic Studies 6
- Epigenetics and DNA Methylation 4
- Molecular Biology Techniques and Applications 2
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- Myles Brown (9 shared papers)X. Shirley Liu (7 shared papers)Clifford A. Meyer (5 shared papers)Tao Liu (5 shared papers)Chongzhi Zang (4 shared papers)Hanfei Sun (4 shared papers)Yong Zhang (4 shared papers)Yiwen Chen (2 shared papers)
- Journals
- Bioinformatics (3 papers)BMC Bioinformatics (2 papers)Nucleic Acids Research (2 papers)Nature Protocols (2 papers)Science Signaling (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Len Taing
16 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.1k
- Cancer Research 222
- Aging 13
- Immunology 144
- Oncology 179
Countries citing papers authored by Len Taing
This map shows the geographic impact of Len Taing'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 Len Taing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Len Taing more than expected).
Fields of papers citing papers by Len Taing
This network shows the impact of papers produced by Len Taing. 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 Len Taing. The network helps show where Len Taing may publish in the future.
Co-authors
The 25 scholars most cited alongside Len Taing, 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 | Cistrome: an integrative platform for transcriptional regulation studies Hit paper breakdown → | 2011 | 512 |
| 2 | 2016 | 367 | |
| 3 | 2013 | 188 | |
| 4 | 2018 | 109 | |
| 5 | 2016 | 57 | |
| 6 | 2017 | 26 | |
| 7 | 2012 | 25 | |
| 8 | 2023 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2016 | 19 | |
| 11 | 2021 | 16 | |
| 12 | 2013 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 4 | |
| 15 | 1999 | 4 | |
| 16 | 2022 | 1 |
About Len Taing
Len Taing is a scholar working on Molecular Biology, Hematology, Oncology, Inorganic Chemistry and Spectroscopy, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), RNA modifications and cancer (7 papers), Genomics and Phylogenetic Studies (6 papers), Epigenetics and DNA Methylation (4 papers), Molecular Biology Techniques and Applications (2 papers), Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (222 citations), Aging (13 citations), Immunology (144 citations) and Oncology (179 citations). Len Taing has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Myles Brown, X. Shirley Liu, Clifford A. Meyer, Tao Liu, Chongzhi Zang, Hanfei Sun, Yong Zhang, Yiwen Chen, Michael Poidinger and Yaron Turpaz. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Nucleic Acids Research, Nature Protocols and Science Signaling.
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.