Fu Lu

15.3k citations
7 papers · 685 · h-index 7

Impact in

  • Genetics top 10%
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics
    • Bacterial Genetics and Biotechnology
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics

Papers in

    • RNA and protein synthesis mechanisms 3
    • Genomics and Phylogenetic Studies 2
    • Cancer therapeutics and mechanisms 1
    • DNA Repair Mechanisms 1
    • Bacterial Genetics and Biotechnology 3

Fu Lu

7 papers receiving 665 citations

Peers

Fu Lu
Comparison fields: 5 of 94
  • Genetics 320
  • Molecular Biology 471
  • Developmental Biology 12
  • Sensory Systems 22
  • Aging 6
Replace Saba Sajjadian with:
Saba Sajjadian United States
Hugues Blanc France
Tammie S. MacFie United Kingdom
Emily Maclary United States
Phillip D. Beremand United States
Joel Armstrong United States
K. Shimada Japan
Norene A. Buehner United States
Ying-Tao Zhao United States
Camille Meslin France
Fu Lu relative to Saba Sajjadian United States Saba Sajjadian's profile →
Citations per field
00.5×7.3×
Saba Sajjadian · 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 25 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

7 of 7 papers shown
#Work
1 2003495
2 199581
3 200446
4 199824
5 200116
6 199812
7 199811

About Fu Lu

Fu Lu is a scholar working on Molecular Biology, Genetics, Physiology, Pharmaceutical Science and Oncology, having authored 7 papers that have together received 685 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Genomics and Phylogenetic Studies (2 papers), Cancer-related Molecular Pathways (1 paper), Cancer therapeutics and mechanisms (1 paper), DNA Repair Mechanisms (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Genetics (320 citations), Molecular Biology (471 citations), Developmental Biology (12 citations), Sensory Systems (22 citations) and Aging (6 citations). Fu Lu has collaborated with scholars based in United States. Frequent co-authors include H Zalkin, Richard G. Brennan, Andrew G. Clark, Brian J. Murphy, Paul D. Thomas, Michele Cargill, John J. Sninsky, Thomas J. White, Anish Kejariwal and Gary Wang. Their work appears in journals such as Biochemistry, Cell, Science, Bioinformatics and Nature Structural Biology.

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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