Yan Long

1.7k citations
47 papers · 1.4k · h-index 20

Impact in

    • Lipid metabolism and biosynthesis
  • Pollution top 5%
    • Microbial bioremediation and biosurfactants

Papers in

Yan Long

45 papers receiving 1.4k citations

Peers

Yan Long
Comparison fields: 5 of 100
  • Biochemistry 238
  • Pollution 268
  • Plant Science 577
  • Environmental Chemistry 132
  • Genetics 328
Replace Chunyun Guan with:
Chunyun Guan China
Xiaohua Yao China
John C. Willison France
Rubén Rellán‐Álvarez Spain
Danilo Pérez‐Pantoja Chile
Víctor M. Luque‐Almagro Spain
Purificación Cabello Spain
John Danku United Kingdom
Ho‐Sung Yoon South Korea
Fangsen Xu China
Yan Long relative to Chunyun Guan China Chunyun Guan's profile →
Citations per field
00.5×2.9×
Chunyun Guan · 1×
Citations per year

Countries citing papers authored by Yan Long

Since Specialization
Citations

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

Fields of papers citing papers by Yan Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009293
2 2007179
3 201373
4 202069
5 201764
6 201160
7 201846
8 201640
9 201934
10 201633
11 201632
12 201630
13 201828
14 201928
15 201427
16 201926
17 201025
18 201525
19 201625
20 201619

About Yan Long

Yan Long is a scholar working on Molecular Biology, Pollution, Plant Science, Genetics and Health, Toxicology and Mutagenesis, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Microbial bioremediation and biosurfactants (6 papers), Methane Hydrates and Related Phenomena (6 papers), Genetics and Plant Breeding (5 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Toxic Organic Pollutants Impact (4 papers), Marine Biology and Environmental Chemistry (4 papers) and Wastewater Treatment and Nitrogen Removal (4 papers). The work is most often cited by research in Biochemistry (238 citations), Pollution (268 citations), Plant Science (577 citations), Environmental Chemistry (132 citations) and Genetics (328 citations). Yan Long has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiaqin Shi, Jinshao Ye, Jinling Meng, Dan Qiu, Ruiyuan Li, Congcong Jiang, Huaming Qin, Ian Bancroft, Jianyi Zhao and Colin Morgan. Their work appears in journals such as The Science of The Total Environment, Ecotoxicology and Environmental Safety, Scientific Reports, Journal of Hazardous Materials and Genetics.

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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