K. Pfleger
- Toxicology top 1%
- Physiology top 2%
- Erythrocyte Function and Pathophysiology 6
- Adenosine and Purinergic Signaling 6
- Analytical Chemistry top 1%
- Analytical Methods in Pharmaceuticals 15
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography 22
- Mass Spectrometry Techniques and Applications 7
- Pharmacology top 5%
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- Metabolomics and Mass Spectrometry Studies 6
- Chemical Synthesis and Analysis 4
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- Pharmacological Effects and Assays 4
K. Pfleger
107 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Toxicology 188
- Physiology 139
- Analytical Chemistry 276
- Spectroscopy 430
- Pharmacology 123
Countries citing papers authored by K. Pfleger
This map shows the geographic impact of K. Pfleger'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 K. Pfleger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Pfleger more than expected).
Fields of papers citing papers by K. Pfleger
This network shows the impact of papers produced by K. Pfleger. 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 K. Pfleger. The network helps show where K. Pfleger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K. Pfleger, 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 | 2016 | 17 | |
| 2 | Mass spectral and GC data of drugs, poisons, pesticides, pollutants and their metabolites | 1992 | 218 |
| 3 | Mass spectral and GC data of drugs, poisons, pesticides, pollutants and their metabolites: Part 3 mass spectra (m/z222 to 777 amu). | 1992 | 3 |
| 4 | 1989 | 29 | |
| 5 | 1988 | 27 | |
| 6 | 1988 | 27 | |
| 7 | 1988 | 22 | |
| 8 | 1988 | 6 | |
| 9 | 1987 | 87 | |
| 10 | Mass spectra and indexes | 1985 | 1 |
| 11 | 1984 | 29 | |
| 12 | The use of exact mass measurment with a GC-MS-instrument in toxicological analysis. | 1977 | 2 |
| 13 | Proceedings: Highly reliable identification of drugs and their metabolites in body fluids using computerized gas chromatography-mass spectrometry. | 1975 | 2 |
| 14 | 1972 | 83 | |
| 15 | 1970 | 92 | |
| 16 | 1968 | 20 | |
| 17 | 1968 | 6 | |
| 18 | 1967 | 8 | |
| 19 | 1961 | 15 | |
| 20 | [The significance of lactate accumulation for glucose absorption]. | 1958 | 1 |
About K. Pfleger
K. Pfleger is a scholar working on Analytical Chemistry, Spectroscopy and Physiology, having authored 110 papers that have together received 1.4k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (22 papers), Analytical Methods in Pharmaceuticals (15 papers), Mass Spectrometry Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Adenosine and Purinergic Signaling (6 papers), Pharmacological Effects and Assays (4 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Toxicology (188 citations), Physiology (139 citations) and Analytical Chemistry (276 citations). K. Pfleger has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Hans H. Maurer, W. Rummel, Armin Weber, Norbert Kolassa, Ernst Seifen, H. Jacobi, Frithjof‐Hans BERNHARDT, Hans‐Joachim Bielig, Horst P. Büch and I. Volkmer. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Biochemical Pharmacology, Pharmacology, Die Naturwissenschaften and Cellular and Molecular Life Sciences.
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.