Xuejun Hu

1.7k citations
65 papers · 1.3k · h-index 22

Impact in

Papers in

    • Cell death mechanisms and regulation 6
    • Ubiquitin and proteasome pathways 4
    • Glycosylation and Glycoproteins Research 4
    • Peptidase Inhibition and Analysis 5

Xuejun Hu

60 papers receiving 1.3k citations

Peers

Xuejun Hu
Comparison fields: 5 of 92
  • Cancer Research 255
  • Molecular Medicine 86
  • Oncology 306
  • Molecular Biology 640
  • Immunology 133
Replace Chandra Prakash Prasad with:
Chandra Prakash Prasad India
Jian Suo China
Vanessa Innao Italy
Haitao Chen China
Denise K. Oelschlager United States
Theoni Trangas Greece
Zheng Zhu China
Shilpa Kuttikrishnan Qatar
Zhao‐Yang Lu China
Qingxia Fan China
Xuejun Hu relative to Chandra Prakash Prasad India Chandra Prakash Prasad's profile →
Citations per field
00.5×1.5×
Chandra Prakash Prasad · 1×
Citations per year

Countries citing papers authored by Xuejun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xuejun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200975
2 201772
3 200965
4 202056
5 201154
6 201247
7 200946
8 201242
9 201340
10 201736
11 202135
12 201735
13 200834
14 201134
15 201928
16 200927
17 201727
18 201825
19 201525
20 201724

About Xuejun Hu

Xuejun Hu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Cell death mechanisms and regulation (6 papers), interferon and immune responses (5 papers), Cancer Mechanisms and Therapy (5 papers), Peptidase Inhibition and Analysis (5 papers), Curcumin's Biomedical Applications (5 papers), Ubiquitin and proteasome pathways (4 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Cancer Research (255 citations), Molecular Medicine (86 citations), Oncology (306 citations), Molecular Biology (640 citations) and Immunology (133 citations). Xuejun Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiujuan Qu, Yunpeng Liu, Kezuo Hou, Ye Zhang, Ling Xu, Xiaofang Che, Yuee Teng, Jing Liu, Jingdong Zhang and Yibo Fan. Their work appears in journals such as Cell Biology International, Frontiers in Oncology, Oncotarget, Molecular and Cellular Biochemistry and BMC Cancer.

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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