Martin P. Schwalm

622 total citations
29 papers, 285 citations indexed

About

Martin P. Schwalm is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Martin P. Schwalm has authored 29 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Oncology and 2 papers in Organic Chemistry. Recurrent topics in Martin P. Schwalm's work include Protein Degradation and Inhibitors (15 papers), Ubiquitin and proteasome pathways (12 papers) and Peptidase Inhibition and Analysis (5 papers). Martin P. Schwalm is often cited by papers focused on Protein Degradation and Inhibitors (15 papers), Ubiquitin and proteasome pathways (12 papers) and Peptidase Inhibition and Analysis (5 papers). Martin P. Schwalm collaborates with scholars based in Germany, United States and Canada. Martin P. Schwalm's co-authors include Stefan Knapp, Susanne Müller, Václav Němec, Krishna Saxena, Andreas Krämer, Stefan Laufer, Xufen Yu, A. Chaikuad, Matthias Gehringer and Rahman Shah Zaib Saleem and has published in prestigious journals such as Chemical Society Reviews, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Martin P. Schwalm

23 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin P. Schwalm Germany 10 251 90 41 40 18 29 285
Amit Shraga Israel 7 354 1.4× 67 0.7× 59 1.4× 51 1.3× 19 1.1× 7 387
Matthew J. Henley United States 6 291 1.2× 68 0.8× 38 0.9× 19 0.5× 17 0.9× 14 362
Anna M. Schmoker United States 10 193 0.8× 64 0.7× 31 0.8× 20 0.5× 35 1.9× 24 287
Jacqueline L. Norris‐Drouin United States 11 362 1.4× 85 0.9× 40 1.0× 36 0.9× 6 0.3× 20 392
Inchul You United States 8 305 1.2× 129 1.4× 24 0.6× 62 1.6× 11 0.6× 11 351
Lena M. Berger Germany 9 159 0.6× 70 0.8× 39 1.0× 17 0.4× 19 1.1× 19 234
Marty J. Heslin United States 5 245 1.0× 104 1.2× 33 0.8× 37 0.9× 8 0.4× 7 329
Michael J. Bond United States 6 458 1.8× 227 2.5× 33 0.8× 101 2.5× 10 0.6× 10 496
David Heidenreich Germany 8 214 0.9× 38 0.4× 15 0.4× 63 1.6× 12 0.7× 10 241
Jon A. Oyer United States 9 350 1.4× 48 0.5× 17 0.4× 26 0.7× 16 0.9× 14 414

Countries citing papers authored by Martin P. Schwalm

Since Specialization
Citations

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

Fields of papers citing papers by Martin P. Schwalm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin P. Schwalm. 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 Martin P. Schwalm. The network helps show where Martin P. Schwalm may publish in the future.

