Ting Ling

563 citations
33 papers · 388 · h-index 13

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • interferon and immune responses

Papers in

    • Ubiquitin and proteasome pathways 3
    • RNA modifications and cancer 3
    • interferon and immune responses 7
    • Immune Response and Inflammation 3

Ting Ling

31 papers receiving 386 citations

Peers

Ting Ling
Comparison fields: 5 of 85
  • Cancer Research 77
  • Immunology 72
  • Molecular Biology 209
  • Renewable Energy, Sustainability and the Environment 46
  • Aquatic Science 13
Replace Jingjing Lu with:
Jingjing Lu China
Xiaoqiang Wu China
Salvatore Benfatto Italy
Georgia Demetriou South Africa
Mingyang Shao China
Yayoi Kagami Japan
Sun Mi Ahn United States
Lisa M. Fitzgerald United States
Kenichi Sogawa Japan
Elena Gallego Spain
Ting Ling relative to Jingjing Lu China Jingjing Lu's profile →
Citations per field
00.5×9.2×
Jingjing Lu · 1×
Citations per year

Countries citing papers authored by Ting Ling

Since Specialization
Citations

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

Fields of papers citing papers by Ting Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202064
2 202139
3 202035
4 202027
5 201821
6 201920
7 202019
8 202218
9 202217
10 201915
11 201514
12 201914
13 202112
14 202112
15 20248
16 20217
17 20237
18 20156
19 20215
20 20234

About Ting Ling

Ting Ling is a scholar working on Molecular Biology, Immunology, Cancer Research, Ecology and Oncology, having authored 33 papers that have together received 388 indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Algal biology and biofuel production (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Ubiquitin and proteasome pathways (3 papers), Immune Response and Inflammation (3 papers), Viral Infections and Vectors (3 papers), Microbial Community Ecology and Physiology (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (77 citations), Immunology (72 citations), Molecular Biology (209 citations), Renewable Energy, Sustainability and the Environment (46 citations) and Aquatic Science (13 citations). Ting Ling has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Hai‐long Piao, Huan Qi, Tian Xia, Huan Chen, Di Chen, Wuxiyar Otkur, Xiaolong Liu, Liang‐Guo Xu, Chengxu Zhou and Jilin Xu. Their work appears in journals such as Molecular Immunology, Frontiers in Microbiology, Ecotoxicology and Environmental Safety, Advanced Science and Cell Reports.

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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