Lu Lv

37 papers receiving 579 citations

Peers

Lu Lv
Comparison fields: 5 of 82
  • Agronomy and Crop Science 98
  • Cancer Research 127
  • Infectious Diseases 108
  • Animal Science and Zoology 48
  • Ecology, Evolution, Behavior and Systematics 78
Replace Yuzo Nagai with:
Yuzo Nagai Japan
Gema Gómez‐Mariano Spain
Nathaniel S. Linde United States
Chenfei He China
Jing Qian China
Zhi-Sheng Xu China
Eun‐Hye Bae South Korea
Rahul Singh Arya India
Patrizia Di Marco Italy
Rodrigo Haddad Brazil
Lu Lv relative to Yuzo Nagai Japan Yuzo Nagai's profile →
Citations per field
00.5×1.5×2.2×
Yuzo Nagai · 1×
Citations per year

Countries citing papers authored by Lu Lv

Since Specialization
Citations

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

Fields of papers citing papers by Lu Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011126
2 201662
3 202230
4 202030
5 201329
6 202326
7 201921
8 202221
9
Occurrence and variations of five classes of antibiotic resistance genes along the Jiulong River in southeast China.
201320
10 201920
11 202318
12 201716
13 202016
14 202115
15 202214
16 202113
17 202213
18
Establishment and identification of human primary lung cancer cell culture in vitro.
201513
19 202112
20 201810

About Lu Lv

Lu Lv is a scholar working on Molecular Biology, Surgery, Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology, having authored 37 papers that have together received 591 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (6 papers), Vector-Borne Animal Diseases (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Mesenchymal stem cell research (4 papers), Animal Virus Infections Studies (4 papers), Plant Virus Research Studies (4 papers), Viral Infections and Immunology Research (4 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Agronomy and Crop Science (98 citations), Cancer Research (127 citations), Infectious Diseases (108 citations), Animal Science and Zoology (48 citations) and Ecology, Evolution, Behavior and Systematics (78 citations). Lu Lv has collaborated with scholars based in China, Sweden and Maldives. Frequent co-authors include Weidong Hu, Leiliang Zhang, Xuejiao Zhang, Jianmin Wu, Gang Wu, Yong-Feng Ren, Guiling Li, Zhong Sheng Sun, Kai‐Fu Tang and Xincheng Lu. Their work appears in journals such as Journal of Cellular Biochemistry, Frontiers in Microbiology, Veterinary Microbiology, Journal of Medical Virology and Virus Genes.

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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