Jingmin Gu

4.0k citations
106 papers · 2.7k · h-index 30

Impact in

Papers in

    • Bacteriophages and microbial interactions 59
    • Genomics and Phylogenetic Studies 15
    • RNA and protein synthesis mechanisms 10

Jingmin Gu

104 papers receiving 2.6k citations

Peers

Jingmin Gu
Comparison fields: 5 of 123
  • Microbiology 832
  • Molecular Medicine 322
  • Ecology 1.6k
  • Endocrinology 167
  • Infectious Diseases 362
Replace Wenyu Han with:
Wenyu Han China
Liancheng Lei China
Breck A. Duerkop United States
Xiangan Han China
Siguo Liu China
Rosanna Capparelli Italy
Aizhen Guo China
Catherine Rees United Kingdom
Bernhard Krismer Germany
Karl G. Wooldridge United Kingdom
Jingmin Gu relative to Wenyu Han China Wenyu Han's profile →
Citations per field
00.5×1.5×
Wenyu Han · 1×
Citations per year

Countries citing papers authored by Jingmin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jingmin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012224
2 2016134
3 2010133
4 2015101
5 201484
6 201777
7 201761
8 201657
9 201956
10 201753
11 201652
12 201750
13 201549
14 202046
15 201146
16 202146
17 201844
18 201643
19 201842
20 201841

About Jingmin Gu

Jingmin Gu is a scholar working on Ecology, Molecular Biology, Microbiology, Infectious Diseases and Epidemiology, having authored 106 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (59 papers), Microbial infections and disease research (35 papers), Genomics and Phylogenetic Studies (15 papers), Bacterial Genetics and Biotechnology (11 papers), Antibiotic Resistance in Bacteria (10 papers), RNA and protein synthesis mechanisms (10 papers), Streptococcal Infections and Treatments (9 papers) and Antimicrobial Peptides and Activities (8 papers). The work is most often cited by research in Microbiology (832 citations), Molecular Medicine (322 citations), Ecology (1.6k citations), Endocrinology (167 citations) and Infectious Diseases (362 citations). Jingmin Gu has collaborated with scholars based in China, United Kingdom and Pakistan. Frequent co-authors include Wenyu Han, Liancheng Lei, Changjiang Sun, Xin Feng, Xinwei Li, Zhimin Guo, Chongtao Du, Yongjun Yang, Mengjun Cheng and Jun Song. Their work appears in journals such as Frontiers in Microbiology, Veterinary Microbiology, Applied and Environmental Microbiology, Antonie van Leeuwenhoek and Microbial Pathogenesis.

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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