Len Taing
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
- Developmental Biology and Gene Regulation
Papers in
-
- Genomics and Chromatin Dynamics 13
- RNA modifications and cancer 7
- Genomics and Phylogenetic Studies 4
- Epigenetics and DNA Methylation 4
-
- Acute Myeloid Leukemia Research 3
- Co-authors
- Myles Brown (10 shared papers)X. Shirley Liu (8 shared papers)Clifford A. Meyer (6 shared papers)Chongzhi Zang (4 shared papers)Hanfei Sun (4 shared papers)Yong Zhang (4 shared papers)Yiwen Chen (2 shared papers)Qiu Wu (2 shared papers)
- Journals
- Bioinformatics (3 papers)Nature Protocols (2 papers)BMC Bioinformatics (2 papers)Blood (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Len Taing
23 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 267
- Molecular Biology 1.3k
- Oncology 278
- Immunology 190
- Hematology 81
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 549 | |
| 2 | 2016 | 405 | |
| 3 | 2013 | 204 | |
| 4 | 2018 | 151 | |
| 5 | 2016 | 84 | |
| 6 | 2023 | 83 | |
| 7 | 2020 | 83 | |
| 8 | 2023 | 43 | |
| 9 | 2023 | 37 | |
| 10 | 2017 | 29 | |
| 11 | 2021 | 29 | |
| 12 | 2012 | 29 | |
| 13 | 2020 | 26 | |
| 14 | 2024 | 25 | |
| 15 | 2020 | 21 | |
| 16 | 2016 | 20 | |
| 17 | 2023 | 15 | |
| 18 | 2013 | 14 | |
| 19 | 2020 | 11 | |
| 20 | 2021 | 9 |
About Len Taing
Len Taing is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA modifications and cancer (7 papers), Genomics and Phylogenetic Studies (4 papers), Epigenetics and DNA Methylation (4 papers), Acute Myeloid Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (267 citations), Molecular Biology (1.3k citations), Oncology (278 citations), Immunology (190 citations) and Hematology (81 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, Chongzhi Zang, Hanfei Sun, Yong Zhang, Yiwen Chen, Qiu Wu, Qian Qin and Shenglin Mei. Their work appears in journals such as Bioinformatics, Nature Protocols, BMC Bioinformatics, Blood and Nucleic Acids 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.