Xue‐Ming Zhu

1.8k citations
69 papers · 1.3k · h-index 20

Impact in

Papers in

    • Fungal and yeast genetics research 29
    • Ubiquitin and proteasome pathways 5
    • Sphingolipid Metabolism and Signaling 4
    • Plant-Microbe Interactions and Immunity 24

Xue‐Ming Zhu

63 papers receiving 1.3k citations

Peers

Xue‐Ming Zhu
Comparison fields: 5 of 97
  • Cell Biology 240
  • Molecular Medicine 64
  • Plant Science 440
  • Molecular Biology 618
  • Cancer Research 122
Replace Kvin Lertpiriyapong with:
Kvin Lertpiriyapong United States
Xiaodong Jia China
Qian Zheng China
Francesco M. Mancuso Spain
Y Churin Germany
Luís M. Quirós Spain
Kohei Ogura Japan
Cheol‐Won Yun South Korea
Yanhan Dong China
Xue‐Ming Zhu relative to Kvin Lertpiriyapong United States Kvin Lertpiriyapong's profile →
Citations per field
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Kvin Lertpiriyapong · 1×
Citations per year

Countries citing papers authored by Xue‐Ming Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xue‐Ming Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xue‐Ming Zhu. 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 Xue‐Ming Zhu. The network helps show where Xue‐Ming Zhu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010148
2 2014133
3 2017130
4 201883
5 202151
6 201544
7 202243
8 202041
9 201836
10 201936
11 201436
12 201735
13 202226
14 201926
15 202226
16 201924
17 201023
18 202122
19
Toll-like receptor 2 promotes invasion by SGC-7901 human gastric carcinoma cells and is associated with gastric carcinoma metastasis.
201422
20 201619

About Xue‐Ming Zhu

Xue‐Ming Zhu is a scholar working on Molecular Biology, Plant Science, Epidemiology, Cell Biology and Pharmacology, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (29 papers), Plant-Microbe Interactions and Immunity (24 papers), Autophagy in Disease and Therapy (19 papers), Plant Pathogens and Fungal Diseases (13 papers), Fungal Biology and Applications (12 papers), Cellular transport and secretion (7 papers), Ubiquitin and proteasome pathways (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). The work is most often cited by research in Cell Biology (240 citations), Molecular Medicine (64 citations), Plant Science (440 citations), Molecular Biology (618 citations) and Cancer Research (122 citations). Xue‐Ming Zhu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Fu‐Cheng Lin, Xiaohong Liu, Huiyan Wen, Huan Yang, Shuang Liang, Jianping Lu, Huanbin Shi, Xiaofang Xie, Lin Li and Chunyan He. Their work appears in journals such as International Journal of Molecular Sciences, Cell Communication and Signaling, Virulence, Autophagy and Environmental Microbiology.

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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