Long Wang

1.5k citations
53 papers · 1.0k · h-index 19

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Ecology top 5%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions

Papers in

    • Microbial Community Ecology and Physiology 18
    • Bacteriophages and microbial interactions 9
    • Remote Sensing in Agriculture 3
    • Genomics and Phylogenetic Studies 5

Long Wang

51 papers receiving 1.0k citations

Peers

Long Wang
Comparison fields: 5 of 120
  • Neurology 135
  • Ecology 352
  • Immunology 231
  • Aquatic Science 84
  • Endocrinology 51
Replace Yongjing Guan with:
Yongjing Guan China
Roberta Russo Italy
Masaki Yoshida Japan
Yongming Wu China
Jason T. Magnuson United States
Da Huo China
Jessica I. Lundin United States
Elio Biffali Italy
Shanjie Zha China
David C. Volz United States
Long Wang relative to Yongjing Guan China Yongjing Guan's profile →
Citations per field
00.5×2.6×
Yongjing Guan · 1×
Citations per year

Countries citing papers authored by Long Wang

Since Specialization
Citations

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

Fields of papers citing papers by Long Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020195
2 2017127
3 201486
4 202245
5 201945
6 201644
7 201930
8 201928
9 202127
10 202126
11 201825
12 201625
13 202323
14 202123
15 202222
16 202122
17 201821
18 201620
19 202019
20 202317

About Long Wang

Long Wang is a scholar working on Ecology, Molecular Biology, Environmental Chemistry, Immunology and Global and Planetary Change, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (18 papers), Bacteriophages and microbial interactions (9 papers), Methane Hydrates and Related Phenomena (6 papers), Genomics and Phylogenetic Studies (5 papers), Aquaculture Nutrition and Growth (4 papers), Aquaculture disease management and microbiota (4 papers), Remote Sensing in Agriculture (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Neurology (135 citations), Ecology (352 citations), Immunology (231 citations), Aquatic Science (84 citations) and Endocrinology (51 citations). Long Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yongyu Zhang, Xiao‐Hua Zhang, Lixia Zhang, Yulong Ma, Wugang Hou, Jiwen Liu, Nianzhi Jiao, Min Yu, Yu Mingchao and Zhitao Li. Their work appears in journals such as Frontiers in Microbiology, Biology, Microbiology Spectrum, Spectrochimica Acta Part B Atomic Spectroscopy and Measurement Science and Technology.

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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