Lisa Wissler

926 total citations
18 papers, 565 citations indexed

About

Lisa Wissler is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Lisa Wissler has authored 18 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Pharmacology. Recurrent topics in Lisa Wissler's work include Estrogen and related hormone effects (7 papers), Inflammatory mediators and NSAID effects (3 papers) and Protein Structure and Dynamics (2 papers). Lisa Wissler is often cited by papers focused on Estrogen and related hormone effects (7 papers), Inflammatory mediators and NSAID effects (3 papers) and Protein Structure and Dynamics (2 papers). Lisa Wissler collaborates with scholars based in Sweden, United Kingdom and Germany. Lisa Wissler's co-authors include K. A. P. Edman, Stefan Geschwindner, Helena Käck, Niek Dekker, Ewa Nilsson, Anna Aagaard, Jon Read, Anders Gunnarsson, Matti Lepistö and Stefan Bäckström and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Medicinal Chemistry.

In The Last Decade

Lisa Wissler

18 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Wissler Sweden 13 321 121 99 82 67 18 565
Melchor Sánchez-Martínez Spain 14 286 0.9× 59 0.5× 29 0.3× 53 0.6× 89 1.3× 24 573
Anja Berger Germany 15 439 1.4× 43 0.4× 33 0.3× 16 0.2× 58 0.9× 20 583
I. Mita Japan 11 346 1.1× 54 0.4× 90 0.9× 12 0.1× 78 1.2× 13 688
Jinping Pang China 14 275 0.9× 58 0.5× 108 1.1× 192 2.3× 55 0.8× 20 460
Denis McCann United States 15 566 1.8× 149 1.2× 71 0.7× 39 0.5× 85 1.3× 26 826
Yongmi An United States 12 415 1.3× 63 0.5× 309 3.1× 42 0.5× 75 1.1× 12 826
Shi Chung Ng United States 13 352 1.1× 130 1.1× 81 0.8× 26 0.3× 101 1.5× 23 662
Ma’an Amad Canada 7 237 0.7× 47 0.4× 87 0.9× 21 0.3× 45 0.7× 8 483
Martin S. Hoagland United States 6 320 1.0× 181 1.5× 204 2.1× 25 0.3× 88 1.3× 7 647
Xiaoqian Xue China 12 391 1.2× 95 0.8× 59 0.6× 43 0.5× 70 1.0× 16 686

Countries citing papers authored by Lisa Wissler

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Wissler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Wissler

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Wissler. A scholar is included among the top collaborators of Lisa Wissler 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 Lisa Wissler. Lisa Wissler 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.
Iegre, Jessica, Anders Gunnarsson, Lisa Wissler, et al.. (2023). A cell-active cyclic peptide targeting the Nrf2/Keap1 protein–protein interaction. Chemical Science. 14(39). 10800–10805. 8 indexed citations
2.
Postel, Sandra, Lisa Wissler, Carina Johansson, et al.. (2023). Quaternary glucocorticoid receptor structure highlights allosteric interdomain communication. Nature Structural & Molecular Biology. 30(3). 286–295. 20 indexed citations
3.
Sala, Giuseppina La, Christopher Pfleger, Helena Käck, et al.. (2023). Combining structural and coevolution information to unveil allosteric sites. Chemical Science. 14(25). 7057–7067. 13 indexed citations
4.
Geschwindner, Stefan, Patrik Johansson, Lisa Wissler, et al.. (2022). Importance of Binding Site Hydration and Flexibility Revealed When Optimizing a Macrocyclic Inhibitor of the Keap1–Nrf2 Protein–Protein Interaction. Journal of Medicinal Chemistry. 65(4). 3473–3517. 20 indexed citations
5.
Andrei, Sebastian A., K. A. P. Edman, Anders Gunnarsson, et al.. (2022). Designing Selective Drug-like Molecular Glues for the Glucocorticoid Receptor/14-3-3 Protein–Protein Interaction. Journal of Medicinal Chemistry. 65(24). 16818–16828. 9 indexed citations
6.
Maria, Leonardo De, K. A. P. Edman, Anders Gunnarsson, et al.. (2021). Glucocorticoid receptor Thr524 phosphorylation by MINK1 induces interactions with 14-3-3 protein regulators. Journal of Biological Chemistry. 296. 100551–100551. 12 indexed citations
7.
Poongavanam, Vasanthanathan, Björn Over, Stefan Geschwindner, et al.. (2020). Mining Natural Products for Macrocycles to Drug Difficult Targets. Journal of Medicinal Chemistry. 64(2). 1054–1072. 33 indexed citations
8.
Merk, Daniel, Sridhar Sreeramulu, D. Kudlinzki, et al.. (2019). Molecular tuning of farnesoid X receptor partial agonism. Nature Communications. 10(1). 2915–2915. 78 indexed citations
9.
Witten, Michael R., Lisa Wissler, Stefan Geschwindner, et al.. (2017). X-ray Characterization and Structure-Based Optimization of Striatal-Enriched Protein Tyrosine Phosphatase Inhibitors. Journal of Medicinal Chemistry. 60(22). 9299–9319. 25 indexed citations
10.
Berger, Markus, Hartmut Rehwinkel, Norbert Schmees, et al.. (2016). Discovery of new selective glucocorticoid receptor agonist leads. Bioorganic & Medicinal Chemistry Letters. 27(3). 437–442. 10 indexed citations
11.
Kettle, Jason G., Michał Biśta, J. Breed, et al.. (2016). Potent and Selective Inhibitors of MTH1 Probe Its Role in Cancer Cell Survival. Journal of Medicinal Chemistry. 59(6). 2346–2361. 100 indexed citations
12.
Edman, K. A. P., Matti Lepistö, Anders Eriksson, et al.. (2016). Discovery of indazole ethers as novel, potent, non-steroidal glucocorticoid receptor modulators. Bioorganic & Medicinal Chemistry Letters. 26(23). 5741–5748. 14 indexed citations
13.
Edman, K. A. P., Ali Hosseini, Magnus Bjursell, et al.. (2015). Ligand Binding Mechanism in Steroid Receptors: From Conserved Plasticity to Differential Evolutionary Constraints. Structure. 23(12). 2280–2290. 83 indexed citations
14.
Edfeldt, Fredrik, Johan Evenäs, Matti Lepistö, et al.. (2015). Identification of indole inhibitors of human hematopoietic prostaglandin D2 synthase (hH-PGDS). Bioorganic & Medicinal Chemistry Letters. 25(12). 2496–2500. 12 indexed citations
15.
Edman, K. A. P., Stefan Bäckström, Jan Dahmén, et al.. (2014). The discovery of potent and selective non-steroidal glucocorticoid receptor modulators, suitable for inhalation. Bioorganic & Medicinal Chemistry Letters. 24(11). 2571–2577. 27 indexed citations
16.
Xue, Yafeng, et al.. (2013). X‐ray Structural Analysis of Tau‐Tubulin Kinase 1 and Its Interactions with Small Molecular Inhibitors. ChemMedChem. 8(11). 1846–1854. 28 indexed citations
17.
Edman, K. A. P., Mark Furber, Paul Hemsley, et al.. (2011). The Discovery of MMP7 Inhibitors Exploiting a Novel Selectivity Trigger. ChemMedChem. 6(5). 769–773. 36 indexed citations
18.
Wissler, Lisa, Emanuela Dattolo, Andrew D. Moore, et al.. (2009). Dr. Zompo: an online data repository for Zostera marina and Posidonia oceanica ESTs. Database. 2009(0). bap009–bap009. 37 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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