Ji Yang

2.7k citations
67 papers · 2.1k indexed · h-index 27

Impact in

Papers in

    • Escherichia coli research studies 18
    • Vibrio bacteria research studies 10
    • Enterobacteriaceae and Cronobacter Research 6
    • Antibiotic Resistance in Bacteria 23

Ji Yang

66 papers receiving 2.1k citations

Peers

Ji Yang
Comparison fields: 5 of 114
  • Endocrinology 720
  • Molecular Medicine 629
  • Applied Microbiology and Biotechnology 54
  • Genetics 692
  • Molecular Biology 1.1k
Replace Line Elnif Thomsen with:
Line Elnif Thomsen Denmark
Amy K. Cain Australia
Bram Van den Bergh Belgium
Abigail Clements United Kingdom
Ofer Fridman Israel
J. Eugene LeClerc United States
Niilo Kaldalu Estonia
Marin Vulić United States
Miriam Barlow United States
Edward Geisinger United States
Ji Yang relative to Line Elnif Thomsen Denmark Line Elnif Thomsen's profile →
Citations per field
00.5×1.5×2.0×
Line Elnif Thomsen · 1×
Citations per year

Countries citing papers authored by Ji Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ji Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20245
4 202019
5 201872
6 201826
7 201843
8 201838
9 201744
10 201526
11 201328
12 201324
13 201323
14 201233
15 201216
16 200941
17 200924
18 20063
19 200439
20 200222

About Ji Yang

Ji Yang is a scholar working on Endocrinology, Molecular Medicine, Genetics, Applied Microbiology and Biotechnology and Molecular Biology, having authored 67 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (41 papers), Antibiotic Resistance in Bacteria (23 papers), RNA and protein synthesis mechanisms (20 papers), Escherichia coli research studies (18 papers), Vibrio bacteria research studies (10 papers), Viral gastroenteritis research and epidemiology (7 papers), Enterobacteriaceae and Cronobacter Research (6 papers) and DNA and Nucleic Acid Chemistry (6 papers). The work is most often cited by research in Endocrinology (720 citations), Molecular Medicine (629 citations), Applied Microbiology and Biotechnology (54 citations), Genetics (692 citations) and Molecular Biology (1.1k citations). Ji Yang has collaborated with scholars based in Australia, South Korea and United Kingdom. Frequent co-authors include J Pittard, Roy M. Robins‐Browne, Marija Tauschek, H Camakaris, A J Pittard, Richard A. Strugnell, Dianna M. Hocking, Kwang Jun Lee, Hyukmin Lee and Seok Hoon Jeong. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Infection and Immunity, PLoS ONE and Frontiers in Microbiology.

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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