Daniel Lockshon
- Molecular Biology top 0.5%
- Fungal and yeast genetics research 7
- RNA Research and Splicing 4
- DNA Repair Mechanisms 3
- Muscle Physiology and Disorders 3
- Cancer therapeutics and mechanisms 3
- DNA and Nucleic Acid Chemistry 2
- Ubiquitin and proteasome pathways 2
- Cell Biology top 1%
- Aging top 5%
- Genetics top 2%
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- Herpesvirus Infections and Treatments 2
- Co-authors
- Robert L. DavisHarold WeintraubRobert BenezraDavid L. TurnerStanley FieldsAndrew B. LassarVaibhav A. NarayanMeijia Yang
- Cited by
- Molecular BiologyCell BiologyAging
- Partner nations
- United StatesGermany
In The Last Decade
Daniel Lockshon
19 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 7.0k
- Cell Biology 796
- Aging 81
- Genetics 792
- Computational Theory and Mathematics 411
Countries citing papers authored by Daniel Lockshon
This map shows the geographic impact of Daniel Lockshon'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 Daniel Lockshon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lockshon more than expected).
Fields of papers citing papers by Daniel Lockshon
This network shows the impact of papers produced by Daniel Lockshon. 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 Daniel Lockshon. The network helps show where Daniel Lockshon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Lockshon, 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 | 2012 | 30 | |
| 2 | 2007 | 11 | |
| 3 | 2006 | 87 | |
| 4 | 2003 | 100 | |
| 5 | 2002 | 8 | |
| 6 | A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiaebreakdown → | 2000 | 3577 |
| 7 | 1997 | 103 | |
| 8 | 1996 | 42 | |
| 9 | 1995 | 142 | |
| 10 | 1992 | 229 | |
| 11 | 1990 | 94 | |
| 12 | The protein Id: A negative regulator of helix-loop-helix DNA binding proteinsbreakdown → | 1990 | 1969 |
| 13 | 1990 | 269 | |
| 14 | MyoD is a sequence-specific DNA binding protein requiring a region of myc homology to bind to the muscle creatine kinase enhancerbreakdown → | 1989 | 784 |
| 15 | 1988 | 55 | |
| 16 | 1986 | 56 | |
| 17 | 1985 | 102 | |
| 18 | 1984 | 75 | |
| 19 | 1983 | 141 |
About Daniel Lockshon
Daniel Lockshon is a scholar working on Molecular Biology, Molecular Medicine and Biochemistry, having authored 19 papers that have together received 7.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), RNA Research and Splicing (4 papers), DNA Repair Mechanisms (3 papers), Muscle Physiology and Disorders (3 papers), Cancer therapeutics and mechanisms (3 papers), Herpesvirus Infections and Treatments (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Molecular Biology (7.0k citations), Cell Biology (796 citations) and Aging (81 citations). Daniel Lockshon has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert L. Davis, Harold Weintraub, Robert Benezra, David L. Turner, Stanley Fields, Andrew B. Lassar, Vaibhav A. Narayan, Meijia Yang, Peter Uetz and Gerard Cagney. Their work appears in journals such as Cell, Genetics, Molecular and Cellular Biology, FEMS Yeast Research and Biochemistry.
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.