Jan S. Kramer

768 total citations
32 papers, 530 citations indexed

About

Jan S. Kramer is a scholar working on Molecular Biology, Molecular Medicine and Biochemistry. According to data from OpenAlex, Jan S. Kramer has authored 32 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Molecular Medicine and 8 papers in Biochemistry. Recurrent topics in Jan S. Kramer's work include Antibiotic Resistance in Bacteria (8 papers), Eicosanoids and Hypertension Pharmacology (8 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Jan S. Kramer is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), Eicosanoids and Hypertension Pharmacology (8 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Jan S. Kramer collaborates with scholars based in Germany, Russia and United States. Jan S. Kramer's co-authors include Ewgenij Proschak, Albrecht Berkessel, Thomas A. Wichelhaus, Jörg‐M. Neudörfl, Rainer Haag, M. Hartmann, Anna Proschak, Sandra K. Wittmann, Jan Heering and Denys Pogoryelov and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Jan S. Kramer

31 papers receiving 525 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan S. Kramer Germany 13 211 118 107 84 71 32 530
James G. Robertson United States 15 465 2.2× 292 2.5× 38 0.4× 55 0.7× 62 0.9× 26 865
Fereidoon Daryaee United States 12 227 1.1× 94 0.8× 38 0.4× 11 0.1× 61 0.9× 18 463
Zhihong Li China 15 252 1.2× 113 1.0× 24 0.2× 42 0.5× 49 0.7× 28 538
Hongjiang Xu China 15 373 1.8× 192 1.6× 43 0.4× 6 0.1× 58 0.8× 41 773
I. Pettinati United Kingdom 9 232 1.1× 32 0.3× 204 1.9× 36 0.4× 95 1.3× 9 482
Vidya P. Kumar United States 17 269 1.3× 49 0.4× 19 0.2× 41 0.5× 48 0.7× 47 571
I. D’Angelo Canada 16 756 3.6× 27 0.2× 18 0.2× 18 0.2× 96 1.4× 23 1.1k
Dalavaikodihalli Nanjaiah Nandakumar India 7 134 0.6× 20 0.2× 69 0.6× 8 0.1× 19 0.3× 7 350
Thomas Kenney United States 12 136 0.6× 90 0.8× 84 0.8× 4 0.0× 64 0.9× 22 437

Countries citing papers authored by Jan S. Kramer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jan S. Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of Jan S. Kramer. A scholar is included among the top collaborators of Jan S. Kramer 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 Jan S. Kramer. Jan S. Kramer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Heering, Jan, Víctor Hernández‐Olmos, Jan S. Kramer, et al.. (2022). Compilation and evaluation of a fatty acid mimetics screening library. Biochemical Pharmacology. 204. 115191–115191. 3 indexed citations
3.
Hartmann, Markus A., Sofia‐Iris Bibli, Daniel Tews, et al.. (2021). Combined Cardioprotective and Adipocyte Browning Effects Promoted by the Eutomer of Dual sEH/PPARγ Modulator. Journal of Medicinal Chemistry. 64(5). 2815–2828. 11 indexed citations
4.
Yahiaoui, Samir, Jörg Haupenthal, Thomas A. Wichelhaus, et al.. (2021). N-Aryl mercaptoacetamides as potential multi-target inhibitors of metallo-β-lactamases (MBLs) and the virulence factor LasB from Pseudomonas aeruginosa. RSC Medicinal Chemistry. 12(10). 1698–1708. 10 indexed citations
5.
Hartmann, M., Jessica Huber, Jan S. Kramer, et al.. (2021). Demonstrating Ligandability of the LC3A and LC3B Adapter Interface. Journal of Medicinal Chemistry. 64(7). 3720–3746. 18 indexed citations
6.
Kramer, Jan S., et al.. (2021). Development and in vitro Profiling of Dual FXR/LTA4H Modulators. ChemMedChem. 16(15). 2366–2374. 8 indexed citations
7.
Krasavin, Mikhail, Daniil Zhukovsky, Dmitry Dar’in, et al.. (2021). RhII‐Catalyzed De‐symmetrization of Ethane‐1,2‐dithiol and Propane‐1,3‐dithiol Yields Metallo‐β‐lactamase Inhibitors. ChemMedChem. 16(22). 3410–3417. 10 indexed citations
8.
Kramer, Jan S., et al.. (2020). Characterization of the novel OXA-213-like β-lactamase OXA-822 from Acinetobacter calcoaceticus. Journal of Antimicrobial Chemotherapy. 76(3). 626–634. 5 indexed citations
9.
Chen, Chunyang, et al.. (2019). Capillary electrophoresis‐based enzyme assays for β‐lactamase enzymes. Electrophoresis. 40(18-19). 2375–2381. 3 indexed citations
10.
König, Stefanie, Simona Pace, Helmut Pein, et al.. (2019). Gliotoxin from Aspergillus fumigatus Abrogates Leukotriene B4 Formation through Inhibition of Leukotriene A4 Hydrolase. Cell chemical biology. 26(4). 524–534.e5. 22 indexed citations
11.
Hiesinger, Kerstin, Jan S. Kramer, René Blöcher, et al.. (2019). Design of Dual Inhibitors of Soluble Epoxide Hydrolase and LTA4 Hydrolase. ACS Medicinal Chemistry Letters. 11(3). 298–302. 10 indexed citations
12.
Kramer, Jan S., Sandra K. Wittmann, Jörn Lausen, et al.. (2018). A coupled fluorescence-based assay for the detection of protein arginine N-methyltransferase 6 (PRMT6) enzymatic activity. Analytical Biochemistry. 547. 7–13. 3 indexed citations
13.
Kramer, Jan S., M. Hartmann, Lilia Weizel, et al.. (2018). Discovery of polar spirocyclic orally bioavailable urea inhibitors of soluble epoxide hydrolase. Bioorganic Chemistry. 80. 655–667. 20 indexed citations
14.
Gabler, Matthias, Jan S. Kramer, Jurema Schmidt, et al.. (2018). Allosteric modulation of the farnesoid X receptor by a small molecule. Scientific Reports. 8(1). 6846–6846. 15 indexed citations
15.
Kramer, Jan S. & Ewgenij Proschak. (2017). Phosphatase activity of soluble epoxide hydrolase. Prostaglandins & Other Lipid Mediators. 133. 88–92. 26 indexed citations
16.
Kerssens, Marleen M., Jan S. Kramer, Peter de Peinder, et al.. (2016). Photo-spectroscopy of mixtures of catalyst particles reveals their age and type. Faraday Discussions. 188. 69–79. 10 indexed citations
17.
Wittmann, Sandra K., Jan S. Kramer, Stefan Knapp, et al.. (2016). Thermodynamic properties of leukotriene A4 hydrolase inhibitors. Bioorganic & Medicinal Chemistry. 24(21). 5243–5248. 14 indexed citations
18.
Berkessel, Albrecht, et al.. (2012). Dendritic Fluoroalcohols as Catalysts for Alkene Epoxidation with Hydrogen Peroxide. Angewandte Chemie International Edition. 52(2). 739–743. 45 indexed citations
19.
Schreml, Julia, Markus Rießland, Lutz Garbes, et al.. (2012). Severe SMA mice show organ impairment that cannot be rescued by therapy with the HDACi JNJ-26481585. European Journal of Human Genetics. 21(6). 643–652. 60 indexed citations
20.
Berkessel, Albrecht, et al.. (2012). Dendritische Fluoralkohole als Katalysatoren für die Epoxidierung von Olefinen mit Wasserstoffperoxid. Angewandte Chemie. 125(2). 767–771. 11 indexed citations

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.

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