Minyi Gu

1.3k citations
17 papers · 1.1k · h-index 13

Impact in

Papers in

    • Protein Structure and Dynamics 2
    • Biochemical and Molecular Research 2
    • RNA and protein synthesis mechanisms 2
    • Bacterial Genetics and Biotechnology 3

Minyi Gu

16 papers receiving 1.1k citations

Peers

Minyi Gu
Comparison fields: 5 of 93
  • Molecular Biology 797
  • Immunology and Allergy 66
  • Endocrinology 37
  • Genetics 187
  • Molecular Medicine 31
Replace Michael D. Scholle with:
Michael D. Scholle United States
Bettina Zanolari Switzerland
Kathleen S. Molnar United States
Ingo P. Korndörfer Germany
Edoardo Sarubbi Italy
Tibisay Guevara Spain
Rosemarie Raffen United States
A.F. Moon United States
Calliope Capon France
John E. Mott United States
Minyi Gu relative to Michael D. Scholle United States Michael D. Scholle's profile →
Citations per field
00.5×3.5×
Michael D. Scholle · 1×
Citations per year

Countries citing papers authored by Minyi Gu

Since Specialization
Citations

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

Fields of papers citing papers by Minyi Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002466
2 2002126
3 2011125
4 201856
5 199454
6 201535
7 201034
8 200934
9 201533
10 202032
11 200729
12 201221
13 202313
14 20235
15 20065
16 20241
17 20240

About Minyi Gu

Minyi Gu is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Ecology and Epidemiology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers), Cell Adhesion Molecules Research (2 papers), Protein Structure and Dynamics (2 papers), Biochemical and Molecular Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Molecular Biology (797 citations), Immunology and Allergy (66 citations), Endocrinology (37 citations), Genetics (187 citations) and Molecular Medicine (31 citations). Minyi Gu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Mark I. Donnelly, Lucy Stols, F. Collart, Lynda Dieckman, Rosemarie Raffen, A. Joachimiak, Youngchang Kim, Xiaoping Du, G. Babnigg and M. Makowska-Grzyska. Their work appears in journals such as Journal of Biological Chemistry, Protein Expression and Purification, Blood, Journal of Structural Biology and Journal of Bacteriology.

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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