WU Yi-ming

577 citations
49 papers · 375 · h-index 12

Impact in

Papers in

WU Yi-ming

48 papers receiving 365 citations

Peers

WU Yi-ming
Comparison fields: 5 of 102
  • Cancer Research 49
  • Health Information Management 12
  • Pulmonary and Respiratory Medicine 59
  • Molecular Biology 136
  • Health, Toxicology and Mutagenesis 24
Replace Gnanasambandan Ramanathan with:
Gnanasambandan Ramanathan India
Linxiao Fan China
Zhe Liu China
Kaiqi Zhang China
Jing Cheng China
Wen Zhong China
Parvin Rajabi Iran
Jiazhen Li China
WU Yi-ming relative to Gnanasambandan Ramanathan India Gnanasambandan Ramanathan's profile →
Citations per field
00.5×1.5×2.2×
Gnanasambandan Ramanathan · 1×
Citations per year

Countries citing papers authored by WU Yi-ming

Since Specialization
Citations

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

Fields of papers citing papers by WU Yi-ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by WU Yi-ming. 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 WU Yi-ming. The network helps show where WU Yi-ming may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201047
2 201145
3 201127
4 201022
5 201322
6 200522
7 202316
8 201616
9 201216
10
[Expression of AKT2, cyclin D1, and MMP-9 and their correlations to clinicopathologic features of non-small cell lung cancer].
200611
11 201211
12 201011
13
[The polymorphisms of XRCC1 gene and susceptibility to pulmonary cancer].
20129
14 20169
15 20008
16 20166
17 20245
18
[Diagnosis and prediction of lung cancer through different classification techniques with tumor markers].
20095
19
[Effects of heat shock protein 70-2 gene polymorphisms on the transcription of HSP 70-2 mRNA and the translation of HSP 70 protein in lung cancer].
20124
20 20164

About WU Yi-ming

WU Yi-ming is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Immunology, having authored 49 papers that have together received 375 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), RNA modifications and cancer (5 papers), DNA Repair Mechanisms (4 papers), Heat shock proteins research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Immune cells in cancer (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Cancer Research (49 citations), Health Information Management (12 citations), Pulmonary and Respiratory Medicine (59 citations), Molecular Biology (136 citations) and Health, Toxicology and Mutagenesis (24 citations). WU Yi-ming has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Yongjun Wu, Feifei Feng, Zhen Yan, Ran Ni, Lijuan Qin, Yong Zhao, Wei Wang, Lixia Wang, Zhitao Li and Yuzhen Wang. Their work appears in journals such as Lung Cancer, Microchemical Journal, Gene, PLoS ONE and SpringerPlus.

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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