Yu Gui

1.6k citations
58 papers · 1.3k · h-index 20

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Nitric Oxide and Endothelin Effects
    • MicroRNA in disease regulation

Papers in

    • RNA Research and Splicing 5
    • Ubiquitin and proteasome pathways 5
    • Protein Degradation and Inhibitors 4
    • Protein Kinase Regulation and GTPase Signaling 4

Yu Gui

57 papers receiving 1.3k citations

Peers

Yu Gui
Comparison fields: 5 of 113
  • Physiology 93
  • Cancer Research 202
  • Biomaterials 188
  • Hematology 118
  • Genetics 98
Replace Roberto Gramignoli with:
Roberto Gramignoli Sweden
Laura Pierdomenico Italy
Weimin Fan China
Norifumi Urao United States
Wei Liang China
Patrizia Nigro Italy
Claus Kordes Germany
Yu Gui relative to Roberto Gramignoli Sweden Roberto Gramignoli's profile →
Citations per field
00.5×2×2.6×
Roberto Gramignoli · 1×
Citations per year

Countries citing papers authored by Yu Gui

Since Specialization
Citations

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

Fields of papers citing papers by Yu Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012196
2 2010117
3 201280
4 199957
5 201755
6 200353
7 200744
8 202040
9 202137
10 201535
11 200534
12 200834
13 201229
14 201029
15 201128
16 200826
17 202325
18 200222
19 200422
20 202321

About Yu Gui

Yu Gui is a scholar working on Cancer Research, Molecular Biology, Physiology, Oncology and Physiology, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), RNA Research and Splicing (5 papers), Ubiquitin and proteasome pathways (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Protein Degradation and Inhibitors (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Adenosine and Purinergic Signaling (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). The work is most often cited by research in Physiology (93 citations), Cancer Research (202 citations), Biomaterials (188 citations), Hematology (118 citations) and Genetics (98 citations). Yu Gui has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Xi‐Long Zheng, Liu Xiong, Morley Donald Hollenberg, Hao Ran Yin, Michael P. Walsh, Rodger Loutzenhiser, Jingjing Li, Zhan Shi, Mahmoud Saifeddine and Yuebing Wang. Their work appears in journals such as Journal of Cellular Physiology, American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Fertility and Sterility and Arteriosclerosis Thrombosis and Vascular Biology.

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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