Maja Köhn

6.0k total citations
121 papers, 4.4k citations indexed

About

Maja Köhn is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Maja Köhn has authored 121 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 19 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Organic Chemistry. Recurrent topics in Maja Köhn's work include Protein Tyrosine Phosphatases (36 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Ubiquitin and proteasome pathways (15 papers). Maja Köhn is often cited by papers focused on Protein Tyrosine Phosphatases (36 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Ubiquitin and proteasome pathways (15 papers). Maja Köhn collaborates with scholars based in Germany, United States and Spain. Maja Köhn's co-authors include Rolf Breinbauer, Xun Li, Christof M. Niemeyer, Herbert Waldmann, Ron Wacker, Pablo Ríos, Christopher J. Portier, Hendrik Schröder, Mathieu Bollen and David Garfinkel and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Maja Köhn

113 papers receiving 4.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maja Köhn	3.1k	1.3k	626	474	448	121	4.4k
Jun Qu	3.3k 1.1×	776 0.6×	575 0.9×	497 1.0×	364 0.8×	160	5.0k
Mark D. Distefano	4.0k 1.3×	1.9k 1.5×	807 1.3×	776 1.6×	287 0.6×	169	6.0k
Anna Maria Papini	1.9k 0.6×	1.0k 0.8×	476 0.8×	315 0.7×	252 0.6×	187	3.1k
A. Chaikuad	2.9k 0.9×	760 0.6×	168 0.3×	784 1.7×	296 0.7×	123	4.4k
Guy Leclercq	2.9k 0.9×	1.6k 1.3×	293 0.5×	2.4k 5.0×	344 0.8×	226	7.1k
Leonard M. Hjelmeland	3.4k 1.1×	193 0.2×	834 1.3×	313 0.7×	278 0.6×	97	5.5k
Michele Saviano	3.5k 1.1×	1.2k 0.9×	287 0.5×	521 1.1×	210 0.5×	292	5.0k
Oded Livnah	2.2k 0.7×	549 0.4×	519 0.8×	520 1.1×	408 0.9×	84	4.2k
Julian A. Simon	3.3k 1.1×	489 0.4×	150 0.2×	710 1.5×	411 0.9×	76	5.7k
Tomoko Okada	2.1k 0.7×	362 0.3×	178 0.3×	550 1.2×	270 0.6×	135	3.6k

Countries citing papers authored by Maja Köhn

Since Specialization

Citations

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

Fields of papers citing papers by Maja Köhn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Köhn

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

All Works

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20 of 20 papers shown

Brehm, Merel‐Anne, Pablo Ríos, Bettina Warscheid, et al.. (2025). Development of a Peptide Inhibitor Targeting the C‐SH2 Domain of the SHP2 Phosphatase. ChemBioChem. 26(10). e202400938–e202400938.

Ludwig, Christina, et al.. (2025). Synthetic trap‐peptides identify a TOM complex phosphatase – PP2A dephosphorylates Tom6. FEBS Journal. 293(1). 271–294.

Ludwig, Christina, et al.. (2024). A strategy to disentangle direct and indirect effects on (de)phosphorylation by chemical modulators of the phosphatase PP1 in complex cellular contexts. Chemical Science. 15(8). 2792–2804. 4 indexed citations

Banerjee, Ipsita, et al.. (2024). LMTK2 switches on canonical TGF-β1 signaling in human bronchial epithelial cells. American Journal of Physiology-Lung Cellular and Molecular Physiology. 327(5). L769–L782.

Köhn, Maja, et al.. (2024). Protein phosphatase-1 regulates the binding of filamin C to FILIP1 in cultured skeletal muscle cells under mechanical stress. Scientific Reports. 14(1). 27348–27348. 1 indexed citations

Köhn, Maja, et al.. (2024). A Modular Approach for the Synthesis of Diverse Heterobifunctional Cyanine Dyes. The Journal of Organic Chemistry. 89(6). 3844–3856. 4 indexed citations

Höhfeld, Jörg, et al.. (2024). Identification of phosphatases that dephosphorylate the co-chaperone BAG3. Life Science Alliance. 8(2). e202402734–e202402734. 1 indexed citations

Ríos, Pablo, et al.. (2023). Measuring Protein Tyrosine Phosphatase Activity Dependent on SH2 Domain-Mediated Regulation. Methods in molecular biology. 2705. 351–358.

Ríos, Pablo, et al.. (2023). Peptides as Baits for the Coprecipitation of SH2 Domain-Containing Proteins. Methods in molecular biology. 2705. 359–369. 1 indexed citations

10.

Pacheco, Jennifer, Hanna J. Wagner, Nikolaus Jork, et al.. (2023). PenTag, a Versatile Platform for Synthesizing Protein‐Polymer Biohybrid Materials. Advanced Functional Materials. 34(35). 5 indexed citations

11.

Yousefi, O. Sascha, et al.. (2021). Cross-TCR Antagonism Revealed by Optogenetically Tuning the Half-Life of the TCR Ligand Binding. International Journal of Molecular Sciences. 22(9). 4920–4920. 6 indexed citations

12.

Schwarz, Jennifer, Kathrin Kläsener, Dávid Medgyesi, et al.. (2021). Quantitative proteomics identifies PTP1B as modulator of B cell antigen receptor signaling. Life Science Alliance. 4(11). e202101084–e202101084. 5 indexed citations

13.

Hartl, Frederike A., Esmeralda Beck-Garcìa, Lea J. Flachsmann, et al.. (2020). Author Correction: Noncanonical binding of Lck to CD3ε promotes TCR signaling and CAR function. Nature Immunology. 22(1). 100–101. 2 indexed citations

14.

Fearnley, Gareth W., et al.. (2020). The receptor PTPRU is a redox sensitive pseudophosphatase. Nature Communications. 11(1). 3219–3219. 22 indexed citations

15.

Hartl, Frederike A., Esmeralda Beck-Garcìa, Lea J. Flachsmann, et al.. (2020). Noncanonical binding of Lck to CD3ε promotes TCR signaling and CAR function. Nature Immunology. 21(8). 902–913. 84 indexed citations

16.

Luján, Pablo, Teresa Rubio, Marco L. Hennrich, et al.. (2016). PRL-3 disrupts epithelial architecture by altering the post-mitotic midbody position. Journal of Cell Science. 129(21). 4130–4142. 26 indexed citations

17.

Köhn, Maja, et al.. (2016). Analyzing gamma/delta T-cell function in chicken by reverse genetics. Transgenic Research. 1 indexed citations

18.

Köhn, Maja & Rolf Breinbauer. (2004). Die Staudinger‐Ligation – ein Geschenk für die Chemische Biologie. Angewandte Chemie. 116(24). 3168–3178. 115 indexed citations

19.

Köhn, Maja & R L Melnick. (2000). The Privileged Access Model of 1,3-Butadiene Disposition. Environmental Health Perspectives. 108(s5). 911–917. 15 indexed citations

20.

Melnick, R L, Maja Köhn, & Christopher J. Portier. (1996). Implications for risk assessment of suggested nongenotoxic mechanisms of chemical carcinogenesis.. Environmental Health Perspectives. 104(suppl 1). 123–134. 79 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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