Fu Lu

8.3k citations
4 papers · 3.3k indexed · 2 hit papers · h-index 3

Impact in

    • Genomics and Phylogenetic Studies
    • Photosynthetic Processes and Mechanisms
    • RNA and protein synthesis mechanisms
    • Plant Gene Expression Analysis

Papers in

    • Advanced Proteomics Techniques and Applications 1
    • Genomics and Phylogenetic Studies 2
    • Machine Learning in Bioinformatics 1
    • RNA and protein synthesis mechanisms 1
    • Biomedical Text Mining and Ontologies 1
    • Bioinformatics and Genomic Networks 1

Fu Lu

4 papers receiving 3.3k citations

Hit Papers

CDD: NCBI's conserved domain database 2014 · 2.6k citations
2.6k201220262016202150010001.5k2.0k2.5k

Peers

Fu Lu
Comparison fields: 5 of 125
  • Endocrinology 169
  • Molecular Biology 2.1k
  • Plant Science 1.1k
  • Biotechnology 211
  • Horticulture 17
Replace Zhouxi Wang with:
Zhouxi Wang United States
Sara El-Gebali Switzerland
Sylvain Buffet France
Layla Hirsh Peru
Mingzhang Yang United States
Shriya Raj United States
Chris Boursnell United Kingdom
Sara Chuguransky Argentina
Aurélien Luciani United Kingdom
Valentin Guignon France
Fu Lu relative to Zhouxi Wang United States Zhouxi Wang's profile →
Citations per field
00.5×1.5×
Zhouxi Wang · 1×
Citations per year

Countries citing papers authored by Fu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Fu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Fu Lu, 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 Fu Lu Line = papers co-authored together Fu Lu links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 20161
2
CDD: NCBI's conserved domain database
Hit paper breakdown →
20142624
3
CDD: conserved domains and protein three-dimensional structure
Hit paper breakdown →
2012714
4 20103

About Fu Lu

Fu Lu is a scholar working on Spectroscopy, Molecular Biology, Oncology, Artificial Intelligence and Infectious Diseases, having authored 4 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Machine Learning in Bioinformatics (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Drug Transport and Resistance Mechanisms (1 paper), RNA and protein synthesis mechanisms (1 paper), Biomedical Text Mining and Ontologies (1 paper), Bioinformatics and Genomic Networks (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Endocrinology (169 citations), Molecular Biology (2.1k citations), Plant Science (1.1k citations), Biotechnology (211 citations) and Horticulture (17 citations). Fu Lu has collaborated with scholars based in United States. Frequent co-authors include Lewis Y. Geer, Farideh Chitsaz, Myra K. Derbyshire, Narmada Thanki, Stephen H. Bryant, Aron Marchler‐Bauer, Noreen R. Gonzales, Dachuan Zhang, Christopher J. Lanczycki and Renata C. Geer. Their work appears in journals such as Nucleic Acids Research, Cancer Research and Faculty of 1000 Research Ltd.

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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