Jing Wang

35.1k citations
494 papers · 11.5k indexed · 1 hit paper · h-index 52

Impact in

Papers in

    • Cancer-related molecular mechanisms research 84
    • MicroRNA in disease regulation 26
    • Cancer Immunotherapy and Biomarkers 21
    • Lung Cancer Research Studies 19

Jing Wang

459 papers receiving 11.3k citations

Hit Papers

Using FlyAtlas to identify better Drosophila melanogaster models of human disease 2007 · 1.2k citations
1.2k20072026201320194008001.2k

Peers

Jing Wang
Comparison fields: 5 of 206
  • Cancer Research 2.3k
  • Cellular and Molecular Neuroscience 1.6k
  • Aging 132
  • Molecular Biology 4.7k
  • Physiology 1.7k
Replace Lin He with:
Lin He China
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Tao Li China
Cathryn M. Lewis United Kingdom
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Jing Wang relative to Lin He China Lin He's profile →
Citations per field
00.5×1.5×1.8×
Lin He · 1×
Citations per year

Countries citing papers authored by Jing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20245
3 20246
4 202412
5 20240
6 20241
7 20240
8 20238
9 20234
10 202327
11 20230
12 20234
13 202310
14 20219
15 202050
16
LncRNA DGCR5 promotes non-small cell lung cancer progression via sponging miR-218-5p
20203
17 201920
18
Effects of montelukast sodium combined with pidotimod on acute phase protein and immune function in children with acute bronchitis
20171
19 201341
20 201368

About Jing Wang

Jing Wang is a scholar working on Cancer Research, Oncology, Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine and Physiology, having authored 494 papers that have together received 11.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (84 papers), Pain Mechanisms and Treatments (46 papers), RNA modifications and cancer (44 papers), Circular RNAs in diseases (35 papers), MicroRNA in disease regulation (26 papers), Neuroscience and Neuropharmacology Research (26 papers), Cancer Immunotherapy and Biomarkers (21 papers) and Lung Cancer Research Studies (19 papers). The work is most often cited by research in Cancer Research (2.3k citations), Cellular and Molecular Neuroscience (1.6k citations), Aging (132 citations), Molecular Biology (4.7k citations) and Physiology (1.7k citations). Jing Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Julian A. T. Dow, Venkateswara R. Chintapalli, Toby Manders, Zhe Chen, Lisa Doan, Qiaosheng Zhang, Jeremy W. Luk, Hao Zhao, Zhifu Sun and Jean‐Pierre Kocher. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Cancer Research, Molecular Brain and Frontiers in Cell and Developmental Biology.

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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