K. Pfleger
Impact in
- Toxicology top 0.5%
- Forensic Toxicology and Drug Analysis
- Physiology top 2%
- Adenosine and Purinergic Signaling
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Chemical Synthesis and Analysis 4
- Spectroscopy 22
- Analytical Chemistry and Chromatography 22
- Mass Spectrometry Techniques and Applications 7
- Co-authors
- Hans H. Maurer (18 shared papers)W. Rummel (37 shared papers)Armin Weber (3 shared papers)Norbert Kolassa (6 shared papers)Ernst Seifen (14 shared papers)H. Jacobi (9 shared papers)Hans‐Joachim Bielig (6 shared papers)Frithjof‐Hans BERNHARDT (2 shared papers)
In The Last Decade
K. Pfleger
107 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Toxicology 209
- Physiology 153
- Analytical Chemistry 288
- Spectroscopy 475
- Pharmacology 125
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-authors
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
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mass spectral and GC data of drugs, poisons, pesticides, pollutants and their metabolites | 1992 | 235 |
| 2 | 1970 | 102 | |
| 3 | 1987 | 91 | |
| 4 | 1972 | 85 | |
| 5 | 1971 | 63 | |
| 6 | 1986 | 46 | |
| 7 | 1981 | 42 | |
| 8 | 1984 | 38 | |
| 9 | Mass spectral and GC data of drugs, poisons, and their metabolites | 1985 | 34 |
| 10 | 1967 | 31 | |
| 11 | 1989 | 30 | |
| 12 | 1983 | 30 | |
| 13 | 1984 | 30 | |
| 14 | 1988 | 29 | |
| 15 | 1969 | 28 | |
| 16 | 1988 | 28 | |
| 17 | 1984 | 26 | |
| 18 | 1988 | 25 | |
| 19 | 1956 | 24 | |
| 20 | 1968 | 23 |
About K. Pfleger
K. Pfleger is a scholar working on Molecular Biology, Spectroscopy, Analytical Chemistry, Physiology and Organic Chemistry, having authored 112 papers that have together received 1.6k 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), Adenosine and Purinergic Signaling (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Metabolomics and Mass Spectrometry Studies (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 (209 citations), Physiology (153 citations), Analytical Chemistry (288 citations), Spectroscopy (475 citations) and Pharmacology (125 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, Hans‐Joachim Bielig, Frithjof‐Hans BERNHARDT, Horst P. Büch and I. Volkmer. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Biochemical Pharmacology, Die Naturwissenschaften, Cellular and Molecular Life Sciences and Phytochemistry.
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.