Yan Long

1.8k citations
48 papers · 1.5k · h-index 20

Impact in

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

Papers in

Yan Long

46 papers receiving 1.4k citations

Peers

Yan Long
Comparison fields: 5 of 97
  • Biochemistry 239
  • Pollution 287
  • Plant Science 575
  • Environmental Chemistry 134
  • Genetics 325
Replace Chunyun Guan with:
Chunyun Guan China
Xiaohua Yao China
John C. Willison France
Yongzhen Xia China
Manuel Carmona Spain
Rubén Rellán‐Álvarez Spain
Purificación Cabello Spain
Danilo Pérez‐Pantoja Chile
Víctor M. Luque‐Almagro Spain
Fangsen Xu China
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Citations per field
00.5×2.8×
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009304
2 2007194
3 201378
4 202075
5 201767
6 201165
7 201848
8 201641
9 201938
10 201634
11 201633
12 201632
13 201829
14 201429
15 201929
16 201928
17 201028
18 201527
19 201625
20 201621

About Yan Long

Yan Long is a scholar working on Molecular Biology, Pollution, Plant Science, Genetics and Health, Toxicology and Mutagenesis, having authored 48 papers that have together received 1.5k 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), Marine Biology and Environmental Chemistry (4 papers), Wastewater Treatment and Nitrogen Removal (4 papers), Hydrocarbon exploration and reservoir analysis (4 papers) and Microbial Community Ecology and Physiology (4 papers). The work is most often cited by research in Biochemistry (239 citations), Pollution (287 citations), Plant Science (575 citations), Environmental Chemistry (134 citations) and Genetics (325 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, Canadian Journal of Microbiology, Genetics and Journal of Hazardous Materials.

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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