Fu Gui

1.3k citations
34 papers · 964 · h-index 17

Impact in

Papers in

    • PARP inhibition in cancer therapy 5
    • Pancreatic and Hepatic Oncology Research 2
    • DNA Repair Mechanisms 3

Fu Gui

32 papers receiving 952 citations

Peers

Fu Gui
Comparison fields: 5 of 103
  • Biological Psychiatry 53
  • Ophthalmology 74
  • Oncology 215
  • Cancer Research 79
  • Molecular Biology 354
Replace Hong Yu Fu with:
Hong Yu Fu China
Li Cai China
Qian Ma China
Madhur Agrawal United States
Isabella Coletta Italy
Lucia Longhitano Italy
Zhi Qiang Song China
Allen S. W. Oak United States
Fu Gui relative to Hong Yu Fu China Hong Yu Fu's profile →
Citations per field
00.5×2×2.7×
Hong Yu Fu · 1×
Citations per year

Countries citing papers authored by Fu Gui

Since Specialization
Citations

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

Fields of papers citing papers by Fu Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020146
2 2020107
3 201990
4 202388
5 202259
6 201957
7 201938
8 201338
9 201936
10 201634
11 202234
12 201929
13 201528
14 202128
15 201624
16 201920
17 202218
18
LACTB induced apoptosis of oxaliplatin-resistant gastric cancer through regulating autophagy-mediated mitochondrial apoptosis pathway.
202117
19 202015
20 202110

About Fu Gui

Fu Gui is a scholar working on Oncology, Molecular Biology, Ophthalmology, Pharmacology and Epidemiology, having authored 34 papers that have together received 964 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (5 papers), Fungal Biology and Applications (3 papers), Pancreatitis Pathology and Treatment (3 papers), Pancreatic function and diabetes (3 papers), DNA Repair Mechanisms (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Autophagy in Disease and Therapy (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Biological Psychiatry (53 citations), Ophthalmology (74 citations), Oncology (215 citations), Cancer Research (79 citations) and Molecular Biology (354 citations). Fu Gui has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhipeng You, Hongxi Wu, Yulan Zhang, Shuhua Fu, Tomoaki Takai, Adam Stuart Kibel, Jia Li, Zhengdong Hong, Xuefeng Yang and Yan Li. Their work appears in journals such as Science Advances, Nature Metabolism, EMBO Molecular Medicine, JCI Insight and American Journal of Tropical Medicine and Hygiene.

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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