Steve Goldstein
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- Genetics top 10%
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- COVID-19 epidemiological studies 2
-
- Commutative Algebra and Its Applications 1
- Co-authors
- David C. Schwartz (12 shared papers)Chris P Churas (6 shared papers)Shiguo Zhou (9 shared papers)Rod Runnheim (5 shared papers)Dan Forrest (5 shared papers)Alex Lim (3 shared papers)Louise K. Pape (3 shared papers)Miron Livny (2 shared papers)
- Journals
- BMC Genomics (4 papers)PLoS Biology (2 papers)Analytical Chemistry (1 paper)Applied and Environmental Microbiology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Steve Goldstein
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 979
- Genetics 388
- Plant Science 397
- Cancer Research 77
- Ecology 107
Countries citing papers authored by Steve Goldstein
This map shows the geographic impact of Steve Goldstein'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 Steve Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Goldstein more than expected).
Fields of papers citing papers by Steve Goldstein
This network shows the impact of papers produced by Steve Goldstein. 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 Steve Goldstein. The network helps show where Steve Goldstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Goldstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 490 | |
| 2 | 2009 | 372 | |
| 3 | 2004 | 157 | |
| 4 | 2009 | 114 | |
| 5 | 2007 | 105 | |
| 6 | 2012 | 82 | |
| 7 | 2005 | 59 | |
| 8 | 2012 | 34 | |
| 9 | 2008 | 31 | |
| 10 | 2013 | 28 | |
| 11 | 2021 | 28 | |
| 12 | 2013 | 25 | |
| 13 | 2021 | 23 | |
| 14 | 2012 | 16 | |
| 15 | 2015 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 1988 | 11 | |
| 18 | 2021 | 9 | |
| 19 | 2018 | 6 | |
| 20 | Unstable enzymes in erythrocytes of a family with the Hutchinson--Gilford progeria syndrome. | 1978 | 5 |
About Steve Goldstein
Steve Goldstein is a scholar working on Modeling and Simulation, Algebra and Number Theory, Molecular Biology, Plant Science and Ecology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Chromosomal and Genetic Variations (3 papers), COVID-19 epidemiological studies (2 papers), Microbial Community Ecology and Physiology (2 papers), Protist diversity and phylogeny (2 papers), Commutative Algebra and Its Applications (1 paper), COVID-19 Clinical Research Studies (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Molecular Biology (979 citations), Genetics (388 citations), Plant Science (397 citations), Cancer Research (77 citations) and Ecology (107 citations). Steve Goldstein has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include David C. Schwartz, Chris P Churas, Shiguo Zhou, Rod Runnheim, Dan Forrest, Alex Lim, Louise K. Pape, Miron Livny, Michael Dennis Graham and Eileen T. Dimalanta. Their work appears in journals such as BMC Genomics, PLoS Biology, Analytical Chemistry, Applied and Environmental Microbiology and PLoS 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.