Yigong Ge

3.1k citations
36 papers · 2.6k indexed · h-index 28

Impact in

Papers in

Yigong Ge

36 papers receiving 2.4k citations

Peers

Yigong Ge
Comparison fields: 5 of 101
  • Molecular Medicine 958
  • Applied Microbiology and Biotechnology 259
  • Microbiology 447
  • Pharmacology 1.0k
  • Infectious Diseases 759
Replace Stephen Rittenhouse with:
Stephen Rittenhouse United States
Bülent Bozdoğan Türkiye
Linda M. Weigel United States
Thomas D. Gootz United States
A. Bryskier France
James A. Retsema United States
C Thornsberry United States
Greg Moeck United States
Jared Silverman United States
Suzanne Chamberland Canada
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Citations per field
00.5×1.7×
Stephen Rittenhouse · 1×
Citations per year

Countries citing papers authored by Yigong Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yigong Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201127
2 201150
3 201092
4 201050
5 200969
6 200942
7 200924
8 200913
9 200980
10 2007112
11 200614
12 200532
13 200542
14 200415
15 200231
16 2000261
17 199992
18 199727
19 199747
20 199617

About Yigong Ge

Yigong Ge is a scholar working on Molecular Medicine, Pharmacology, Infectious Diseases, Microbiology and Clinical Biochemistry, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Antibiotics Pharmacokinetics and Efficacy (16 papers), Antimicrobial Resistance in Staphylococcus (15 papers), Pneumonia and Respiratory Infections (10 papers), Bacterial Identification and Susceptibility Testing (5 papers), Vector-borne infectious diseases (4 papers), Antimicrobial Peptides and Activities (4 papers) and Cystic Fibrosis Research Advances (3 papers). The work is most often cited by research in Molecular Medicine (958 citations), Applied Microbiology and Biotechnology (259 citations), Microbiology (447 citations), Pharmacology (1.0k citations) and Infectious Diseases (759 citations). Yigong Ge has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Shazad Mushtaq, David M. Livermore, George H. Talbot, Michael Zasloff, Kenneth J. Holroyd, Dorothy L. MacDonald, Koné Kaniga, Laura Zamorano, Carlos Juan and Clyde Thornsberry. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry Letters, Diagnostic Microbiology and Infectious Disease, Gene and International Journal of Antimicrobial Agents.

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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