Liang Yan

834 citations
25 papers · 600 · h-index 12

Impact in

Papers in

Liang Yan

24 papers receiving 592 citations

Peers

Liang Yan
Comparison fields: 5 of 85
  • Aquatic Science 56
  • Endocrinology 34
  • Pollution 75
  • Plant Science 206
  • Immunology 114
Replace Elba Verônica Matoso Maciel de Carvalho with:
Elba Verônica Matoso Maciel de Carvalho Brazil
In‐Cheol Yeo South Korea
José A. Gutiérrez‐Barranquero Spain
Michelle Zibetti Tadra‐Sfeir Brazil
Jae Sung Jung South Korea
Mirna Mrkonjić Fuka Croatia
Saowanit Tongpim Thailand
Khairiah Mubarak Alwutayd Saudi Arabia
Pengfei Jin China
Liang Yan relative to Elba Verônica Matoso Maciel de Carvalho Brazil Elba Verônica Matoso Maciel de Carvalho's profile →
Citations per field
00.5×2.6×
Elba Verônica Matoso Maciel de Carvalho · 1×
Citations per year

Countries citing papers authored by Liang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Liang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015196
2 201956
3 201450
4 201546
5 202235
6 200933
7 201931
8 201623
9 201219
10 202019
11 202019
12 201915
13 201411
14 20168
15 20227
16 20216
17 20176
18 20135
19 20234
20 20154

About Liang Yan

Liang Yan is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Immunology, Food Science and Pollution, having authored 25 papers that have together received 600 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (5 papers), Bacterial biofilms and quorum sensing (3 papers), Toxic Organic Pollutants Impact (3 papers), Oral microbiology and periodontitis research (3 papers), Gut microbiota and health (3 papers), Probiotics and Fermented Foods (2 papers), Genomics and Phylogenetic Studies (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Aquatic Science (56 citations), Endocrinology (34 citations), Pollution (75 citations), Plant Science (206 citations) and Immunology (114 citations). Liang Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ka Lai Chow, N.F.Y. Tam, Yu Bon Man, Ming Hung Wong, Shengbiao Hu, Liqiu Xia, Xiao Ma, Xuanjun Wang, Shumei Hao and Yang Tian. Their work appears in journals such as Water Air & Soil Pollution, Applied Microbiology and Biotechnology, Microbial Pathogenesis, Health Information Science and Systems and Molecular Plant.

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.

Explore authors with similar magnitude of impact