Stefan T. Arold

12.2k total citations · 1 hit paper
172 papers, 5.8k citations indexed

About

Stefan T. Arold is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Stefan T. Arold has authored 172 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 21 papers in Cell Biology and 21 papers in Genetics. Recurrent topics in Stefan T. Arold's work include HIV Research and Treatment (17 papers), Protein Kinase Regulation and GTPase Signaling (16 papers) and Protein Structure and Dynamics (14 papers). Stefan T. Arold is often cited by papers focused on HIV Research and Treatment (17 papers), Protein Kinase Regulation and GTPase Signaling (16 papers) and Protein Structure and Dynamics (14 papers). Stefan T. Arold collaborates with scholars based in Saudi Arabia, France and United States. Stefan T. Arold's co-authors include John E. Ladbury, Andreas S. Baur, M.E.M. Noble, Christian Dumas, François Hoh, M.K. Hoellerer, Gilles Labesse, Paul G. Leonard, Afaque A. Momin and Escarlet Díaz‐Galicia and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Stefan T. Arold

163 papers receiving 5.7k citations

Hit Papers

Rapid single-molecule detection of COVID-19 and MERS anti... 2021 2026 2022 2024 2021 100 200 300

Peers

Stefan T. Arold
Raymond J. Owens United Kingdom
Rebecca L. Rich United States
Zhong Li China
Robert Esnouf United Kingdom
Kevin S. Johnson United Kingdom
Ronald Frank Germany
Frank R. Masiarz United States
E.A. Stura France
Raymond J. Owens United Kingdom
Stefan T. Arold
Citations per year, relative to Stefan T. Arold Stefan T. Arold (= 1×) peers Raymond J. Owens

Countries citing papers authored by Stefan T. Arold

Since Specialization
Citations

This map shows the geographic impact of Stefan T. Arold'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 Stefan T. Arold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan T. Arold more than expected).

Fields of papers citing papers by Stefan T. Arold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan T. Arold. 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 Stefan T. Arold. The network helps show where Stefan T. Arold may publish in the future.

Co-authorship network of co-authors of Stefan T. Arold

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan T. Arold. A scholar is included among the top collaborators of Stefan T. Arold 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 Stefan T. Arold. Stefan T. Arold 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.
Moreno, Juan C., Umar F. Shahul Hameed, Aparna Balakrishna, et al.. (2025). Arabidopsis response to the apocarotenoid zaxinone involves interference with strigolactone signaling via binding to DWARF14. Nature Communications. 16(1). 8789–8789. 1 indexed citations
2.
Guzmán‐Vega, Francisco J. & Stefan T. Arold. (2024). AlphaCRV: a pipeline for identifying accurate binder topologies in mass-modeling with AlphaFold. Bioinformatics Advances. 4(1). vbae131–vbae131. 2 indexed citations
3.
Kulmanov, Maxat, Francisco J. Guzmán‐Vega, Paula Duek, et al.. (2024). Protein function prediction as approximate semantic entailment. Nature Machine Intelligence. 6(2). 220–228. 45 indexed citations
4.
Eliason, Steven, Sissades Tongsima, Bjørn R. Olsen, et al.. (2023). Genetic Variants in Protein Tyrosine Phosphatase Non-Receptor Type 23 Are Responsible for Mesiodens Formation. Biology. 12(3). 393–393. 4 indexed citations
5.
Lin, Chi‐Chuan, Łukasz Wieteska, G. Poncet-Montange, et al.. (2023). The combined action of the intracellular regions regulates FGFR2 kinase activity. Communications Biology. 6(1). 728–728. 2 indexed citations
6.
Guo, Keying, Raik Grünberg, Yuxiang Ren, et al.. (2023). SpyDirect: A Novel Biofunctionalization Method for High Stability and Longevity of Electronic Biosensors. Advanced Science. 11(27). e2306716–e2306716. 6 indexed citations
7.
Bohlega, Saeed, et al.. (2023). Expanding the genotype-phenotype landscape of PDE10A-associated movement disorders. Parkinsonism & Related Disorders. 108. 105323–105323. 2 indexed citations
8.
Al‐Rasheed, Maha, Mustafa A. Salih, Futwan Al‐Mohanna, et al.. (2022). Clinical, genetic, and functional characterization of the glycine receptor β-subunit A455P variant in a family affected by hyperekplexia syndrome. Journal of Biological Chemistry. 298(7). 102018–102018. 2 indexed citations
9.
Khan, Amjad, Anne Molitor, Sylvain Mayeur, et al.. (2021). A Homozygous Missense Variant in PPP1R1B/DARPP‐32 Is Associated With Generalized Complex Dystonia. Movement Disorders. 37(2). 365–374. 9 indexed citations
10.
Hameed, Umar F. Shahul, Muhammad Jamil, Jian You Wang, et al.. (2021). Rational design ofStriga hermonthica-specific seed germination inhibitors. PLANT PHYSIOLOGY. 188(2). 1369–1384. 19 indexed citations
11.
Naveed, Hammad, et al.. (2021). Identifying Novel Drug Targets by iDTPnd: A Case Study of Kinase Inhibitors. Genomics Proteomics & Bioinformatics. 19(6). 986–997. 2 indexed citations
13.
Alam, Tanvir, Meshari Alazmi, Afaque A. Momin, et al.. (2019). Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs. Bioinformatics. 36(4). 1121–1128. 8 indexed citations
14.
Fischer, Johannes, Anand N. P. Radhakrishnan, Meina Liu, et al.. (2019). Robust and Versatile Host Protein for the Design and Evaluation of Artificial Metal Centers. ACS Catalysis. 9(12). 11371–11380. 10 indexed citations
15.
Adam, Liana, F. Anthony San Lucas, Richard Fowler, et al.. (2018). DNA Sequencing of Small Bowel Adenocarcinomas Identifies Targetable Recurrent Mutations in the ERBB2 Signaling Pathway. Clinical Cancer Research. 25(2). 641–651. 19 indexed citations
16.
Karan, Ram, S. Bäder, Annika Frank, et al.. (2017). Identification and Experimental Characterization of an Extremophilic Brine Pool Alcohol Dehydrogenase from Single Amplified Genomes. ACS Chemical Biology. 13(1). 161–170. 21 indexed citations
17.
Arold, Stefan T., Paul G. Leonard, Gary N. Parkinson, & John E. Ladbury. (2010). H-NS forms a superhelical protein scaffold for DNA condensation. Proceedings of the National Academy of Sciences. 107(36). 15728–15732. 163 indexed citations
18.
Paronetto, Maria Paola, Sandrine Opi, Stéphane Audebert, et al.. (2009). Alternative Splicing Modulates Autoinhibition and SH3 Accessibility in the Src Kinase Fyn. Molecular and Cellular Biology. 29(24). 6438–6448. 28 indexed citations
19.
Bouillaut, Laurent, Stéphane Perchat, Stefan T. Arold, et al.. (2008). Molecular basis for group-specific activation of the virulence regulator PlcR by PapR heptapeptides. Nucleic Acids Research. 36(11). 3791–3801. 84 indexed citations
20.
Declerck, Nathalie, Laurent Bouillaut, Nathalie Rugani, et al.. (2007). Structure of PlcR: Insights into virulence regulation and evolution of quorum sensing in Gram-positive bacteria. Proceedings of the National Academy of Sciences. 104(47). 18490–18495. 127 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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