Frank Schmidt

5.9k citations
121 papers · 3.7k · h-index 33

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

117 papers receiving 3.6k citations

Peers

Frank Schmidt
Comparison fields: 5 of 140
  • Microbiology 255
  • Infectious Diseases 627
  • Spectroscopy 574
  • Clinical Biochemistry 195
  • Molecular Biology 1.9k
Replace Dirk Albrecht with:
Dirk Albrecht Germany
Manuel Liebeke Germany
Florian P. Breitwieser United States
Alvin Fox United States
Josef Deutscher France
Harold Tjalsma Netherlands
Howard Goldfine United States
David J. Gonzalez United States
Peter R. Jungblut Germany
Stuart J. Cordwell Australia
Frank Schmidt relative to Dirk Albrecht Germany Dirk Albrecht's profile →
Citations per field
00.5×2.9×
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 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005203
2 2003158
3 2021145
4 2003138
5 2016133
6 2008117
7 2016108
8 2009101
9 201389
10 201088
11 201178
12 200873
13 200972
14 200669
15 201265
16 201364
17 201563
18 200362
19 201159
20 200651

About Frank Schmidt

Frank Schmidt is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Clinical Biochemistry and Epidemiology, having authored 121 papers that have together received 3.7k 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 (255 citations), Infectious Diseases (627 citations), Spectroscopy (574 citations), Clinical Biochemistry (195 citations) and Molecular Biology (1.9k 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, PLoS Pathogens, Cytometry Part A and Molecular & Cellular Proteomics.

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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