Daniel Krahn

885 total citations
18 papers, 607 citations indexed

About

Daniel Krahn is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Daniel Krahn has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Plant Science and 4 papers in Oncology. Recurrent topics in Daniel Krahn's work include Ubiquitin and proteasome pathways (5 papers), Studies on Chitinases and Chitosanases (4 papers) and Peptidase Inhibition and Analysis (4 papers). Daniel Krahn is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Studies on Chitinases and Chitosanases (4 papers) and Peptidase Inhibition and Analysis (4 papers). Daniel Krahn collaborates with scholars based in Germany, United States and United Kingdom. Daniel Krahn's co-authors include Markus Kaiser, Jérôme Clerc, Erich Kombrink, Christian Ottmann, Christopher T. Walsh, H.J. Imker, Renier A. L. van der Hoorn, Dae‐Yeon Suh, Pierrette Geoffroy and Benjamin Lallemand and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Daniel Krahn

18 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Krahn Germany 11 449 322 117 75 52 18 607
Jung‐Hyun Huh United States 8 322 0.7× 318 1.0× 117 1.0× 17 0.2× 22 0.4× 8 576
Ivana Saska Australia 9 784 1.7× 351 1.1× 68 0.6× 59 0.8× 74 1.4× 10 823
Carsten Kegler Germany 16 587 1.3× 195 0.6× 326 2.8× 93 1.2× 34 0.7× 20 863
Ling He China 14 205 0.5× 222 0.7× 53 0.5× 32 0.4× 12 0.2× 32 411
Dominik A. Herbst United States 10 368 0.8× 88 0.3× 303 2.6× 53 0.7× 14 0.3× 11 508
Soohyun Um South Korea 11 293 0.7× 64 0.2× 292 2.5× 101 1.3× 35 0.7× 33 653
James E. Curotto United States 7 270 0.6× 105 0.3× 85 0.7× 111 1.5× 15 0.3× 7 474
C W Moore United States 18 607 1.4× 187 0.6× 36 0.3× 36 0.5× 104 2.0× 38 765
Matthias Schiell Germany 10 212 0.5× 51 0.2× 148 1.3× 59 0.8× 14 0.3× 15 383
Anthony de Waal Netherlands 12 495 1.1× 109 0.3× 62 0.5× 81 1.1× 7 0.1× 14 648

Countries citing papers authored by Daniel Krahn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Krahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Krahn

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

All Works

18 of 18 papers shown
1.
Sanguankiattichai, Nattapong, Balakumaran Chandrasekar, Yuewen Sheng, et al.. (2025). Bacterial pathogen deploys the iminosugar glycosyrin to manipulate plant glycobiology. Science. 388(6744). 297–303. 1 indexed citations
2.
Sueldo, Daniela J., Farnusch Kaschani, Daniel Krahn, et al.. (2023). Activity‐based proteomics uncovers suppressed hydrolases and a neo‐functionalised antibacterial enzyme at the plant–pathogen interface. New Phytologist. 241(1). 394–408. 10 indexed citations
3.
Morimoto, Kyoko, Daniel Krahn, Farnusch Kaschani, et al.. (2022). Broad‐range metalloprotease profiling in plants uncovers immunity provided by defence‐related metalloenzyme. New Phytologist. 235(3). 1287–1301. 3 indexed citations
4.
Krahn, Daniel, Kyoko Morimoto, Marko Novinec, et al.. (2022). Activity-based probes trap early active intermediates during metacaspase activation. iScience. 25(11). 105247–105247. 3 indexed citations
5.
Piotrowski, Markus, Judith K. Paulus, Daniel Krahn, et al.. (2021). The chemical compound ‘Heatin’ stimulates hypocotyl elongation and interferes with the Arabidopsis NIT1‐subfamily of nitrilases. The Plant Journal. 106(6). 1523–1540. 12 indexed citations
6.
Paulus, Judith K., Jiorgos Kourelis, Felix Homma, et al.. (2020). Extracellular proteolytic cascade in tomato activates immune protease Rcr3. Proceedings of the National Academy of Sciences. 117(29). 17409–17417. 59 indexed citations
7.
Krahn, Daniel, Felix C. E. Vogel, Chrisovalantis Papadopoulos, et al.. (2020). Zelkovamycin is an OXPHOS Inhibitory Member of the Argyrin Natural Product Family. Chemistry - A European Journal. 26(39). 8524–8531. 7 indexed citations
8.
Morimoto, Kyoko, Jiorgos Kourelis, D. S. Brown, et al.. (2019). Triazine Probes Target Ascorbate Peroxidases in Plants. PLANT PHYSIOLOGY. 180(4). 1848–1859. 5 indexed citations
9.
Meesters, Christian, Daniel Krahn, Corey S. Westfall, et al.. (2014). A chemical inhibitor of jasmonate signaling targets JAR1 in Arabidopsis thaliana. Nature Chemical Biology. 10(10). 830–836. 71 indexed citations
10.
Kaschani, Farnusch, Jérôme Clerc, Daniel Krahn, et al.. (2012). Identification of a Selective, Activity‐Based Probe for Glyceraldehyde 3‐Phosphate Dehydrogenases. Angewandte Chemie International Edition. 51(21). 5230–5233. 17 indexed citations
11.
Kaschani, Farnusch, Jérôme Clerc, Daniel Krahn, et al.. (2012). Identifizierung einer selektiven aktivitätsbasierten Sonde für Glycerinaldehyd‐3‐phosphat‐Dehydrogenasen. Angewandte Chemie. 124(21). 5320–5324. 2 indexed citations
12.
Krahn, Daniel, Christian Ottmann, & Markus Kaiser. (2011). The chemistry and biology of syringolins, glidobactins and cepafungins (syrbactins). Natural Product Reports. 28(11). 1854–1854. 47 indexed citations
13.
Krahn, Daniel, et al.. (2011). Macrocyclic Proteasome Inhibitors. Current Medicinal Chemistry. 18(33). 5052–5060. 13 indexed citations
14.
Wuest, William M., Daniel Krahn, Markus Kaiser, & Christopher T. Walsh. (2011). Enzymatic Timing and Tailoring of Macrolactamization in Syringolin Biosynthesis. Organic Letters. 13(17). 4518–4521. 10 indexed citations
15.
Imker, H.J., Daniel Krahn, Jérôme Clerc, Markus Kaiser, & Christopher T. Walsh. (2010). N-Acylation during Glidobactin Biosynthesis by the Tridomain Nonribosomal Peptide Synthetase Module GlbF. Chemistry & Biology. 17(10). 1077–1083. 78 indexed citations
16.
Clerc, Jérôme, Nan Li, Daniel Krahn, et al.. (2010). The natural product hybrid of Syringolin A and Glidobactin A synergizes proteasome inhibition potency with subsite selectivity. Chemical Communications. 47(1). 385–387. 44 indexed citations
17.
Kim, Sung Soo, Etienne Grienenberger, Benjamin Lallemand, et al.. (2010). LAP6/POLYKETIDE SYNTHASE AandLAP5/POLYKETIDE SYNTHASE BEncode Hydroxyalkyl α-Pyrone Synthases Required for Pollen Development and Sporopollenin Biosynthesis inArabidopsis thaliana     . The Plant Cell. 22(12). 4045–4066. 169 indexed citations
18.
Kołodziejek, Izabella, Johana C. Misas Villamil, Farnusch Kaschani, et al.. (2010). Proteasome Activity Imaging and Profiling Characterizes Bacterial Effector Syringolin A . PLANT PHYSIOLOGY. 155(1). 477–489. 56 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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