Lingchen Fu

1.2k citations
18 papers · 972 · h-index 16

Impact in

    • NF-κB Signaling Pathways
    • Cancer, Hypoxia, and Metabolism
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • RNA Research and Splicing 2
    • Peroxisome Proliferator-Activated Receptors 2
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 3
    • Immune Response and Inflammation 3

Lingchen Fu

18 papers receiving 965 citations

Peers

Lingchen Fu
Comparison fields: 5 of 88
  • Cancer Research 244
  • Immunology 271
  • Oncology 209
  • Molecular Biology 443
  • Aging 11
Replace Tasha Morrison with:
Tasha Morrison United States
Rumela Chakrabarti United States
Beata Pyrzyńska Poland
Jimmy K. Stauffer United States
Deyong Jia China
Wenyan Miao United States
Theresia R. Kress Italy
Feng Han China
Laurens T. van der Meer Netherlands
Eugen Ulrich United Kingdom
Lingchen Fu relative to Tasha Morrison United States Tasha Morrison's profile →
Citations per field
00.5×2.5×
Tasha Morrison · 1×
Citations per year

Countries citing papers authored by Lingchen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lingchen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015229
2 2006133
3 2012115
4 200968
5 201463
6 201054
7 201246
8 201943
9 200643
10 200734
11 201132
12 201425
13 200724
14 202223
15 201221
16 199017
17 20081
18 20041

About Lingchen Fu

Lingchen Fu is a scholar working on Molecular Biology, Immunology, Cancer Research, Cell Biology and Oncology, having authored 18 papers that have together received 972 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (3 papers), RNA Research and Splicing (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cancer Research (244 citations), Immunology (271 citations), Oncology (209 citations), Molecular Biology (443 citations) and Aging (11 citations). Lingchen Fu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Dingzhi Wang, Raymond N. DuBois, Lan V. Pham, R. Ford, Lixia Guo, Michael S. Kilberg, Yen-Chiu Lin-Lee, Mukundh Balasubramanian, Linda C. Yoshimura and Jixiu Shan. Their work appears in journals such as Blood, Journal of Biological Chemistry, Advances in Nutrition, The International Journal of Developmental Biology and Gastroenterology.

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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