Amy Schmid

2.2k citations
46 papers · 1.2k indexed · 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 15
    • Microbial Metabolic Engineering and Bioproduction 10
    • RNA and protein synthesis mechanisms 6
    • Gene Regulatory Network Analysis 6
    • Protein Structure and Dynamics 4
    • Bacterial Genetics and Biotechnology 22

Amy Schmid

46 papers receiving 1.2k citations

Peers

Amy Schmid
Comparison fields: 5 of 122
  • Genetics 413
  • Molecular Biology 956
  • Microbiology 73
  • Ecology 288
  • Endocrinology 42
Replace Andreas Hauser with:
Andreas Hauser Germany
Anna G. Green United States
Saskia B. Neher United States
Rebecca Lau United States
Stephanie Kim United States
Volker Kruft Germany
Andreas Bernsel Sweden
Charlotte Tumescheit United Kingdom
Alexandre Colavin United States
Michel van Kempen South Korea
Amy Schmid relative to Andreas Hauser Germany Andreas Hauser's profile →
Citations per field
00.5×1.5×2.3×
Andreas Hauser · 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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018104
2 2009101
3 201579
4 200667
5 201760
6 201955
7 200751
8 201648
9 200947
10 200838
11 201735
12 201433
13 201030
14 202029
15 201229
16 200727
17 201727
18 201925
19 200225
20 201525

About Amy Schmid

Amy Schmid is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Ecology and Spectroscopy, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (22 papers), Genomics and Phylogenetic Studies (15 papers), Enzyme Structure and Function (12 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Microbial Community Ecology and Physiology (7 papers), RNA and protein synthesis mechanisms (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 (413 citations), Molecular Biology (956 citations), Microbiology (73 citations), Ecology (288 citations) and Endocrinology (42 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, Min Pan and Tie Koide. Their work appears in journals such as mBio, Nucleic Acids Research, Molecular Microbiology, Journal of Bacteriology and Journal of Proteome 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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