Fu Lu

8.4k citations
4 papers · 3.4k · 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

    • Genomics and Phylogenetic Studies 2
    • Biomedical Text Mining and Ontologies 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • Bioinformatics and Genomic Networks 1
    • Drug Transport and Resistance Mechanisms 1

Fu Lu

4 papers receiving 3.4k citations

Fu Lu's Hit Papers

CDD: NCBI's conserved domain database 2014 · 2.7k citations
2.7k0+4+9Years since publication50010001.5k2.0k2.5k

Peers

Fu Lu
Comparison fields: 5 of 121
  • Endocrinology 158
  • Molecular Biology 1.9k
  • Plant Science 1.0k
  • Biotechnology 199
  • Microbiology 101
Replace Zhouxi Wang with:
Zhouxi Wang United States
Sara El-Gebali Switzerland
Sylvain Buffet France
Layla Hirsh Peru
Mingzhang Yang United States
Chris Boursnell United Kingdom
Shriya Raj United States
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-authors

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
CDD: NCBI's conserved domain database
Hit paper breakdown →
20142685
2
CDD: conserved domains and protein three-dimensional structure
Hit paper breakdown →
2012730
3 20103
4 20161

About Fu Lu

Fu Lu is a scholar working on Molecular Biology, Oncology, Artificial Intelligence, Spectroscopy and Infectious Diseases, having authored 4 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Semantic Web and Ontologies (1 paper), Biomedical Text Mining and Ontologies (1 paper), Natural Language Processing Techniques (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Bioinformatics and Genomic Networks (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Endocrinology (158 citations), Molecular Biology (1.9k citations), Plant Science (1.0k citations), Biotechnology (199 citations) and Microbiology (101 citations). Fu Lu has collaborated with scholars based in United States. Frequent co-authors include Aron Marchler‐Bauer, Noreen R. Gonzales, Farideh Chitsaz, Gabriele H. Marchler, Chanjuan Zheng, Marc Gwadz, Lewis Y. Geer, Renata C. Geer, James S. Song and Narmada Thanki. 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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