Da-Fei Feng

6.2k citations
22 papers · 4.3k indexed · 1 hit paper · h-index 17
Topics
Genomics and Phylogenetic Studies (13 papers)RNA and protein synthesis mechanisms (5 papers)Machine Learning in Bioinformatics (4 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Da-Fei Feng

21 papers receiving 4.1k citations

Hit Papers

Progressive sequence alignment as a prerequisitetto corre...1987202620002013198750010001.5k

Peers

Da-Fei Feng
Comparison fields: 5 of 144
  • Molecular Biology 3.0k
  • Genetics 763
  • Plant Science 754
  • Ecology 473
  • Infectious Diseases 390
Replace W M Fitch with:
W M Fitch United States
Gilbert Deléage France
C. Geourjon France
Lydie Bougueleret Switzerland
Marshall H. Edgell United States
Rainer Fuchs Germany
Jotun Hein United Kingdom
Eugene V. Koonin United States
Tyra G. Wolfsberg United States
Cathal Seoighe Ireland
Da-Fei Feng relative to W M Fitch United States W M Fitch's profile →
Citations per field
00.5×1.5×2.5×
W M Fitch · 1×
Citations per year

Countries citing papers authored by Da-Fei Feng

Since Specialization
Citations

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

Fields of papers citing papers by Da-Fei Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da-Fei Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Da-Fei Feng. A scholar is included among the top collaborators of Da-Fei Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Da-Fei Feng. Da-Fei Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 26
4 308
5 100
6 3
7 30
8 233
9 32
10 38
11 123
12 306
13 7
14 96
15 151
16
Progressive sequence alignment as a prerequisitetto correct phylogenetic treesbreakdown →
1505
17 51
18 436
19 73
20 332

About Da-Fei Feng

Da-Fei Feng is a scholar working on Molecular Biology, Ecology and Complementary and alternative medicine, having authored 22 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Virology (351 citations), Molecular Biology (3.0k citations) and Genetics (763 citations). Da-Fei Feng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Russell F. Doolittle, Mark S. Johnson, R.F. Doolittle, Marcella A. McClure, Simon K. Tsang, Elizabeth Little, J A Gray, Michael W. Smith, Tomoaki Hishida and Takuji Sasaki. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Trends in Biochemical Sciences.

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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