John R. Lopez
Impact in
- Genetics top 0.1%
- Genetic Associations and Epidemiology
- Forensic and Genetic Research
- Genomics and Rare Diseases
- Genetic and phenotypic traits in livestock
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
Papers in
- Genetics 6
- Genomic variations and chromosomal abnormalities 3
- Genetic Associations and Epidemiology 2
- Genetic and phenotypic traits in livestock 1
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- Genomics and Phylogenetic Studies 2
- Co-authors
- John Garner (3 shared papers)Deanna M. Church (2 shared papers)Justin E. Paschall (2 shared papers)Ilkka Lappalainen (2 shared papers)Paul Flicek (2 shared papers)Chao Chen (1 shared paper)John Dylan Spalding (1 shared paper)George Zhou (1 shared paper)
- Journals
- Science (4 papers)Nature (1 paper)Nature Communications (1 paper)F1000Research (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
John R. Lopez
9 papers receiving 25.2k citations
John R. Lopez's Hit Papers
Peers
Comparison fields: 5 of 172
- Genetics 6.1k
- Molecular Biology 4.7k
- Pharmacology 484
- Cancer Research 512
- Spectroscopy 388
Countries citing papers authored by John R. Lopez
This map shows the geographic impact of John R. Lopez'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 John R. Lopez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Lopez more than expected).
Fields of papers citing papers by John R. Lopez
This network shows the impact of papers produced by John R. Lopez. 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 John R. Lopez. The network helps show where John R. Lopez may publish in the future.
Co-authors
The 21 scholars most cited alongside John R. Lopez, 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 | A global reference for human genetic variation Hit paper breakdown → | 2015 | 12887 |
| 2 | The Sequence of the Human Genome Hit paper breakdown → | 2001 | 9978 |
| 3 | The Genome Sequence of the Malaria Mosquito Anopheles gambiae Hit paper breakdown → | 2002 | 1643 |
| 4 | The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution Hit paper breakdown → | 2009 | 975 |
| 5 | 2014 | 328 | |
| 6 | 2002 | 272 | |
| 7 | 2012 | 215 | |
| 8 | 2010 | 54 | |
| 9 | 2016 | 17 |
About John R. Lopez
John R. Lopez is a scholar working on Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 26.4k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Genomics and Phylogenetic Studies (2 papers), Genetic Associations and Epidemiology (2 papers), Genetic and phenotypic traits in livestock (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Genetics (6.1k citations), Molecular Biology (4.7k citations), Pharmacology (484 citations), Cancer Research (512 citations) and Spectroscopy (388 citations). John R. Lopez has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include John Garner, Deanna M. Church, Justin E. Paschall, Ilkka Lappalainen, Paul Flicek, Chao Chen, John Dylan Spalding, George Zhou, Lisa M. Skipper and Timothy W. Hefferon. Their work appears in journals such as Science, Nature, Nature Communications, F1000Research and Nature Genetics.
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.