Chunfen Mo

2.0k citations
35 papers · 1.6k · h-index 19

Impact in

Papers in

    • RNA Research and Splicing 3
    • Immune Cell Function and Interaction 4
    • Immune cells in cancer 3
    • Immunotherapy and Immune Responses 3
    • Immune Response and Inflammation 3
    • T-cell and B-cell Immunology 3

Chunfen Mo

34 papers receiving 1.6k citations

Peers

Chunfen Mo
Comparison fields: 5 of 105
  • Geriatrics and Gerontology 79
  • Immunology 338
  • Aging 29
  • Cancer Research 181
  • Pharmacology 96
Replace Chul Won Yun with:
Chul Won Yun South Korea
Elżbieta Janda Italy
Qi‐Zhu Tang China
Pei‐Ying Pai Taiwan
Chia-Wen Tsai Taiwan
Hyoung Chul Choi South Korea
Si‐Chi Xu China
Alexander Akhmedov Switzerland
Song Xu China
Yu‐Pei Yuan China
Chunfen Mo relative to Chul Won Yun South Korea Chul Won Yun's profile →
Citations per field
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Chul Won Yun · 1×
Citations per year

Countries citing papers authored by Chunfen Mo

Since Specialization
Citations

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

Fields of papers citing papers by Chunfen Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013396
2 2016256
3 2012229
4 201392
5 202374
6 202061
7 201150
8 201548
9 201746
10 201644
11 202043
12 202141
13 201739
14 202327
15 201324
16 201922
17 202121
18 202420
19 201819
20 202115

About Chunfen Mo

Chunfen Mo is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Pharmacology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Immune Cell Function and Interaction (4 papers), Immune cells in cancer (3 papers), RNA Research and Splicing (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Geriatrics and Gerontology (79 citations), Immunology (338 citations), Aging (29 citations), Cancer Research (181 citations) and Pharmacology (96 citations). Chunfen Mo has collaborated with scholars based in China, Japan and Macao. Frequent co-authors include Hengyi Xiao, Xiaoqiang Tang, Dandan Wei, Xiaojuan Han, Yongsheng Wang, Junhong Li, Ming Yang, Jie Zhang, Hong Tang and Zhe Wang. Their work appears in journals such as Journal of Cellular Biochemistry, British Journal of Cancer, Frontiers in Pharmacology, Advanced Functional Materials and European Journal of Pharmacology.

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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