LV Jun

470 citations
27 papers · 343 · h-index 10

Impact in

Papers in

LV Jun

24 papers receiving 341 citations

Peers

LV Jun
Comparison fields: 5 of 80
  • Biotechnology 100
  • Endocrinology 28
  • Pharmacology 41
  • General Dentistry 7
  • Pharmacology 64
Replace Ching-Wan Lam with:
Ching-Wan Lam Hong Kong
Shiran Mohd Sidik Malaysia
Raed Albiheyri Saudi Arabia
Majid Alipour Iran
Yalin Shen China
Rosalyn Casey United Kingdom
Devarshi Gajjar India
Musa Marimani South Africa
Rongli Piao China
Esmat Mirabzadeh Iran
LV Jun relative to Ching-Wan Lam Hong Kong Ching-Wan Lam's profile →
Citations per field
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Ching-Wan Lam · 1×
Citations per year

Countries citing papers authored by LV Jun

Since Specialization
Citations

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

Fields of papers citing papers by LV Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201771
2 201853
3 202046
4 201840
5 202034
6 202024
7 202024
8 20229
9 20239
10 20239
11 20213
12 20243
13 20242
14
Study on Uptake and Accumulation of Pb,Cd and Cu in Tea Plant
20112
15
Analysis of Factors Influencing the Pregnant and Maternal Care of the Migrant Women
20062
16
Study on the Performance of Biodegradable Film and Its Influence on Cotton Yield
20192
17
The Situation of Health Care for Pregnant and Confinement Women in Migrant Population
20062
18
Epidemiological investigation and analysis of risk factors of functional constipation in children and adolescents
20121
19
Development of an Embedded System for Spring-load Test and Control
20061
20
Philology Analysis and Enlightens of Eco-Travel Research in China
20061

About LV Jun

LV Jun is a scholar working on Molecular Biology, Ecology, Biotechnology, Infectious Diseases and Endocrinology, having authored 27 papers that have together received 343 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Aquaculture Nutrition and Growth (2 papers), Salmonella and Campylobacter epidemiology (2 papers), SARS-CoV-2 detection and testing (2 papers), Fungal Biology and Applications (2 papers), Escherichia coli research studies (2 papers), Microbial Metabolism and Applications (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Biotechnology (100 citations), Endocrinology (28 citations), Pharmacology (41 citations), General Dentistry (7 citations) and Pharmacology (64 citations). LV Jun has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Shan Li, Gan‐Rong Xu, Chan Zhang, Jin Yang, Bo‐Bo Zhang, Xing Pan, Juan Xue, Ping Zhu, Lei Chen and Peter Chi Keung Cheung. Their work appears in journals such as Communications Biology, Food Bioscience, Environmental Science and Pollution Research, Water and Medicine.

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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