Jun Mou

453 citations
10 papers · 332 · 1 hit paper · h-index 5

Impact in

Papers in

    • Immune Cell Function and Interaction 3
    • Immunodeficiency and Autoimmune Disorders 2
    • interferon and immune responses 1
    • Galectins and Cancer Biology 1

Jun Mou

7 papers receiving 330 citations

Jun Mou's Hit Papers

Glutaminase 1 expression in colorectal cancer cells is induced by hypoxia and required for tumor growth, invasion, and metastatic colonization 2019 · 167 citations
1670+2+4Years since publication50100150

Peers

Jun Mou
Comparison fields: 5 of 55
  • Cancer Research 152
  • Immunology 133
  • Infectious Diseases 54
  • Biochemistry 20
  • Molecular Biology 172
Replace Natalie H. Surh with:
Natalie H. Surh United States
Hung Sing Li Hong Kong
Maurits Roorda Netherlands
Hajar Alemohammad Iran
Kensei Komatsu United States
Basira Najafzadeh Iran
Shu-Zhen Dai China
Marcos Vásquez Spain
Luciano Mazzoccoli Brazil
Kunal Desai United States
Jun Mou relative to Natalie H. Surh United States Natalie H. Surh's profile →
Citations per field
00.5×1.7×
Natalie H. Surh · 1×
Citations per year

Countries citing papers authored by Jun Mou

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Glutaminase 1 expression in colorectal cancer cells is induced by hypoxia and required for tumor growth, invasion, and metastatic colonization
Hit paper breakdown →
2019167
2 2018116
3 202129
4 202112
5 20245
6 20252
7
[Research Progress in Black Queen Cell Virus Causing Disease].
20151
8 20250
9 20240
10 20250

About Jun Mou

Jun Mou is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine and Cancer Research, having authored 10 papers that have together received 332 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Tuberculosis Research and Epidemiology (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), interferon and immune responses (1 paper), MicroRNA in disease regulation (1 paper), Insect and Pesticide Research (1 paper), Plant and animal studies (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cancer Research (152 citations), Immunology (133 citations), Infectious Diseases (54 citations), Biochemistry (20 citations) and Molecular Biology (172 citations). Jun Mou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuquan Wei, Naoharu Takano, Ganfeng Xie, Houjie Liang, Bin Shao, Gregg L. Semenza, Lisha Xiang, Qijie Li, Yanqiu Gong and Yantong Liu. Their work appears in journals such as Frontiers in Immunology, Molecular Therapy, Frontiers in Cell and Developmental Biology, Cell Death and Disease and Immunity.

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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