Shengli Xia

5.2k citations
46 papers · 1.3k · h-index 19

Impact in

Papers in

Shengli Xia

44 papers receiving 1.3k citations

Peers

Shengli Xia
Comparison fields: 5 of 79
  • Molecular Medicine 486
  • Endocrinology 449
  • Food Science 451
  • Infectious Diseases 290
  • Pollution 137
Replace Martine Boulianne with:
Martine Boulianne Canada
Wanderley Dias da Silveira Brazil
Juliana Pfrimer Falcão Brazil
Ingo Stock Germany
Charlene R. Hudson United States
Cesar A. Morales United States
Rikke Heidemann Olsen Denmark
Stefano Pongolini Italy
Stuart Price United States
Stephan G. Thayer United States
Shengli Xia relative to Martine Boulianne Canada Martine Boulianne's profile →
Citations per field
00.5×1.5×2.2×
Martine Boulianne · 1×
Citations per year

Countries citing papers authored by Shengli Xia

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008369
2 2008100
3 201676
4 201266
5 201052
6 200952
7 200852
8 201144
9 201343
10 201242
11 201242
12 201542
13 201036
14 202033
15 201230
16 202028
17 201527
18 201025
19 201923
20 200516

About Shengli Xia

Shengli Xia is a scholar working on Infectious Diseases, Food Science, Endocrinology, Epidemiology and Molecular Biology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (14 papers), Salmonella and Campylobacter epidemiology (12 papers), Escherichia coli research studies (10 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Bacteriophages and microbial interactions (5 papers), Influenza Virus Research Studies (4 papers), Zoonotic diseases and public health (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Molecular Medicine (486 citations), Endocrinology (449 citations), Food Science (451 citations), Infectious Diseases (290 citations) and Pollution (137 citations). Shengli Xia has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Frank M. Aarestrup, Lina Cavaco, Henrik Hasman, Huaiqi Jing, Jianguo Xu, Dong Jin, Lu Ran, Zhigang Cui, Zhiqiang Xie and Ruiting Lan. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology, Human Vaccines & Immunotherapeutics, Antimicrobial Agents and Chemotherapy and Clinical Microbiology and Infection.

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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