Jan S. Kramer
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Eicosanoids and Hypertension Pharmacology 8
- Co-authors
- Ewgenij Proschak (24 shared papers)Albrecht Berkessel (3 shared papers)Thomas A. Wichelhaus (5 shared papers)Jörg‐M. Neudörfl (2 shared papers)Rainer Haag (2 shared papers)M. Hartmann (4 shared papers)Anna Proschak (5 shared papers)Dieter Steinhilber (7 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)ACS Medicinal Chemistry Letters (3 papers)Journal of Antimicrobial Chemotherapy (3 papers)ChemMedChem (3 papers)Scientific Reports (1 paper)
- Partner nations
- GermanyRussiaUnited States
In The Last Decade
Jan S. Kramer
30 papers receiving 543 citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 107
- Biochemistry 89
- Applied Microbiology and Biotechnology 14
- Genetics 58
- Pharmacology 35
Countries citing papers authored by Jan S. Kramer
This map shows the geographic impact of Jan S. Kramer'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 Jan S. Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan S. Kramer more than expected).
Fields of papers citing papers by Jan S. Kramer
This network shows the impact of papers produced by Jan S. Kramer. 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 Jan S. Kramer. The network helps show where Jan S. Kramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan S. Kramer, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 73 | |
| 2 | 2012 | 60 | |
| 3 | 2017 | 51 | |
| 4 | 2012 | 46 | |
| 5 | 2017 | 29 | |
| 6 | 2017 | 28 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 20 | |
| 9 | 2021 | 20 | |
| 10 | 2018 | 15 | |
| 11 | 2015 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2012 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2019 | 10 |
About Jan S. Kramer
Jan S. Kramer is a scholar working on Molecular Biology, Biochemistry, Molecular Medicine, Organic Chemistry and Pharmacology, having authored 31 papers that have together received 546 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (8 papers), Antibiotic Resistance in Bacteria (7 papers), Pharmacogenetics and Drug Metabolism (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Hormonal Regulation and Hypertension (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Chemical Synthesis and Reactions (3 papers) and Free Radicals and Antioxidants (3 papers). The work is most often cited by research in Molecular Medicine (107 citations), Biochemistry (89 citations), Applied Microbiology and Biotechnology (14 citations), Genetics (58 citations) and Pharmacology (35 citations). Jan S. Kramer has collaborated with scholars based in Germany, Russia and United States. Frequent co-authors include Ewgenij Proschak, Albrecht Berkessel, Thomas A. Wichelhaus, Jörg‐M. Neudörfl, Rainer Haag, M. Hartmann, Anna Proschak, Dieter Steinhilber, Denys Pogoryelov and Sandra K. Wittmann. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Journal of Antimicrobial Chemotherapy, ChemMedChem and Scientific Reports.
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.