Fei Jin

443 citations
13 papers · 313 · h-index 9

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Ion channel regulation and function 2
    • Ubiquitin and proteasome pathways 1
    • Plant Micronutrient Interactions and Effects 2

Fei Jin

13 papers receiving 310 citations

Peers

Fei Jin
Comparison fields: 5 of 78
  • Ecology, Evolution, Behavior and Systematics 81
  • Nutrition and Dietetics 48
  • Plant Science 107
  • Organic Chemistry 59
  • Physiology 8
Replace Tarja Parkkinen with:
Tarja Parkkinen Finland
Hamidur Rahaman India
Zhili Pang China
Kayode S. Oyedotun Canada
Ji‐Wei Zhang China
Takako Hirano Japan
Tingting Fan China
Maybelle Kho Go Singapore
Philipp Johnen Germany
Kihye Shin South Korea
Fei Jin relative to Tarja Parkkinen Finland Tarja Parkkinen's profile →
Citations per field
00.5×6.5×
Tarja Parkkinen · 1×
Citations per year

Countries citing papers authored by Fei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Fei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202182
2 201766
3 202142
4 202126
5 201623
6 202222
7 202116
8 20239
9
Carbohydrate-binding proteins in cell-matrix interactions.
19949
10 20246
11 20216
12 20243
13 20243

About Fei Jin

Fei Jin is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Nutrition and Dietetics and Organic Chemistry, having authored 13 papers that have together received 313 indexed citations. Recurring topics across this work include Fungal Plant Pathogen Control (4 papers), Magnesium in Health and Disease (3 papers), Plant Micronutrient Interactions and Effects (2 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Ion channel regulation and function (2 papers), Trypanosoma species research and implications (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (81 citations), Nutrition and Dietetics (48 citations), Plant Science (107 citations), Organic Chemistry (59 citations) and Physiology (8 citations). Fei Jin has collaborated with scholars based in China, Japan and Belgium. Frequent co-authors include Motoyuki Hattori, Xiaobin Wang, Min Chen, Yichen Huang, Ling Han, Mengqi Wang, Jian Jiao, Minxuan Sun, H. Takeda and Atsuhiro Tomita. Their work appears in journals such as Nature Communications, Molecular Diversity, Scientific Reports, Journal of Molecular Biology and Journal of Agricultural and Food Chemistry.

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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