Karl Weitz
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Metabolomics and Mass Spectrometry Studies
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
Papers in
-
- Pharmacogenetics and Drug Metabolism 7
- Co-authors
- Richard SmithKim HixsonSamuel PurvineMatthew MonroeDaniel López‐FerrerJoshua AdkinsRainer KönigRoland Eils
- Journals
- Journal of Proteome Research (4 papers)Toxicological Sciences (4 papers)Analytical Chemistry (3 papers)NanoImpact (3 papers)Journal of the American Society for Mass Spectrometry (2 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Karl Weitz
63 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Spectroscopy 491
- Molecular Biology 1.3k
- Chemical Health and Safety 9
- Biochemistry 84
- Health, Toxicology and Mutagenesis 152
Countries citing papers authored by Karl Weitz
This map shows the geographic impact of Karl Weitz'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 Karl Weitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Weitz more than expected).
Fields of papers citing papers by Karl Weitz
This network shows the impact of papers produced by Karl Weitz. 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 Karl Weitz. The network helps show where Karl Weitz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karl Weitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 140 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 70 | |
| 11 | 2020 | 71 | |
| 12 | 2019 | 95 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 35 | |
| 15 | 2018 | 34 | |
| 16 | 2016 | 48 | |
| 17 | 2015 | 27 | |
| 18 | 2003 | 6 | |
| 19 | 2001 | 22 | |
| 20 | 2000 | 22 |
About Karl Weitz
Karl Weitz is a scholar working on Chemical Health and Safety, Pharmacology, Spectroscopy, Health, Toxicology and Mutagenesis and Cancer Research, having authored 65 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (10 papers), Pharmacogenetics and Drug Metabolism (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Carcinogens and Genotoxicity Assessment (5 papers), Analytical Chemistry and Chromatography (4 papers), Heavy Metal Exposure and Toxicity (4 papers), Poisoning and overdose treatments (4 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Spectroscopy (491 citations), Molecular Biology (1.3k citations), Chemical Health and Safety (9 citations), Biochemistry (84 citations) and Health, Toxicology and Mutagenesis (152 citations). Karl Weitz has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Richard Smith, Kim Hixson, Samuel Purvine, Matthew Monroe, Daniel López‐Ferrer, Joshua Adkins, Rainer König, Roland Eils, Tom M Conrad and Nathan E. Lewis. Their work appears in journals such as Journal of Proteome Research, Toxicological Sciences, Analytical Chemistry, NanoImpact and Journal of the American Society for 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.