Feng Chi

2.1k citations
56 papers · 1.5k indexed · h-index 21

Impact in

    • Plant-Microbe Interactions and Immunity
    • Legume Nitrogen Fixing Symbiosis
    • Nematode management and characterization studies

Papers in

Feng Chi

51 papers receiving 1.5k citations

Peers

Feng Chi
Comparison fields: 5 of 135
  • Microbiology 80
  • Plant Science 461
  • Endocrinology 60
  • Hepatology 78
  • Neurology 74
Replace Brian A. Zakrajsek with:
Brian A. Zakrajsek United States
Thomas Danhorn United States
Jean‐William Dupuy France
Sujin Park South Korea
Marc Bonneu France
Dongsheng Li China
Katherine R. Parzych United States
Jingjing Zhou China
Steffen Ohlmeier Finland
Yani Zhang China
Feng Chi relative to Brian A. Zakrajsek United States Brian A. Zakrajsek's profile →
Citations per field
00.5×4.8×
Brian A. Zakrajsek · 1×
Citations per year

Countries citing papers authored by Feng Chi

Since Specialization
Citations

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

Fields of papers citing papers by Feng Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20250
3 20251
4 20253
5 20250
6 20251
7 20240
8 20247
9 202413
10 202328
11 202314
12 202215
13
Systematic Errors in Steady-state Measurements on the Thermal Conductivities of Insulation Materials
20162
14 2015189
15 201520
16 201521
17 20121
18 201157
19 200920
20 200714

About Feng Chi

Feng Chi is a scholar working on Microbiology, Biotechnology, Endocrinology, Epidemiology and Molecular Biology, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Bacterial Genetics and Biotechnology (5 papers), Acute Ischemic Stroke Management (4 papers), Building Energy and Comfort Optimization (3 papers), Antimicrobial Peptides and Activities (3 papers), Receptor Mechanisms and Signaling (3 papers) and Urban Heat Island Mitigation (3 papers). The work is most often cited by research in Microbiology (80 citations), Plant Science (461 citations), Endocrinology (60 citations), Hepatology (78 citations) and Neurology (74 citations). Feng Chi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuxiang Jing, Frank B. Dazzo, Y. G. Yanni, Sheng‐He Huang, Hidekazu Tsukamoto, Chunhua Wu, Jun Xu, Samuel W. French, Ambrose Jong and Vasu Punj. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, Future Microbiology, Microbial Cell Factories and Medical Physics.

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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