Lan Hu

1.8k citations
33 papers · 1.4k · h-index 20

Impact in

    • Enterobacteriaceae and Cronobacter Research
    • Vibrio bacteria research studies
    • Escherichia coli research studies
    • Salmonella and Campylobacter epidemiology

Papers in

    • Enterobacteriaceae and Cronobacter Research 8
    • Escherichia coli research studies 3
    • Vibrio bacteria research studies 3
    • Salmonella and Campylobacter epidemiology 11

Lan Hu

31 papers receiving 1.3k citations

Peers

Lan Hu
Comparison fields: 5 of 110
  • Endocrinology 505
  • Food Science 534
  • Infectious Diseases 424
  • Biotechnology 101
  • Small Animals 78
Replace Hiroshi Asakura with:
Hiroshi Asakura Japan
Martin Handfield United States
Majella Maher Ireland
John D. Gillece United States
Massimiliano Orsini Italy
Alexandra Sittka Germany
Janet Pruckler United States
Jeremy M. Wells United Kingdom
Hao Chung The Vietnam
Enrique Freer Costa Rica
Lan Hu relative to Hiroshi Asakura Japan Hiroshi Asakura's profile →
Citations per field
00.5×1.5×
Hiroshi Asakura · 1×
Citations per year

Countries citing papers authored by Lan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000165
2 1999127
3 2000112
4 2002109
5 199582
6 200672
7 201167
8 201365
9 201160
10 200159
11 201246
12 200344
13 201543
14 200842
15 200541
16 200535
17 198931
18 198830
19 201325
20 201424

About Lan Hu

Lan Hu is a scholar working on Endocrinology, Food Science, Infectious Diseases, Molecular Biology and Biotechnology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (11 papers), Viral gastroenteritis research and epidemiology (9 papers), Enterobacteriaceae and Cronobacter Research (8 papers), Animal Virus Infections Studies (3 papers), Escherichia coli research studies (3 papers), Listeria monocytogenes in Food Safety (3 papers), Vibrio bacteria research studies (3 papers) and Impact of AI and Big Data on Business and Society (2 papers). The work is most often cited by research in Endocrinology (505 citations), Food Science (534 citations), Infectious Diseases (424 citations), Biotechnology (101 citations) and Small Animals (78 citations). Lan Hu has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Dennis J. Kopecko, Ben D. Tall, Thomas E. Hickey, Allen T. Phillips, Karen G. Jarvis, William D. Swaim, John O. Cisar, Xiao-Zhe Huang, John F. Thompson and William R. Schwan. Their work appears in journals such as Infection and Immunity, Scientific Reports, Journal of Bacteriology, Microbiology and Applied and Environmental 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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