Longxin Wang

560 citations
29 papers · 445 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Galectins and Cancer Biology

Papers in

Longxin Wang

28 papers receiving 438 citations

Peers

Longxin Wang
Comparison fields: 5 of 93
  • Cancer Research 144
  • Immunology 73
  • Molecular Biology 236
  • Neurology 22
  • Oncology 71
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Citations per field
00.5×10×15.5×
Rui Gu · 1×
Citations per year

Countries citing papers authored by Longxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Longxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201168
2 201551
3 201449
4 201339
5 201838
6 200836
7 200935
8 201433
9 202411
10 20239
11 20089
12 20088
13 20177
14
Decreased expression of receptor tyrosine kinase of EphB1 protein in renal cell carcinomas.
20147
15
Expression of EphA2 protein is positively associated with age, tumor size and Fuhrman nuclear grade in clear cell renal cell carcinomas.
20157
16 20156
17 20206
18 20185
19 20204
20
EphA4 protein promotes invasion in clear cell renal cell carcinomas.
20174

About Longxin Wang

Longxin Wang is a scholar working on Molecular Biology, Pharmacology, Oncology, Cancer Research and Electrical and Electronic Engineering, having authored 29 papers that have together received 445 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (3 papers), Electrochemical sensors and biosensors (2 papers), Apelin-related biomedical research (2 papers), Enzyme Catalysis and Immobilization (2 papers), RNA Research and Splicing (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immunotherapy and Immune Responses (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (144 citations), Immunology (73 citations), Molecular Biology (236 citations), Neurology (22 citations) and Oncology (71 citations). Longxin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wenquan Zhou, Zhi‐Nan Chen, Zhengyu Zhang, Xiaoming Yi, Chaopeng Tang, Li Yu, Jingping Ge, Weihong Wen, Feng Tian and Cheng‐Gong Liao. Their work appears in journals such as Cancer Letters, Molecular and Cellular Biology, Clinical Cancer Research, Oncology Reports and Acta Pharmaceutica Sinica 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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