Fenglong Yang

24 papers receiving 583 citations

Peers

Fenglong Yang
Comparison fields: 5 of 102
  • Pollution 134
  • Plant Science 200
  • Biological Psychiatry 12
  • Soil Science 50
  • Health, Toxicology and Mutagenesis 69
Replace Graeme P. Boswell with:
Graeme P. Boswell United Kingdom
Wenli Li China
Wentao Hu China
Bernhard Spangl Austria
J. O. Siqueira Brazil
Dr. Manzar Abbas China
Zeyu Cai China
Dongsheng Chen China
Fenglong Yang relative to Graeme P. Boswell United Kingdom Graeme P. Boswell's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fenglong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fenglong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016124
2 2011102
3 202142
4 201041
5 202130
6 202029
7 202228
8 201227
9 201724
10 202422
11 202019
12 202315
13 202115
14 201915
15 202311
16 202310
17 20249
18
SEQUENCE-RELATED AMPLIFIED POLYMORPHISM(SRAP) FOR STUDYING GENETIC DIVERSITY AND POPULATION STRUCTURE OF PLANTS AND OTHER LIVING ORGANISMS: A PROTOCOL
20147
19 20207
20 20106

About Fenglong Yang

Fenglong Yang is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Plant Science, Molecular Biology and Pharmacology, having authored 24 papers that have together received 595 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (3 papers), Fungal Biology and Applications (3 papers), Microbial bioremediation and biosurfactants (3 papers), Heavy metals in environment (3 papers), Mycorrhizal Fungi and Plant Interactions (3 papers) and Forest Ecology and Biodiversity Studies (2 papers). The work is most often cited by research in Pollution (134 citations), Plant Science (200 citations), Biological Psychiatry (12 citations), Soil Science (50 citations) and Health, Toxicology and Mutagenesis (69 citations). Fenglong Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Quan Zou, Jingping Gai, Peter Christie, X. L. Li, Jinshui Yang, Chunping Deng, John N. Klironomos, Hui Tian, Nan Sang and Lei Xu. Their work appears in journals such as Briefings in Bioinformatics, Frontiers in Microbiology, Pedobiologia, Environmental Pollution and Biology and Fertility of Soils.

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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