Xiaolu Shi

1.3k citations
66 papers · 796 · h-index 16

Impact in

Papers in

    • Salmonella and Campylobacter epidemiology 26
    • Vibrio bacteria research studies 17
    • Escherichia coli research studies 7

Xiaolu Shi

58 papers receiving 778 citations

Peers

Xiaolu Shi
Comparison fields: 5 of 86
  • Endocrinology 287
  • Molecular Medicine 162
  • Food Science 347
  • Infectious Diseases 215
  • Biotechnology 94
Replace Qiuchun Li with:
Qiuchun Li China
Shizhong Geng China
Marcelo Palma Sircili Brazil
Haoqiu Wang China
Mark Reuter United Kingdom
Renato Pariz Maluta Brazil
Eva Litrup Denmark
Heba A. Ahmed Egypt
Yizhi Tang China
Traute Janßen Germany
Xiaolu Shi relative to Qiuchun Li China Qiuchun Li's profile →
Citations per field
00.5×3.4×
Qiuchun Li · 1×
Citations per year

Countries citing papers authored by Xiaolu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201283
2 201470
3 200868
4 200746
5 201945
6 202236
7 202033
8 201730
9 201427
10 202424
11 201324
12 201521
13 201620
14 201716
15 201616
16 201616
17 201615
18 201413
19 201712
20 202312

About Xiaolu Shi

Xiaolu Shi is a scholar working on Food Science, Endocrinology, Infectious Diseases, Molecular Biology and Ecology, having authored 66 papers that have together received 796 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (26 papers), Vibrio bacteria research studies (17 papers), Bacteriophages and microbial interactions (11 papers), Viral gastroenteritis research and epidemiology (10 papers), Escherichia coli research studies (7 papers), Antibiotic Resistance in Bacteria (7 papers), Aquaculture disease management and microbiota (6 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Endocrinology (287 citations), Molecular Medicine (162 citations), Food Science (347 citations), Infectious Diseases (215 citations) and Biotechnology (94 citations). Xiaolu Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yiman Lin, Qinghua Hu, Yaqun Qiu, Qiongcheng Chen, Qinghua Hu, Yinghui Li, Yixiang Jiang, Chao Yang, Zhigang Cui and Min Jiang. Their work appears in journals such as Annals of Clinical Microbiology and Antimicrobials, Frontiers in Microbiology, Foodborne Pathogens and Disease, Journal of Clinical Microbiology and Current Opinion in Insect Science.

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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