He Fu

981 citations
19 papers · 717 · h-index 11

Impact in

  • Oceanography top 10%
    • Marine and coastal ecosystems
  • Ecology top 10%
    • Microbial Community Ecology and Physiology

Papers in

    • Plant Reproductive Biology 4
    • Plant Gene Expression Analysis 3
    • Protist diversity and phylogeny 2
    • Microbial Community Ecology and Physiology 6

He Fu

19 papers receiving 712 citations

Peers

He Fu
Comparison fields: 5 of 72
  • Oceanography 113
  • Ecology 223
  • Plant Science 265
  • Pollution 73
  • Molecular Biology 361
Replace Aiyou Huang with:
Aiyou Huang China
Lilach Iasur‐Kruh Israel
Chang Jae Choi United States
Hjördis Czesnick Germany
Laurent Urios France
Suguru Okunishi Japan
Xueqian Lei China
Ye Liang China
Charlotte I. Carlström United States
Rakhee Khandeparker India
He Fu relative to Aiyou Huang China Aiyou Huang's profile →
Citations per field
00.5×4.3×
Aiyou Huang · 1×
Citations per year

Countries citing papers authored by He Fu

Since Specialization
Citations

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

Fields of papers citing papers by He Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2019141
2 2018125
3 2018101
4 202091
5 202272
6 201534
7 201929
8 202328
9 201122
10 200921
11 201612
12 201210
13 20207
14 20137
15 20246
16 20196
17 20253
18
The advance in research methods for large-scale protein-protein interactions
20061
19
Karyotype of Spermophilus alaschanicus
20091

About He Fu

He Fu is a scholar working on Molecular Biology, Ecology, Plant Science, Pollution and Oceanography, having authored 19 papers that have together received 717 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (6 papers), Plant Molecular Biology Research (5 papers), Plant Reproductive Biology (4 papers), Organic Electronics and Photovoltaics (3 papers), Plant Gene Expression Analysis (3 papers), Conducting polymers and applications (3 papers), Plant Stress Responses and Tolerance (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Oceanography (113 citations), Ecology (223 citations), Plant Science (265 citations), Pollution (73 citations) and Molecular Biology (361 citations). He Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mary Ann Moran, Yun Shen, Keming Luo, Mario Uchimiya, Changzheng Xu, Xiaokang Fu, Jeff Gore, William W. Metcalf, Chaofeng Li and Wanxiang Lu. Their work appears in journals such as Journal of Bacteriology, New Phytologist, Solar Energy Materials and Solar Cells, Journal of Physics D Applied Physics and Frontiers in Plant Science.

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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