Te Ling

509 citations
12 papers · 322 · h-index 8

Impact in

    • 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
    • Acute Myeloid Leukemia Research

Papers in

    • RNA modifications and cancer 6
    • Epigenetics and DNA Methylation 4
    • Genomics and Chromatin Dynamics 3
    • Cancer-related gene regulation 2
    • RNA Research and Splicing 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3
    • Hemoglobinopathies and Related Disorders 2

Te Ling

12 papers receiving 319 citations

Peers

Te Ling
Comparison fields: 5 of 36
  • Molecular Biology 272
  • Hematology 43
  • Genetics 36
  • Genetics 48
  • Cancer Research 23
Replace Jason Fixler with:
Jason Fixler United States
Moonjung Jung United States
Elisa Pavesi Italy
Asuka Kamio Japan
Thiyagaraj Mayuranathan United States
Virginie Saillour Canada
Yuichiro Semba Japan
Aurore Crétien France
Flávia S. Donaires Brazil
Antonella Santoro United Kingdom
Te Ling relative to Jason Fixler United States Jason Fixler's profile →
Citations per field
00.5×10×17×
Jason Fixler · 1×
Citations per year

Countries citing papers authored by Te Ling

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

12 of 12 papers shown
#Work
1 201295
2 201373
3 201837
4 201929
5 201928
6 201819
7 201317
8 201312
9 20184
10 20224
11 20203
12 20241

About Te Ling

Te Ling is a scholar working on Molecular Biology, Genetics, Hematology, Rheumatology and Epidemiology, having authored 12 papers that have together received 322 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (3 papers), Genomics and Chromatin Dynamics (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Cancer-related gene regulation (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (272 citations), Hematology (43 citations), Genetics (36 citations), Genetics (48 citations) and Cancer Research (23 citations). Te Ling has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wei Tao, John D. Crispino, Wenbing Xie, Qiaoyun Zhu, Ingrid Grummt, Yonggang Zhou, Weijun Feng, Henk G. Stunnenberg, Le Zong and Guoliang Lyu. Their work appears in journals such as Blood, IUBMB Life, BMC Genomics, Stem Cells and Leukemia.

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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