Amy Schmid

2.2k citations
49 papers · 1.3k · h-index 23

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • 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 10
    • Gene Regulatory Network Analysis 7
    • RNA and protein synthesis mechanisms 6
    • Protein Structure and Dynamics 4
    • Bacterial Genetics and Biotechnology 21

Amy Schmid

49 papers receiving 1.3k citations

Peers

Amy Schmid
Comparison fields: 5 of 129
  • Genetics 409
  • Molecular Biology 921
  • Microbiology 79
  • Ecology 287
  • Endocrinology 46
Replace Stephanie Kim with:
Stephanie Kim United States
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Jeong-Jae Lee South Korea
R. Bernard France
Marı́a C. Mansilla Argentina
Daniela Albanesi Argentina
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Amy Schmid relative to Stephanie Kim United States Stephanie Kim's profile →
Citations per field
00.5×5×11.8×
Stephanie Kim · 1×
Citations per year

Countries citing papers authored by Amy Schmid

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Amy Schmid Line = papers co-authored together Amy Schmid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018110
2 2009105
3 201589
4 200673
5 201764
6 201958
7 200753
8 200950
9 201648
10 200838
11 201737
12 201434
13 201233
14 202033
15 201032
16 200727
17 201727
18 201527
19 201526
20 200225

About Amy Schmid

Amy Schmid is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Ecology and Cell Biology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (21 papers), Enzyme Structure and Function (12 papers), Genomics and Phylogenetic Studies (12 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Gene Regulatory Network Analysis (7 papers), RNA and protein synthesis mechanisms (6 papers), Microbial Community Ecology and Physiology (6 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Genetics (409 citations), Molecular Biology (921 citations), Microbiology (79 citations), Ecology (287 citations) and Endocrinology (46 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, Kriti Sharma, David J. Reiss, Horia Todor, Tie Koide and Min Pan. Their work appears in journals such as mBio, Nucleic Acids Research, Journal of Bacteriology, Molecular Microbiology and Genome Research.

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.

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