Douglas J. Slotta
- Molecular Biology
- Molecular Medicine top 1%
- Food Science top 5%
- Endocrinology top 2%
- Ecology top 10%
- Co-authors
- William KlimkeArjun PrasadMustafa SimmonsVyacheslav BroverPatrick F. McDermottJason P. FolsterMichael FeldgardenIgor Tolstoy
- Topics
- Advanced Proteomics Techniques and Applications (6 papers)Mass Spectrometry Techniques and Applications (5 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
Douglas J. Slotta
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 527
- Molecular Medicine 404
- Food Science 240
- Endocrinology 221
- Ecology 189
Countries citing papers authored by Douglas J. Slotta
This map shows the geographic impact of Douglas J. Slotta'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 Douglas J. Slotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas J. Slotta more than expected).
Fields of papers citing papers by Douglas J. Slotta
This network shows the impact of papers produced by Douglas J. Slotta. 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 Douglas J. Slotta. The network helps show where Douglas J. Slotta may publish in the future.
Co-authorship network of co-authors of Douglas J. Slotta
This figure shows the co-authorship network connecting the top 25 collaborators of Douglas J. Slotta. A scholar is included among the top collaborators of Douglas J. Slotta 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 Douglas J. Slotta. Douglas J. Slotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolatesbreakdown → | 851 |
| 4 | 10 | |
| 5 | 50 | |
| 6 | 26 | |
| 7 | P18-T MassSieve: A New Tool for Mass Spectrometry–Based Proteomics | 2 |
| 8 | P170-M Platform for Proteome Analyses of LC/MS/MS Data by Multiple Search Engine Comparison and Label-Free Relative Quantification | 1 |
| 9 | 138 | |
| 10 | Algorithms for Feature Selection in Rank-Order Spaces | 2 |
| 11 | 19 | |
| 12 | 25 |
About Douglas J. Slotta
Douglas J. Slotta is a scholar working on Spectroscopy, Molecular Medicine and Molecular Biology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Molecular Medicine (404 citations), Endocrinology (221 citations) and Clinical Biochemistry (137 citations). Douglas J. Slotta has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include William Klimke, Arjun Prasad, Mustafa Simmons, Vyacheslav Brover, Patrick F. McDermott, Jason P. Folster, Michael Feldgarden, Igor Tolstoy, Shaohua Zhao and Jamie Wasilenko. Their work appears in journals such as Nucleic Acids Research, Antimicrobial Agents and Chemotherapy 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.