Feng Han

3.2k citations
83 papers · 2.6k · h-index 32

Impact in

Papers in

    • Polyamine Metabolism and Applications 9
    • Glycosylation and Glycoproteins Research 8
    • Protein Hydrolysis and Bioactive Peptides 6
    • Bacterial biofilms and quorum sensing 5
    • Enzyme Production and Characterization 28

Feng Han

78 papers receiving 2.6k citations

Peers

Feng Han
Comparison fields: 5 of 113
  • Aquatic Science 746
  • Biotechnology 582
  • Plant Science 754
  • Molecular Biology 1.2k
  • Microbiology 98
Replace Akihito Ochiai with:
Akihito Ochiai Japan
In‐Soo Kong South Korea
Alexandre Holanda Sampaio Brazil
Hailun He China
Lalitha R. Gowda India
Celso Shiniti Nagano Brazil
Hemalatha Golaconda Ramulu France
Di Fan China
Soon‐Kwang Hong South Korea
Young‐Sang Koh South Korea
Feng Han relative to Akihito Ochiai Japan Akihito Ochiai's profile →
Citations per field
00.5×3.0×
Akihito Ochiai · 1×
Citations per year

Countries citing papers authored by Feng Han

Since Specialization
Citations

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

Fields of papers citing papers by Feng Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010182
2 2006167
3 2003153
4 2011137
5 2020108
6 2017103
7 200682
8 199679
9 199974
10 200869
11 201159
12 201859
13 201154
14 201553
15 201553
16 201553
17 201250
18 201947
19 200645
20 200745

About Feng Han

Feng Han is a scholar working on Molecular Biology, Biotechnology, Aquatic Science, Plant Science and Cell Biology, having authored 83 papers that have together received 2.6k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (28 papers), Seaweed-derived Bioactive Compounds (27 papers), Proteoglycans and glycosaminoglycans research (13 papers), Polysaccharides and Plant Cell Walls (11 papers), Polyamine Metabolism and Applications (9 papers), Glycosylation and Glycoproteins Research (8 papers), Protein Hydrolysis and Bioactive Peptides (6 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Aquatic Science (746 citations), Biotechnology (582 citations), Plant Science (754 citations), Molecular Biology (1.2k citations) and Microbiology (98 citations). Feng Han has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Wengong Yu, Xinzhi Lu, Jingbao Li, Yuchao Gu, S. E. Ullrich, Yulong Tan, I. Romagosa, Su Ma, Wengong Yu and Qianhong Gong. Their work appears in journals such as Marine Drugs, Crop Science, International Journal of Biological Macromolecules, Biotechnology Letters and Carbohydrate Polymers.

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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