Huiling Li

542 citations
46 papers · 387 · h-index 11

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Colorectal Cancer Treatments and Studies
    • Cancer Treatment and Pharmacology
    • Pancreatic and Hepatic Oncology Research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • RNA modifications and cancer 3
    • Ubiquitin and proteasome pathways 2
    • Insect and Arachnid Ecology and Behavior 4

Huiling Li

41 papers receiving 379 citations

Peers

Huiling Li
Comparison fields: 5 of 76
  • Cancer Research 87
  • Oncology 106
  • Hepatology 16
  • Molecular Biology 141
  • Pulmonary and Respiratory Medicine 53
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В. Е. Шевченко Russia
Yukie Yoshii Japan
Mincheng Yu China
Guoping Niu China
Rakad M. Kh. Al-Jumaily Iraq
Violeta Jonušienė Lithuania
Zhiwei Yu China
Lu Hao China
Brett Burkholder United States
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Citations per year

Countries citing papers authored by Huiling Li

Since Specialization
Citations

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

Fields of papers citing papers by Huiling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006127
2 202023
3 201723
4 202119
5 202117
6 202416
7 201715
8 202212
9 201711
10 202310
11 202010
12
Prioritization of EGFR/IGF-IR/VEGFR2 combination targeted therapies utilizing cancer models.
20098
13 20188
14 20237
15 20167
16 20177
17 20206
18 20226
19 20196
20 20205

About Huiling Li

Huiling Li is a scholar working on Molecular Biology, Genetics, Cancer Research, Water Science and Technology and Oncology, having authored 46 papers that have together received 387 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer, Lipids, and Metabolism (3 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Cancer Research (87 citations), Oncology (106 citations), Hepatology (16 citations), Molecular Biology (141 citations) and Pulmonary and Respiratory Medicine (53 citations). Huiling Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dhanvanthri S. Deevi, Erik Corcoran, Daniel J. Hicklin, James R. Tonra, Su Wang, Francine E. Carrick, Aiguo Wang, Jingzhi Zhang, Jingyu Wang and Fujin Wang. Their work appears in journals such as Breast Cancer Targets and Therapy, Langmuir, American Journal of Translational Research, Molecular Carcinogenesis and Flow Measurement and Instrumentation.

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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