Michael Kiffe

947 total citations
22 papers, 459 citations indexed

About

Michael Kiffe is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Michael Kiffe has authored 22 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Organic Chemistry and 7 papers in Oncology. Recurrent topics in Michael Kiffe's work include Analytical Chemistry and Chromatography (6 papers), Cancer Treatment and Pharmacology (6 papers) and Synthetic Organic Chemistry Methods (5 papers). Michael Kiffe is often cited by papers focused on Analytical Chemistry and Chromatography (6 papers), Cancer Treatment and Pharmacology (6 papers) and Synthetic Organic Chemistry Methods (5 papers). Michael Kiffe collaborates with scholars based in Switzerland, Germany and China. Michael Kiffe's co-authors include Gerhard Höfle, Michael Sefkow, Peter Christen, Andreas Weiss, P. Arni, Daniel Graf, Dietmar Schummer, R. Assenberg, Eva Altmann and Nicole Glaser and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Analytical Chemistry.

In The Last Decade

Michael Kiffe

21 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Kiffe Switzerland 12 282 166 99 55 46 22 459
Nóra Kucsma Hungary 14 207 0.7× 252 1.5× 43 0.4× 31 0.6× 47 1.0× 27 486
Vyacheslav G. Tribulovich Russia 12 242 0.9× 178 1.1× 101 1.0× 45 0.8× 13 0.3× 37 426
Weiyan Cheng China 13 304 1.1× 144 0.9× 113 1.1× 20 0.4× 23 0.5× 25 499
Richard Wiegand United States 13 172 0.6× 145 0.9× 45 0.5× 30 0.5× 37 0.8× 23 403
Natalie M. G. M. Appels Netherlands 7 222 0.8× 103 0.6× 62 0.6× 19 0.3× 42 0.9× 11 396
Jean‐Philippe Annereau France 12 323 1.1× 116 0.7× 86 0.9× 54 1.0× 10 0.2× 17 468
Youlu Pan China 14 262 0.9× 122 0.7× 219 2.2× 24 0.4× 9 0.2× 38 609
Michael V. Fiandalo United States 12 268 1.0× 72 0.4× 82 0.8× 23 0.4× 13 0.3× 21 464
Lei Du‐Cuny United States 12 333 1.2× 51 0.3× 85 0.9× 18 0.3× 24 0.5× 14 467
R.E.C. Henrar Netherlands 14 244 0.9× 125 0.8× 116 1.2× 8 0.1× 32 0.7× 23 448

Countries citing papers authored by Michael Kiffe

Since Specialization
Citations

This map shows the geographic impact of Michael Kiffe'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 Michael Kiffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kiffe more than expected).

Fields of papers citing papers by Michael Kiffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Kiffe. 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 Michael Kiffe. The network helps show where Michael Kiffe may publish in the future.

