Fu Lu
Impact in
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- Genetics top 0.5%
Papers in
- Genetics 8
- Bacterial Genetics and Biotechnology 3
- Genetic Mapping and Diversity in Plants and Animals 2
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- Calcium signaling and nucleotide metabolism 2
- Co-authors
- Brian J. Murphy (1 shared paper)Rasmus O. Nielsen (1 shared paper)David M. Tanenbaum (1 shared paper)Andrew G. Clark (1 shared paper)Steve Ferriera (1 shared paper)Anish Kejariwal (1 shared paper)John J. Sninsky (1 shared paper)Thomas J. White (1 shared paper)
- Journals
- Science (4 papers)Biochemistry (3 papers)Cell (1 paper)Bioinformatics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Fu Lu
12 papers receiving 10.4k citations
Fu Lu's Hit Papers
Peers
Comparison fields: 5 of 195
- Molecular Biology 7.8k
- Genetics 2.9k
- Cancer Research 756
- Aging 76
- Plant Science 1.3k
Countries citing papers authored by Fu Lu
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Sequence of the Human Genome Hit paper breakdown → | 2001 | 10025 |
| 2 | 2003 | 523 | |
| 3 | 2002 | 277 | |
| 4 | 2003 | 167 | |
| 5 | 2004 | 131 | |
| 6 | 1995 | 81 | |
| 7 | 2004 | 48 | |
| 8 | 1998 | 21 | |
| 9 | 2001 | 16 | |
| 10 | 1998 | 12 | |
| 11 | 1998 | 10 | |
| 12 | 2002 | 1 |
About Fu Lu
Fu Lu is a scholar working on Genetics, Physiology, Molecular Biology, Pharmaceutical Science and Plant Science, having authored 12 papers that have together received 11.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (7.8k citations), Genetics (2.9k citations), Cancer Research (756 citations), Aging (76 citations) and Plant Science (1.3k citations). Fu Lu has collaborated with scholars based in United States and Canada. Frequent co-authors include Brian J. Murphy, Rasmus O. Nielsen, David M. Tanenbaum, Andrew G. Clark, Steve Ferriera, Anish Kejariwal, John J. Sninsky, Thomas J. White, Gary Wang and Paul D. Thomas. Their work appears in journals such as Science, Biochemistry, Cell, Bioinformatics and Proceedings of the National Academy of 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.