Frank Schmidt
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Tuberculosis Research and Epidemiology
Papers in
- Spectroscopy 32
- Advanced Proteomics Techniques and Applications 31
-
- Antimicrobial Resistance in Staphylococcus 9
- COVID-19 Clinical Research Studies 3
- Tuberculosis Research and Epidemiology 2
- Co-authors
- Uwe Völker (37 shared papers)Nico Jehmlich (21 shared papers)Martin von Bergen� (19 shared papers)Peter Roman Jungblut (11 shared papers)Jens Mattow (8 shared papers)Carsten Vogt (11 shared papers)Hans Hermann Richnow (9 shared papers)Bernd Thiede (10 shared papers)
- Journals
- PROTEOMICS (19 papers)Journal of Proteomics (9 papers)PLoS Pathogens (4 papers)Cytometry Part A (4 papers)Rapid Communications in Mass Spectrometry (4 papers)
- Partner nations
- GermanyUnited StatesQatar
In The Last Decade
Frank Schmidt
119 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 109
- Spectroscopy 611
- Infectious Diseases 461
- Pollution 208
- Microbiology 80
- Genetics 324
Countries citing papers authored by Frank Schmidt
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
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.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 324 | |
| 2 | 2005 | 207 | |
| 3 | 2016 | 160 | |
| 4 | 2003 | 157 | |
| 5 | 2021 | 155 | |
| 6 | 2003 | 138 | |
| 7 | 2016 | 137 | |
| 8 | 2014 | 120 | |
| 9 | 2008 | 119 | |
| 10 | 2016 | 117 | |
| 11 | 2009 | 102 | |
| 12 | 2013 | 97 | |
| 13 | 2010 | 91 | |
| 14 | 2011 | 81 | |
| 15 | 2008 | 72 | |
| 16 | 2009 | 72 | |
| 17 | 2006 | 71 | |
| 18 | 2012 | 66 | |
| 19 | 2013 | 63 | |
| 20 | 2003 | 62 |
About Frank Schmidt
Frank Schmidt is a scholar working on Spectroscopy, Infectious Diseases, Genetics, Microbiology and Molecular Biology, having authored 122 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (31 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Genetic Associations and Epidemiology (7 papers), Bacterial Genetics and Biotechnology (4 papers), COVID-19 Clinical Research Studies (3 papers), Pneumonia and Respiratory Infections (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Respiratory Support and Mechanisms (2 papers). The work is most often cited by research in Spectroscopy (611 citations), Infectious Diseases (461 citations), Pollution (208 citations), Microbiology (80 citations) and Genetics (324 citations). Frank Schmidt has collaborated with scholars based in Germany, United States and Qatar. Frequent co-authors include Uwe Völker, Nico Jehmlich, Martin von Bergen�, Peter Roman Jungblut, Jens Mattow, Carsten Vogt, Hans Hermann 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 Rapid Communications in Mass Spectrometry.
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.