Co-authorship network of co-authors of Michael Kiffe

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kiffe. A scholar is included among the top collaborators of Michael Kiffe 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 Michael Kiffe. Michael Kiffe 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
1.
Thoma, Gebhard, Christian Märkert, Wolfgang Miltz, et al.. (2023). Discovery of Amino Alcohols as Highly Potent, Selective, and Orally Efficacious Inhibitors of Leukotriene A4 Hydrolase. Journal of Medicinal Chemistry. 66(23). 16410–16425. 3 indexed citations
2.
Zhang, Jiang-Wei, Michael Kiffe, Markus Walles, et al.. (2021). Preclinical pharmacokinetics and metabolism of MAK683, a clinical stage selective oral embryonic ectoderm development (EED) inhibitor for cancer treatment. Xenobiotica. 52(1). 65–78. 7 indexed citations
3.
Weiss, Andreas, Frédéric Stauffer, Henrik Möbitz, et al.. (2020). Abstract 1770: A new DOT1L inhibitor with in vivo activity in mouse models of MLL-translocated leukemia. Cancer Research. 80(16_Supplement). 1770–1770.
4.
Stauffer, Frédéric, Andreas Weiss, Clemens Scheufler, et al.. (2019). New Potent DOT1L Inhibitors for in Vivo Evaluation in Mouse. ACS Medicinal Chemistry Letters. 10(12). 1655–1660. 27 indexed citations
5.
Rigel, Dean F., Bérengère Dumotier, David A. Sykes, et al.. (2019). Pharmacological Characterization of a Novel 5-Hydroxybenzothiazolone-Derived β2-Adrenoceptor Agonist with Functional Selectivity for Anabolic Effects on Skeletal Muscle Resulting in a Wider Cardiovascular Safety Window in Preclinical Studies. Journal of Pharmacology and Experimental Therapeutics. 369(2). 188–199. 15 indexed citations
6.
Chen, Chao, Hugh Zhu, Frédéric Stauffer, et al.. (2016). Discovery of Novel Dot1L Inhibitors through a Structure-Based Fragmentation Approach. ACS Medicinal Chemistry Letters. 7(8). 735–740. 51 indexed citations
7.
Schlierf, Anita, Eva Altmann, Jean Quancard, et al.. (2016). Targeted inhibition of the COP9 signalosome for treatment of cancer. Nature Communications. 7(1). 13166–13166. 125 indexed citations
8.
9.
Kiffe, Michael, Dietmar G. Schmid, & Gerard Bruin. (2008). Radioactivity Detectors for High-Performance Liquid Chromatography in Drug Metabolism Studies. Journal of Liquid Chromatography & Related Technologies. 31(11-12). 1593–1619. 10 indexed citations
10.
Kiffe, Michael, et al.. (2007). Two‐dimensional liquid chromatography/mass spectrometry set‐up for structural elucidation of metabolites in complex biological matrices. Rapid Communications in Mass Spectrometry. 21(6). 961–970. 11 indexed citations
13.
Kiffe, Michael, Peter Christen, & P. Arni. (2003). Characterization of cytotoxic and genotoxic effects of different compounds in CHO K5 cells with the comet assay (single-cell gel electrophoresis assay). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 537(2). 151–168. 34 indexed citations
15.
Regueiro‐Ren, Alicia, Kenneth J. Leavitt, Soong‐Hoon Kim, et al.. (2002). SAR and pH Stability of Cyano-Substituted Epothilones. Organic Letters. 4(22). 3815–3818. 35 indexed citations
16.
Höfle, Gerhard, Nicole Glaser, Michael Kiffe, et al.. (1999). N-Oxidation of Epothilone A-C andO-Acyl Rearrangement to C-19- and C-21-Substituted Epothilones. Angewandte Chemie International Edition. 38(13-14). 1971–1974. 36 indexed citations
17.
Höfle, Gerhard, Nicole Glaser, Michael Kiffe, et al.. (1999). N-Oxidation von Epothilon A–C undO-Acylumlagerung zu C-19- und C-21-substituierten Epothilonen. Angewandte Chemie. 111(13-14). 2090–2093. 9 indexed citations
18.
Sefkow, Michael, Michael Kiffe, & Gerhard Höfle. (1998). Derivatization of the C12 C13 functional groups of epothilones A, B and C. Bioorganic & Medicinal Chemistry Letters. 8(21). 3031–3036. 23 indexed citations
19.
Sefkow, Michael, Michael Kiffe, Dietmar Schummer, & Gerhard Höfle. (1998). Oxidative and reductive transformations of epothilone A. Bioorganic & Medicinal Chemistry Letters. 8(21). 3025–3030. 21 indexed citations
20.
Kiffe, Michael, Dietmar Schummer, & Gerhard Höfle. (1997). Antibiotics from Gliding Bacteria, LXXIX. – Chemical Modification of the Antifungal Macrolide Soraphen A: Deoxygenation in the South‐East Ring Segment. Liebigs Annalen. 1997(1). 245–252. 8 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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