Feng Lin

1.4k citations
51 papers · 939 · h-index 16

Impact in

    • Soybean genetics and cultivation
    • Legume Nitrogen Fixing Symbiosis
    • Plant Pathogens and Resistance
    • Plant Disease Resistance and Genetics
    • Plant-Microbe Interactions and Immunity
    • Plant Molecular Biology Research

Papers in

    • Soybean genetics and cultivation 14
    • Plant Disease Resistance and Genetics 13
    • Plant Pathogens and Resistance 11
    • Legume Nitrogen Fixing Symbiosis 9
    • Plant Molecular Biology Research 3
    • Plant Virus Research Studies 3

Feng Lin

49 papers receiving 926 citations

Peers

Feng Lin
Comparison fields: 5 of 90
  • Plant Science 620
  • Hepatology 49
  • Cell Biology 84
  • Ecology, Evolution, Behavior and Systematics 86
  • Agronomy and Crop Science 31
Replace Mu Liu with:
Mu Liu China
Per‐Johan Meijer United States
Jia Fan China
Albert Kriegner Austria
П. М. Рубцов Russia
Kyoji Yamada Japan
Feng Wen China
Ken‐ichi Tsutsumi Japan
Qiming Wang China
Feng Lin relative to Mu Liu China Mu Liu's profile →
Citations per field
00.5×3.5×
Mu Liu · 1×
Citations per year

Countries citing papers authored by Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 202288
3 201372
4 201461
5 202159
6 200646
7 201538
8 200936
9 201635
10 201434
11 202031
12 201930
13 201529
14 201324
15 202018
16 201816
17 202115
18 201113
19 200813
20 202112

About Feng Lin

Feng Lin is a scholar working on Plant Science, Molecular Biology, Epidemiology, Immunology and Oncology, having authored 51 papers that have together received 939 indexed citations. Recurring topics across this work include Soybean genetics and cultivation (14 papers), Plant Disease Resistance and Genetics (13 papers), Plant Pathogens and Resistance (11 papers), Legume Nitrogen Fixing Symbiosis (9 papers), Plant Pathogens and Fungal Diseases (3 papers), Plant Molecular Biology Research (3 papers), Plant Virus Research Studies (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Plant Science (620 citations), Hepatology (49 citations), Cell Biology (84 citations), Ecology, Evolution, Behavior and Systematics (86 citations) and Agronomy and Crop Science (31 citations). Feng Lin has collaborated with scholars based in China, United States and India. Frequent co-authors include Jianxin Ma, Meixia Zhao, Jieqing Ping, Lianjun Sun, Teresa J. Hughes, Biao Zhang, Yunfeng Liu, Zongxiang Tang, Dechun Wang and Yukun Wei. Their work appears in journals such as Theoretical and Applied Genetics, Horticulturae, Molecules, Molecular Breeding and The Plant Genome.

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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