Chunhua Ling

864 citations
45 papers · 658 indexed · h-index 17

Chunhua Ling

43 papers receiving 646 citations

Peers

Chunhua Ling
Comparison fields: 5 of 76
  • Cancer Research 296
  • Geriatrics and Gerontology 26
  • Molecular Biology 422
  • Oncology 111
  • Molecular Medicine 20
Replace Kumiko Hongo with:
Kumiko Hongo Japan
Longyu Jin China
Danian Nie China
Daichi Ishikawa Japan
Yu Bai China
Elisavet Paplomata United States
Eufemia Savino Italy
Patrycja Sosińska Poland
Hongmei Yong China
Chunhua Ling relative to Kumiko Hongo Japan Kumiko Hongo's profile →
Citations per field
00.5×1.5×2.5×
Kumiko Hongo · 1×
Citations per year

Countries citing papers authored by Chunhua Ling

Since Specialization
Citations

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

Fields of papers citing papers by Chunhua Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20229
3 20222
4 20221
5 202219
6
Long noncoding RNA AK027294 acts as an oncogene in non-small cell lung cancer by up-regulating STAT3
20212
7 20197
8 201937
9 20182
10 20183
11 201828
12 20188
13 201862
14 201718
15 20178
16
Combination therapy in pulmonary arterial hypertension:a meta-analysis
20123
17 201226
18
[The in vitro and in vivo effects of adenovirus-mediated inhibitor of growth 4 and interleukin-24 co-expression on the radiosensitivity of human lung adenocarcinoma].
20112
19 201031
20 201094

About Chunhua Ling

Chunhua Ling is a scholar working on Cancer Research, Geriatrics and Gerontology and Internal Medicine, having authored 45 papers that have together received 658 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (9 papers), MicroRNA in disease regulation (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Circular RNAs in diseases (5 papers), RNA Research and Splicing (4 papers), Mycobacterium research and diagnosis (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). The work is most often cited by research in Cancer Research (296 citations), Geriatrics and Gerontology (26 citations) and Molecular Biology (422 citations). Chunhua Ling has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaochen Wang, Jun Zhao, Zeyi Liu, Min Jiang, Limin Yang, Shaomu Chen, Ning Xu, Yufeng Liu, Haicheng Tang and Yan Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Cancer and Medicine.

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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