Baoming Wu

1.5k citations
50 papers · 1.2k · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hepatology top 5%
    • Liver physiology and pathology

Papers in

Baoming Wu

47 papers receiving 1.2k citations

Peers

Baoming Wu
Comparison fields: 5 of 104
  • Cancer Research 564
  • Hepatology 136
  • Molecular Biology 694
  • Epidemiology 221
  • Nephrology 44
Replace Zhaohui Tang with:
Zhaohui Tang China
Liang Wen China
Xuguang Yang China
Feixiang Wu China
Wenfeng Zhang China
Yurong Da China
Rui Duan China
Cheng Zeng China
Baoming Wu relative to Zhaohui Tang China Zhaohui Tang's profile →
Citations per field
00.5×1.5×2.1×
Zhaohui Tang · 1×
Citations per year

Countries citing papers authored by Baoming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Baoming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013328
2 2014135
3 2016101
4 201679
5 201672
6 201758
7 201455
8 201947
9 201646
10 201540
11 201323
12 201421
13
Acid-sensing ion channel 1 (ASIC1) mediates weak acid-induced migration of human malignant glioma cells.
202121
14 201620
15 201220
16 202017
17 202015
18 202312
19
[Introduction to medical data mining].
200312
20 202210

About Baoming Wu

Baoming Wu is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Cognitive Neuroscience, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Liver physiology and pathology (4 papers), EEG and Brain-Computer Interfaces (4 papers), Cancer-related molecular mechanisms research (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Immune cells in cancer (3 papers), Adenosine and Purinergic Signaling (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (564 citations), Hepatology (136 citations), Molecular Biology (694 citations), Epidemiology (221 citations) and Nephrology (44 citations). Baoming Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiao‐Ming Meng, Xiongwen Lv, Jun Li, Yong He, Cheng Huang, Lei Zhang, Cheng Zhi Huang, Jun Li, Taotao Ma and Cheng Huang. Their work appears in journals such as Frontiers in Pharmacology, Cellular Signalling, Scientific Reports, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and International Journal of Biological Sciences.

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.

Explore authors with similar magnitude of impact