Co-authorship network of co-authors of Martin P. Schwalm

This figure shows the co-authorship network connecting the top 25 collaborators of Martin P. Schwalm. A scholar is included among the top collaborators of Martin P. Schwalm 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 Martin P. Schwalm. Martin P. Schwalm 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.
Mitrovic, M., Francesco Greco, Martin P. Schwalm, et al.. (2026). Click. Screen. Degrade. A Miniaturized D2B Workflow for Rapid PROTAC Discovery. Journal of Medicinal Chemistry. 69(3). 2599–2624.
2.
Dederer, Verena, Andreas Krämer, Martin P. Schwalm, et al.. (2025). Type II kinase inhibitors that target Parkinson’s disease–associated LRRK2. Science Advances. 11(23). eadt2050–eadt2050. 6 indexed citations
3.
Kimani, Serah, Martin P. Schwalm, H. Holzmann, et al.. (2025). Discovery of an exquisitely selective WDR5 chemical probe accelerated by a high-quality DEL–ML Hit. RSC Chemical Biology. 6(10). 1585–1594. 1 indexed citations
4.
Schwalm, Martin P., L M Wahl, Andreas Krämer, et al.. (2025). Un-LOK-ing a New Approach for Conformational Selective Targeting of STK10 (LOK). ACS Medicinal Chemistry Letters. 16(11). 2086–2096.
5.
Schwalm, Martin P., Krishna Saxena, Thomas Hanke, et al.. (2025). Crystallographic fragment screening reveals ligand hotspots in TRIM21 PRY-SPRY domain. Communications Chemistry. 8(1). 185–185.
6.
Wolf, Anne, Dominik C. Fuhrmann, Dominique Thomas, et al.. (2025). Inhibition of DYRK1B BY C81 impedes inflammatory processes in leukocytes by reducing STAT3 activity. Cellular and Molecular Life Sciences. 82(1). 85–85. 1 indexed citations
8.
Rudalska, Ramona, Martin P. Schwalm, B.J. Wagner, et al.. (2024). Development of Highly Potent and Selective Covalent FGFR4 Inhibitors Based on S N Ar Electrophiles. Journal of Medicinal Chemistry. 67(8). 6549–6569. 14 indexed citations
9.
Wang, Jianhui, Marcel Heinz, Kang Han, et al.. (2024). Thalidomide derivatives degrade BCL-2 by reprogramming the binding surface of CRBN. Cell Reports Physical Science. 5(5). 101960–101960. 9 indexed citations
10.
Němec, Václav, Pavlína Janovská, Bikash Adhikari, et al.. (2024). Development and Discovery of a Selective Degrader of Casein Kinases 1 δ/ε. Journal of Medicinal Chemistry. 68(1). 506–530.
11.
Saleem, Rahman Shah Zaib, Martin P. Schwalm, & Stefan Knapp. (2024). Expanding the ligand spaces for E3 ligases for the design of protein degraders. Bioorganic & Medicinal Chemistry. 105. 117718–117718. 13 indexed citations
12.
Schwalm, Martin P., Krishna Saxena, Susanne Müller, & Stefan Knapp. (2024). Luciferase- and HaloTag-based reporter assays to measure small-molecule-induced degradation pathway in living cells. Nature Protocols. 19(8). 2317–2357. 12 indexed citations
13.
Schwalm, Martin P., et al.. (2024). High-Throughput Screening for LC3/GABARAP Binders Utilizing the Fluorescence Polarization Assay. Methods in molecular biology. 2845. 203–218. 2 indexed citations
14.
Schwalm, Martin P., et al.. (2024). Thermodynamic Characterization of LC3/GABARAP:Ligand Interactions by Isothermal Titration Calorimetry. Methods in molecular biology. 2845. 219–235. 1 indexed citations
15.
Vasta, James D., et al.. (2024). tracerDB: a crowdsourced fluorescent tracer database for target engagement analysis. Nature Communications. 15(1). 5646–5646. 6 indexed citations
16.
Schwalm, Martin P., Andreas Krämer, Xufen Yu, et al.. (2023). Tracking the PROTAC degradation pathway in living cells highlights the importance of ternary complex measurement for PROTAC optimization. Cell chemical biology. 30(7). 753–765.e8. 35 indexed citations
17.
Schwalm, Martin P., Stefan Knapp, & Vladimir V. Rogov. (2023). Toward effective Atg8‐based ATTECs: Approaches and perspectives. Journal of Cellular Biochemistry. 125(11). e30380–e30380. 3 indexed citations
18.
Kronenberger, Thales, Martin P. Schwalm, Stefan Knapp, et al.. (2022). Development of novel urea-based ATM kinase inhibitors with subnanomolar cellular potency and high kinome selectivity. European Journal of Medicinal Chemistry. 235. 114234–114234. 9 indexed citations
19.
Schwalm, Martin P., Lena M. Berger, James D. Vasta, et al.. (2022). A Toolbox for the Generation of Chemical Probes for Baculovirus IAP Repeat Containing Proteins. Frontiers in Cell and Developmental Biology. 10. 886537–886537. 10 indexed citations
20.
Schwalm, Martin P. & Stefan Knapp. (2022). BET bromodomain inhibitors. Current Opinion in Chemical Biology. 68. 102148–102148. 57 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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