Te Ling
Impact in
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- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
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- Acute Myeloid Leukemia Research
Papers in
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- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
- Genomics and Chromatin Dynamics 3
- Cancer-related gene regulation 2
- Genetics 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- Wei Tao (5 shared papers)John D. Crispino (7 shared papers)Wenbing Xie (4 shared papers)Qiaoyun Zhu (4 shared papers)Ingrid Grummt (2 shared papers)Yonggang Zhou (2 shared papers)Henk G. Stunnenberg (1 shared paper)Weijun Feng (1 shared paper)
- Journals
- Blood (2 papers)Biochemical and Biophysical Research Communications (1 paper)Stem Cells (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesChinaPhilippines
In The Last Decade
Te Ling
12 papers receiving 341 citations
Peers
Comparison fields: 5 of 44
- Molecular Biology 279
- Hematology 43
- Genetics 35
- Genetics 49
- Cancer Research 22
Countries citing papers authored by Te Ling
This map shows the geographic impact of Te Ling'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 Te Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te Ling more than expected).
Fields of papers citing papers by Te Ling
This network shows the impact of papers produced by Te Ling. 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 Te Ling. The network helps show where Te Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Te Ling, 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 | 2012 | 103 | |
| 2 | 2013 | 75 | |
| 3 | 2018 | 43 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 31 | |
| 6 | 2013 | 19 | |
| 7 | 2018 | 19 | |
| 8 | 2013 | 13 | |
| 9 | 2018 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2024 | 1 |
About Te Ling
Te Ling is a scholar working on Molecular Biology, Genetics, Hematology, Rheumatology and Biomedical Engineering, having authored 12 papers that have together received 348 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Acute Myeloid Leukemia Research (3 papers), Genomics and Chromatin Dynamics (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Cancer-related gene regulation (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Molecular Biology (279 citations), Hematology (43 citations), Genetics (35 citations), Genetics (49 citations) and Cancer Research (22 citations). Te Ling has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Wei Tao, John D. Crispino, Wenbing Xie, Qiaoyun Zhu, Ingrid Grummt, Yonggang Zhou, Henk G. Stunnenberg, Weijun Feng, Le Zong and Guoliang Lyu. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, Stem Cells, Proceedings of the National Academy of Sciences and BMC Genomics.
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.