Amy Schmid
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
Papers in
-
- Genomics and Phylogenetic Studies 12
- Microbial Metabolic Engineering and Bioproduction 9
- RNA and protein synthesis mechanisms 6
- Gene Regulatory Network Analysis 6
- Protein Structure and Dynamics 4
- Genetics 20
- Bacterial Genetics and Biotechnology 20
- Co-authors
- Cynthia L. Darnell (12 shared papers)Peter D. Tonner (7 shared papers)Mary E. Lidstrom (5 shared papers)Nitin S. Baliga (6 shared papers)Barbara E. Engelhardt (2 shared papers)David J. Reiss (4 shared papers)Kriti Sharma (4 shared papers)Horia Todor (4 shared papers)
- Journals
- Nucleic Acids Research (5 papers)mBio (5 papers)Molecular Microbiology (3 papers)Journal of Bacteriology (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Amy Schmid
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 128
- Genetics 393
- Molecular Biology 887
- Microbiology 75
- Ecology 273
- Endocrinology 43
Countries citing papers authored by Amy Schmid
This map shows the geographic impact of Amy Schmid'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 Amy Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Schmid more than expected).
Fields of papers citing papers by Amy Schmid
This network shows the impact of papers produced by Amy Schmid. 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 Amy Schmid. The network helps show where Amy Schmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Schmid, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2009 | 102 | |
| 3 | 2015 | 85 | |
| 4 | 2006 | 66 | |
| 5 | 2017 | 62 | |
| 6 | 2019 | 57 | |
| 7 | 2007 | 51 | |
| 8 | 2016 | 48 | |
| 9 | 2009 | 47 | |
| 10 | 2008 | 38 | |
| 11 | 2017 | 35 | |
| 12 | 2014 | 34 | |
| 13 | 2010 | 30 | |
| 14 | 2020 | 30 | |
| 15 | 2012 | 29 | |
| 16 | 2007 | 27 | |
| 17 | 2017 | 27 | |
| 18 | 2015 | 27 | |
| 19 | 2002 | 25 | |
| 20 | 2015 | 25 |
About Amy Schmid
Amy Schmid is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Ecology and Cell Biology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (20 papers), Enzyme Structure and Function (12 papers), Genomics and Phylogenetic Studies (12 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), RNA and protein synthesis mechanisms (6 papers), Microbial Community Ecology and Physiology (6 papers), Gene Regulatory Network Analysis (6 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Genetics (393 citations), Molecular Biology (887 citations), Microbiology (75 citations), Ecology (273 citations) and Endocrinology (43 citations). Amy Schmid has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Cynthia L. Darnell, Peter D. Tonner, Mary E. Lidstrom, Nitin S. Baliga, Barbara E. Engelhardt, David J. Reiss, Kriti Sharma, Horia Todor, Min Pan and Tie Koide. Their work appears in journals such as Nucleic Acids Research, mBio, Molecular Microbiology, Journal of Bacteriology and PLoS ONE.
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.