Xing‐Ping Li

1.5k citations
53 papers · 1.2k · h-index 17

Impact in

    • Antibiotic Resistance in Bacteria
    • Enterobacteriaceae and Cronobacter Research
    • Escherichia coli research studies

Papers in

    • Antibiotic Resistance in Bacteria 25
    • Enterobacteriaceae and Cronobacter Research 8
    • Escherichia coli research studies 4

Xing‐Ping Li

50 papers receiving 1.2k citations

Peers

Xing‐Ping Li
Comparison fields: 5 of 85
  • Molecular Medicine 859
  • Endocrinology 317
  • Pollution 412
  • Food Science 245
  • Applied Microbiology and Biotechnology 16
Replace Runshi Yang with:
Runshi Yang China
Étienne Giraud France
Thomas Jové France
Sara Domingues Portugal
Vanesa García Spain
Christopher J. Harmer Australia
Fernando Corona Spain
Lianwei Ye Hong Kong
Qidi Zhang China
Xing‐Ping Li relative to Runshi Yang China Runshi Yang's profile →
Citations per field
00.5×1.5×2×
Runshi Yang · 1×
Citations per year

Countries citing papers authored by Xing‐Ping Li

Since Specialization
Citations

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

Fields of papers citing papers by Xing‐Ping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xing‐Ping Li. 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 Xing‐Ping Li. The network helps show where Xing‐Ping Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016154
2 2017117
3 2020110
4 201796
5 201679
6 201778
7 201661
8 201843
9 202041
10 201940
11 201735
12 201932
13 201731
14 201826
15 201722
16 202121
17 201818
18 201517
19 202216
20 201815

About Xing‐Ping Li

Xing‐Ping Li is a scholar working on Molecular Medicine, Endocrinology, Pollution, Pharmacology and Genetics, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (25 papers), Enterobacteriaceae and Cronobacter Research (8 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Bacterial Genetics and Biotechnology (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Escherichia coli research studies (4 papers), Salmonella and Campylobacter epidemiology (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Molecular Medicine (859 citations), Endocrinology (317 citations), Pollution (412 citations), Food Science (245 citations) and Applied Microbiology and Biotechnology (16 citations). Xing‐Ping Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Ge Sun, Xiao‐Ping Liao, Liang‐Xing Fang, Youjun Feng, Yahong Liu, Ya-Hong Liu, Shumin Li, Liang Li, Runshi Yang and Jingxia Lin. Their work appears in journals such as Poultry Science, Antimicrobial Agents and Chemotherapy, International Journal of Antimicrobial Agents, Frontiers in Microbiology and Scientific Reports.

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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