Raphael Reher

3.3k total citations · 2 hit papers
18 papers, 1.2k citations indexed

About

Raphael Reher is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Raphael Reher has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Pharmacology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Raphael Reher's work include Microbial Natural Products and Biosynthesis (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Protein Structure and Dynamics (3 papers). Raphael Reher is often cited by papers focused on Microbial Natural Products and Biosynthesis (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Protein Structure and Dynamics (3 papers). Raphael Reher collaborates with scholars based in Germany, United States and France. Raphael Reher's co-authors include William H. Gerwick, Pieter C. Dorrestein, Louis‐Félix Nothias, Daniel Petras, Markus Fleischauer, Juho Rousu, Marcus Ludwig, Martin Hoffmann, Sebastian Böcker and Kai Dührkop and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Biotechnology.

In The Last Decade

Raphael Reher

18 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra

2020 467 citations Kai Dührkop, Louis‐Félix Nothias et al. Nature Biotechnology profile →
NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products

2021 264 citations Hyun Woo Kim, Mingxun Wang et al. Journal of Natural Products profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raphael Reher Germany	13	749	280	165	141	139	18	1.2k
Pierre‐Marie Allard Switzerland	23	1.0k 1.4×	389 1.4×	424 2.6×	185 1.3×	200 1.4×	60	1.9k
Markus Fleischauer Germany	7	1.3k 1.7×	243 0.9×	288 1.7×	194 1.4×	405 2.9×	9	2.0k
Evgenia Glukhov United States	19	1.0k 1.4×	588 2.1×	109 0.7×	87 0.6×	106 0.8×	56	1.7k
Marcus Ludwig Germany	10	1.4k 1.8×	248 0.9×	291 1.8×	214 1.5×	432 3.1×	16	2.1k
Laura M. Sanchez United States	20	1.1k 1.4×	584 2.1×	290 1.8×	54 0.4×	240 1.7×	68	1.9k
Joe Wandy United Kingdom	12	763 1.0×	197 0.7×	102 0.6×	116 0.8×	212 1.5×	18	962
Anelize Bauermeister Brazil	17	639 0.9×	300 1.1×	172 1.0×	30 0.2×	52 0.4×	48	1.2k
Katherine Duncan United Kingdom	19	676 0.9×	556 2.0×	100 0.6×	63 0.4×	35 0.3×	34	1.0k
Amanda M. Fenner United States	7	427 0.6×	333 1.2×	70 0.4×	41 0.3×	71 0.5×	10	729
Grégory Genta‐Jouve France	27	798 1.1×	557 2.0×	231 1.4×	81 0.6×	134 1.0×	104	2.0k

Countries citing papers authored by Raphael Reher

Since Specialization

Citations

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

Fields of papers citing papers by Raphael Reher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphael Reher

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

All Works

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18 of 18 papers shown

Alexander, Kelsey L., C. Benjamin Naman, Arihiro Iwasaki, et al.. (2025). Fatuamide A, a Hybrid PKS/NRPS Metallophore from a Leptolyngbya sp. Marine Cyanobacterium Collected in American Samoa. Journal of Natural Products. 88(2). 322–335. 2 indexed citations

Petras, Daniel, et al.. (2024). A MassQL-Integrated Molecular Networking Approach for the Discovery and Substructure Annotation of Bioactive Cyclic Peptides. Journal of Natural Products. 87(4). 692–704. 7 indexed citations

Stincone, Paolo, et al.. (2023). Decoding the molecular interplay in the central dogma: An overview of mass spectrometry‐based methods to investigate protein‐metabolite interactions. PROTEOMICS. 24(12-13). e2200533–e2200533. 4 indexed citations

Kim, Hyun Woo, Chen Zhang, Raphael Reher, et al.. (2023). DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data. Journal of Cheminformatics. 15(1). 71–71. 28 indexed citations

