Frank Schmidt

5.8k total citations
122 papers, 3.5k citations indexed

About

Frank Schmidt is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Frank Schmidt has authored 122 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 28 papers in Spectroscopy and 26 papers in Infectious Diseases. Recurrent topics in Frank Schmidt's work include Advanced Proteomics Techniques and Applications (26 papers), Antimicrobial Resistance in Staphylococcus (18 papers) and Mass Spectrometry Techniques and Applications (17 papers). Frank Schmidt is often cited by papers focused on Advanced Proteomics Techniques and Applications (26 papers), Antimicrobial Resistance in Staphylococcus (18 papers) and Mass Spectrometry Techniques and Applications (17 papers). Frank Schmidt collaborates with scholars based in Germany, Qatar and United States. Frank Schmidt's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Frank Schmidt

115 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frank Schmidt Germany 32 1.9k 656 563 557 498 122 3.5k
Benjamin L. Schulz Australia 42 2.9k 1.5× 389 0.6× 308 0.5× 549 1.0× 524 1.1× 173 5.0k
Florian P. Breitwieser United States 26 2.8k 1.5× 459 0.7× 1.1k 2.0× 168 0.3× 532 1.1× 42 4.7k
Rembert Pieper United States 34 3.3k 1.7× 501 0.8× 268 0.5× 1.5k 2.7× 891 1.8× 95 5.7k
David J. Gonzalez United States 33 2.9k 1.5× 373 0.6× 236 0.4× 205 0.4× 418 0.8× 100 4.5k
Dirk Albrecht Germany 40 2.6k 1.4× 887 1.4× 892 1.6× 301 0.5× 181 0.4× 114 4.3k
Alvin Fox United States 36 1.4k 0.8× 235 0.4× 503 0.9× 549 1.0× 276 0.6× 118 3.7k
Howard Goldfine United States 35 2.4k 1.2× 306 0.5× 298 0.5× 231 0.4× 238 0.5× 113 4.4k
Alba Silipo Italy 40 2.7k 1.4× 221 0.3× 496 0.9× 225 0.4× 391 0.8× 209 5.7k
Andreas Burkovski Germany 43 3.2k 1.7× 606 0.9× 329 0.6× 176 0.3× 723 1.5× 183 5.4k
Matthew R. Laird Canada 15 3.3k 1.7× 547 0.8× 1.1k 1.9× 97 0.2× 507 1.0× 17 5.2k

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-authorship network of co-authors of Frank Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Schmidt. A scholar is included among the top collaborators of Frank Schmidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank Schmidt. Frank Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hannemann, Anke, Sabine Ameling, Marcus Dörr, et al.. (2024). Integrative Analyses of Circulating Proteins and Metabolites Reveal Sex Differences in the Associations with Cardiac Function among DCM Patients. International Journal of Molecular Sciences. 25(13). 6827–6827.
2.
Batra, Richa, Oleh M. Akchurin, Sergio Alvarez-Mulett, et al.. (2023). Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS. Molecular Medicine. 29(1). 13–13. 12 indexed citations
3.
4.
Thareja, Gaurav, Matthias Arnold, Omar Albagha, et al.. (2022). Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations. Human Molecular Genetics. 32(6). 907–916. 18 indexed citations
5.
Pastor, Antoni, Rafael de la Torre, Osquel Barroso, et al.. (2021). The Proteomic Signature of Recombinant Growth Hormone in Recreational Athletes. Journal of the Endocrine Society. 5(12). bvab156–bvab156. 4 indexed citations
6.
Choi, Sunkyu, Neha Goswami, & Frank Schmidt. (2020). Comparative Proteomic Profiling of 3T3-L1 Adipocyte Differentiation Using SILAC Quantification. Journal of Proteome Research. 19(12). 4884–4900. 8 indexed citations
7.
Surmann, Kristin, Maren Depke, Vishnu M. Dhople, et al.. (2018). Analysis of Staphylococcus aureus proteins secreted inside infected human epithelial cells. International Journal of Medical Microbiology. 308(6). 664–674. 5 indexed citations
8.
Lamberti, Yanina, Kristin Surmann, Hugo Valdez, et al.. (2016). Proteome analysis of Bordetella pertussis isolated from human macrophages. Journal of Proteomics. 136. 55–67. 20 indexed citations
9.
Stentzel, Sebastian, Stephan Michalik, Maria Nordengrün, et al.. (2015). Specific serum IgG at diagnosis of Staphylococcus aureus bloodstream invasion is correlated with disease progression. Journal of Proteomics. 128. 1–7. 49 indexed citations
10.
Surmann, Kristin, Stephan Michalik, Petra Hildebrandt, et al.. (2014). Comparative proteome analysis reveals conserved and specific adaptation patterns of Staphylococcus aureus after internalization by different types of human non-professional phagocytic host cells. Frontiers in Microbiology. 5. 392–392. 37 indexed citations
11.
Schmidt, Frank, Petra Hildebrandt, Marc Burian, et al.. (2010). Time‐resolved quantitative proteome profiling of host–pathogen interactions: The response of Staphylococcus aureus RN1HG to internalisation by human airway epithelial cells. PROTEOMICS. 10(15). 2801–2811. 43 indexed citations
12.
Schmidt, Frank, et al.. (2010). Declining Capacity of StarvingDelftia acidovoransMC1 to Degrade Phenoxypropionate Herbicides Correlates with Oxidative Modification of the Initial Enzyme. Environmental Science & Technology. 44(10). 3793–3799. 16 indexed citations
13.
Jehmlich, Nico, Sabine Kleinsteuber, Carsten Vogt, et al.. (2010). Phylogenetic and proteomic analysis of an anaerobic toluene-degrading community. Journal of Applied Microbiology. 109(6). 1937–1945. 30 indexed citations
14.
15.
Mattow, Jens, Frank Siejak, Kristine Hagens, et al.. (2006). Proteins unique to intraphagosomally grown Mycobacterium tuberculosis . PROTEOMICS. 6(8). 2485–2494. 67 indexed citations
16.
Thiede, Bernd, Alexander Krah, Jens Mattow, et al.. (2005). Peptide mass fingerprinting. Methods. 35(3). 237–247. 193 indexed citations
17.
Schmidt, Frank, Kristine Hagens, Jens Mattow, et al.. (2003). Complementary Analysis of the Mycobacterium tuberculosis Proteome by Two-dimensional Electrophoresis and Isotope-coded Affinity Tag Technology. Molecular & Cellular Proteomics. 3(1). 24–42. 148 indexed citations
18.
19.
Schmidt, Frank, et al.. (2001). Management of congenital abnormalities of the donor lung. The Annals of Thoracic Surgery. 72(3). 935–937. 24 indexed citations
20.
Spitzer, E., et al.. (2000). Detection ofBRCA1 andBRCA2 mutations in breast cancer families by a comprehensive two-stage screening procedure. International Journal of Cancer. 85(4). 474–481. 18 indexed citations

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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