Tinglin Yan

846 citations
16 papers · 696 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation

Papers in

    • Extracellular vesicles in disease 3
    • Epigenetics and DNA Methylation 2
    • MicroRNA in disease regulation 4
    • Cancer, Hypoxia, and Metabolism 2

Tinglin Yan

16 papers receiving 692 citations

Peers

Tinglin Yan
Comparison fields: 5 of 79
  • Cancer Research 287
  • Molecular Biology 434
  • Immunology 104
  • Oncology 128
  • Biotechnology 32
Replace Christopher T. Poll with:
Christopher T. Poll United Kingdom
Kent Z.Q. Wang United States
Matteo Pecoraro Switzerland
Carolina Pinzon‐Guzman United States
Josef Novák United States
Xiaobo Yang China
Massimo Teson Italy
Ningning Niu China
Takashi Shinomiya Japan
Tinglin Yan relative to Christopher T. Poll United Kingdom Christopher T. Poll's profile →
Citations per field
00.5×11.5×
Christopher T. Poll · 1×
Citations per year

Countries citing papers authored by Tinglin Yan

Since Specialization
Citations

This map shows the geographic impact of Tinglin Yan'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 Tinglin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tinglin Yan more than expected).

Fields of papers citing papers by Tinglin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tinglin Yan. 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 Tinglin Yan. The network helps show where Tinglin Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Tinglin Yan, 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 Tinglin Yan Line = papers co-authored together Tinglin Yan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2018224
2 2013122
3 201964
4 201539
5 201934
6 201734
7 201432
8 201531
9 200623
10 201423
11 201721
12 201817
13 201414
14 201711
15
EphA2 silencing promotes growth, migration, and metastasis in salivary adenoid cystic carcinoma: in vitro and in vivo study.
20166
16 20051

About Tinglin Yan

Tinglin Yan is a scholar working on Molecular Biology, Cancer Research, Oncology, Cellular and Molecular Neuroscience and Immunology, having authored 16 papers that have together received 696 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (4 papers), Extracellular vesicles in disease (3 papers), Cancer Research and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cancer Research (287 citations), Molecular Biology (434 citations), Immunology (104 citations), Oncology (128 citations) and Biotechnology (32 citations). Tinglin Yan has collaborated with scholars based in China and United States. Frequent co-authors include Z. J. Shang, Erhui Jiang, Chunming Huang, Xiaocheng Zhou, Zhe Shao, Ke Liu, Zhi Xu, Lin Wang, Tao Li and Xinshe Liu. Their work appears in journals such as Scientific Reports, BioMed Research International, The FASEB Journal, Cancer Letters and Schizophrenia 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.

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