Brian Feng

1.8k citations
2 papers · 1.4k · 1 hit paper · h-index 2

Impact in

    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing
    • Protist diversity and phylogeny
  • Ecology top 10%
    • Microbial Community Ecology and Physiology

Papers in

Brian Feng

2 papers receiving 1.3k citations

Brian Feng's Hit Papers

The Comparative RNA Web (CRW) Site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs 2002 · 1.4k citations
1.4k0+8+16Years since publication4008001.2k

Peers

Brian Feng
Comparison fields: 5 of 76
  • Molecular Biology 1.1k
  • Ecology 217
  • Genetics 225
  • Insect Science 76
  • Ecology, Evolution, Behavior and Systematics 115
Replace Lakshmi V Madabusi with:
Lakshmi V Madabusi United States
Nupur T. Pande United States
Lisa M. D'Souza United States
Rob W. van Nues United Kingdom
Abraham E. Tucker United States
Huai-Chun Wang Canada
Lise Forget Canada
Einat Hazkani‐Covo Israel
Urmi Trivedi United Kingdom
Susanne Penny Canada
Brian Feng relative to Lakshmi V Madabusi United States Lakshmi V Madabusi's profile →
Citations per field
00.5×1.5×
Lakshmi V Madabusi · 1×
Citations per year

Countries citing papers authored by Brian Feng

Since Specialization
Citations

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

Fields of papers citing papers by Brian Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Brian Feng, 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 Brian Feng Line = papers co-authored together Brian Feng links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
The Comparative RNA Web (CRW) Site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs
Hit paper breakdown →
20021359
2 20251

About Brian Feng

Brian Feng is a scholar working on Molecular Biology, Physiology, Immunology, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 1.4k indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (1 paper), Erythrocyte Function and Pathophysiology (1 paper), Immune cells in cancer (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Ecology (217 citations), Genetics (225 citations), Insect Science (76 citations) and Ecology, Evolution, Behavior and Systematics (115 citations). Brian Feng has collaborated with scholars based in United States and Canada. Frequent co-authors include Nan Lin, Lakshmi V Madabusi, Murray N. Schnare, James R. Collett, Sankar Subramanian, Lisa M. D'Souza, Nan Yu, Robin R. Gutell, Kirsten M. Müller and Nupur T. Pande. Their work appears in journals such as Cell Reports and BMC Bioinformatics.

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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