Leão, Tiago, Mingxun Wang, Ricardo Silva, et al.. (2022). NPOmix: A machine learning classifier to connect mass spectrometry fragmentation data to biosynthetic gene clusters. PNAS Nexus. 1(5). pgac257–pgac257. 16 indexed citations

Taton, Arnaud, Sebastian Rohrer, Raphael Reher, et al.. (2022). Heterologous Expression in Anabaena of the Columbamide Pathway from the Cyanobacterium Moorena bouillonii and Production of New Analogs. ACS Chemical Biology. 17(7). 1910–1923. 11 indexed citations

Kim, Hyun Woo, Mingxun Wang, Christopher A. Leber, et al.. (2021). NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products. Journal of Natural Products. 84(11). 2795–2807. 264 indexed citations breakdown →

Voss, Jan, Mitja M. Zdouc, Stefan Kehraus, et al.. (2021). Feature-Based Molecular Networking for the Targeted Identification of G_q-Inhibiting FR900359 Derivatives. Journal of Natural Products. 84(7). 1941–1953. 9 indexed citations

Dührkop, Kai, Louis‐Félix Nothias, Markus Fleischauer, et al.. (2020). Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra. Nature Biotechnology. 39(4). 462–471. 467 indexed citations breakdown →

10.

Reher, Raphael, Hyun Woo Kim, Chen Zhang, et al.. (2020). A Convolutional Neural Network-Based Approach for the Rapid Annotation of Molecularly Diverse Natural Products. Journal of the American Chemical Society. 142(9). 4114–4120. 142 indexed citations

11.

Taton, Arnaud, Nathan A. Moss, Brooke Anderson, et al.. (2020). Heterologous Expression of Cryptomaldamide in a Cyanobacterial Host. ACS Synthetic Biology. 9(12). 3364–3376. 30 indexed citations

12.

Malfacini, Davide, Suvi Annala, Kasper Harpsøe, et al.. (2019). Rational design of a heterotrimeric G protein α subunit with artificial inhibitor sensitivity. Journal of Biological Chemistry. 294(15). 5747–5758. 25 indexed citations

13.

Namasivayam, Vigneshwaran, Muhammad Rafehi, Jan Voss, et al.. (2019). Cell‐permeable high‐affinity tracers for G_q proteins provide structural insights, reveal distinct binding kinetics and identify small molecule inhibitors. British Journal of Pharmacology. 177(8). 1898–1916. 20 indexed citations

14.

Tietze, Daniel, et al.. (2019). Structural and Dynamical Basis of G Protein Inhibition by YM-254890 and FR900359: An Inhibitor in Action. Journal of Chemical Information and Modeling. 59(10). 4361–4373. 24 indexed citations

15.

Boudreau, Paul D., Bailey W. Miller, Laura‐Isobel McCall, et al.. (2019). Design of Gallinamide A Analogs as Potent Inhibitors of the Cysteine Proteases Human Cathepsin L and Trypanosoma cruzi Cruzain. Journal of Medicinal Chemistry. 62(20). 9026–9044. 37 indexed citations

16.

Reher, Raphael, Toni Kühl, Suvi Annala, et al.. (2018). Deciphering Specificity Determinants for FR900359‐Derived G_qα Inhibitors Based on Computational and Structure–Activity Studies. ChemMedChem. 13(16). 1634–1643. 31 indexed citations

17.

Reher, Raphael, Nina Heycke, Suvi Annala, et al.. (2018). Applying Molecular Networking for the Detection of Natural Sources and Analogues of the Selective Gq Protein Inhibitor FR900359. Journal of Natural Products. 81(7). 1628–1635. 26 indexed citations

18.

Carlier, Aurélien, Marta Pinto‐Carbó, Till F. Schäberle, et al.. (2015). The genome analysis of C andidatus B urkholderia crenata reveals that secondary metabolism may be a key function of the A rdisia crenata leaf nodule symbiosis. Environmental Microbiology. 18(8). 2507–2522. 47 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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