Linling Wang

583 citations
33 papers · 373 · h-index 11

Impact in

  • Parasitology top 10%
    • Parasitic Infections and Diagnostics
    • Insect and Pesticide Research
    • Insect symbiosis and bacterial influences

Papers in

    • Insect Resistance and Genetics 4
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • CAR-T cell therapy research 5

Linling Wang

29 papers receiving 371 citations

Peers

Linling Wang
Comparison fields: 5 of 78
  • Parasitology 66
  • Insect Science 83
  • Toxicology 11
  • Immunology 60
  • Oncology 73
Replace Jorge Cruz‐Reyes with:
Jorge Cruz‐Reyes United States
Kapila Gunasekera Switzerland
Ali Ouaissi France
Kengo Kuroda Japan
Atsushi Miyashita Japan
Manisha Pathak India
Silvia A. Longhi Argentina
Claudia M. Ochatt Argentina
Prasad K. Padmanabhan Canada
Linling Wang relative to Jorge Cruz‐Reyes United States Jorge Cruz‐Reyes's profile →
Citations per field
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Jorge Cruz‐Reyes · 1×
Citations per year

Countries citing papers authored by Linling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Linling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Linling 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 Linling Wang Line = papers co-authored together Linling Wang 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 201171
2
Growth inhibitory effect of Cucurbitacin E on breast cancer cells.
201336
3 201734
4 201830
5 202128
6 201923
7 202321
8 202221
9 201612
10 201610
11 202310
12 20149
13 20189
14 20188
15 20198
16 20207
17 20216
18 20075
19 20235
20 20104

About Linling Wang

Linling Wang is a scholar working on Molecular Biology, Oncology, Immunology, Insect Science and Epidemiology, having authored 33 papers that have together received 373 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Insect Resistance and Genetics (4 papers), Antifungal resistance and susceptibility (3 papers), Fungal Infections and Studies (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Glaucoma and retinal disorders (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Parasitology (66 citations), Insect Science (83 citations), Toxicology (11 citations), Immunology (60 citations) and Oncology (73 citations). Linling Wang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Zeyang Zhou, Zhi Li, Xiaojia Wang, Jie Chen, Wei Huang, Guoqing Pan, Zhi Li, Yu Wang, Donglin Yang and Tian Li. Their work appears in journals such as Journal of Clinical Oncology, Journal of Food Composition and Analysis, Scientific Reports, Frontiers in Immunology and Journal of Zhejiang University SCIENCE B.

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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