Frank Schmidt

5.9k citations
120 papers · 3.5k · h-index 32

Impact in

Papers in

    • Genomics and Phylogenetic Studies 14
    • Metabolomics and Mass Spectrometry Studies 8
    • Advanced Proteomics Techniques and Applications 25
    • Mass Spectrometry Techniques and Applications 16

Frank Schmidt

116 papers receiving 3.5k citations

Peers

Frank Schmidt
Comparison fields: 5 of 137
  • Microbiology 250
  • Infectious Diseases 612
  • Spectroscopy 545
  • Clinical Biochemistry 189
  • Molecular Biology 1.8k
Replace Dirk Albrecht with:
Dirk Albrecht Germany
Florian P. Breitwieser United States
Alvin Fox United States
Harold Tjalsma Netherlands
Josef Deutscher France
David J. Gonzalez United States
Howard Goldfine United States
Peter R. Jungblut Germany
Alba Silipo Italy
Stuart J. Cordwell Australia
Frank Schmidt relative to Dirk Albrecht Germany Dirk Albrecht's profile →
Citations per field
00.5×2.8×
Dirk Albrecht · 1×
Citations per year

Countries citing papers authored by Frank Schmidt

Since Specialization
Citations

This map shows the geographic impact of Frank Schmidt'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 Frank Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Schmidt more than expected).

Fields of papers citing papers by Frank Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Schmidt. 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 Frank Schmidt. The network helps show where Frank Schmidt may publish in the future.

Co-authors

The 25 scholars most cited alongside Frank Schmidt, 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 Frank Schmidt Line = papers co-authored together Frank Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005191
2 2003148
3 2021143
4 2003135
5 2016132
6 2008105
7 2016104
8 200985
9 201384
10 201084
11 201174
12 200667
13 200864
14 201261
15 200361
16 201359
17 201559
18 201157
19 200954
20 200650

About Frank Schmidt

Frank Schmidt is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Clinical Biochemistry and Epidemiology, having authored 120 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (25 papers), Antimicrobial Resistance in Staphylococcus (17 papers), Bacterial Identification and Susceptibility Testing (16 papers), Mass Spectrometry Techniques and Applications (16 papers), Genomics and Phylogenetic Studies (14 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Bacterial Infections and Vaccines (8 papers) and Streptococcal Infections and Treatments (7 papers). The work is most often cited by research in Microbiology (250 citations), Infectious Diseases (612 citations), Spectroscopy (545 citations), Clinical Biochemistry (189 citations) and Molecular Biology (1.8k citations). Frank Schmidt has collaborated with scholars based in Germany, Qatar and United States. Frequent co-authors include Uwe Völker, Nico Jehmlich, Martin von Bergen�, Peter R. Jungblut, Jens Mattow, Carsten Vogt, Hans H. Richnow, Bernd Thiede, Stefan H. E. Kaufmann and Jana Seifert. Their work appears in journals such as PROTEOMICS, Journal of Proteomics, Molecular & Cellular Proteomics, Cytometry Part A and PLoS Pathogens.

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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