Longgui Chen

772 citations
15 papers · 597 · h-index 8

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
  • Epidemiology top 10%
    • Autophagy in Disease and Therapy

Papers in

    • Epigenetics and DNA Methylation 2
    • Cell death mechanisms and regulation 2
    • Extracellular vesicles in disease 2
    • Autophagy in Disease and Therapy 6

Longgui Chen

13 papers receiving 592 citations

Peers

Longgui Chen
Comparison fields: 5 of 66
  • Physiology 66
  • Epidemiology 310
  • Cell Biology 143
  • Cancer Research 89
  • Hematology 46
Replace Melat T. Gebru with:
Melat T. Gebru United States
Daniel Brigger Switzerland
Christian Wrocklage Germany
Carson A. Wills United States
Michael Ewing United States
Caisheng Lu United States
Kristina B. Kruse United States
Ida Eriksson Sweden
Laurence Durand France
Marielle Boonen Belgium
Longgui Chen relative to Melat T. Gebru United States Melat T. Gebru's profile →
Citations per field
00.5×
Melat T. Gebru · 1×
Citations per year

Countries citing papers authored by Longgui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Longgui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018277
2 201861
3 202056
4 202053
5 201652
6 202238
7 202025
8 202023
9 20244
10 20234
11 20252
12 20241
13 20231
14 20250
15 20160

About Longgui Chen

Longgui Chen is a scholar working on Molecular Biology, Epidemiology, Neurology, Hematology and Cell Biology, having authored 15 papers that have together received 597 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Neuroblastoma Research and Treatments (4 papers), Acute Myeloid Leukemia Research (3 papers), Cellular transport and secretion (3 papers), Epigenetics and DNA Methylation (2 papers), Cell death mechanisms and regulation (2 papers), Extracellular vesicles in disease (2 papers) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Physiology (66 citations), Epidemiology (310 citations), Cell Biology (143 citations), Cancer Research (89 citations) and Hematology (46 citations). Longgui Chen has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Hong‐Gang Wang, Carson A. Wills, Jennifer M. Atkinson, Melat T. Gebru, Megan M. Young, Zhenyuan Tang, Yoshinori Takahashi, Tatsuya Hattori, Thomas Abraham and Ying Liu. Their work appears in journals such as Cancer Research, Cell Death and Disease, Biomedicines, Cell Death and Differentiation and Cell Reports.

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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