Mathias Leddin

668 total citations
10 papers, 352 citations indexed

About

Mathias Leddin is a scholar working on Molecular Biology, Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mathias Leddin has authored 10 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Health and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mathias Leddin's work include Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), MicroRNA in disease regulation (2 papers) and Social Media in Health Education (2 papers). Mathias Leddin is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), MicroRNA in disease regulation (2 papers) and Social Media in Health Education (2 papers). Mathias Leddin collaborates with scholars based in Switzerland, Germany and United States. Mathias Leddin's co-authors include Jürgen Funk, Markus Neubauer, Ralf Huss, S. Knothe, Ann-Marie E Bröske, Julia Hupfeld, Heike Wegmeyer, Frank Rosenbauer, Raul Rodriguez‐Esteban and George Follows and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Nature Immunology.

In The Last Decade

Mathias Leddin

10 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Leddin Switzerland 6 146 142 90 64 42 10 352
María Fernández-García Spain 8 203 1.4× 109 0.8× 78 0.9× 48 0.8× 36 0.9× 15 315
Abhishek Harichandan Germany 9 186 1.3× 126 0.9× 102 1.1× 28 0.4× 29 0.7× 11 327
Patrícia Viana Bonini Palma Brazil 10 222 1.5× 106 0.7× 123 1.4× 79 1.2× 29 0.7× 13 387
Joana Frobel Germany 8 145 1.0× 230 1.6× 101 1.1× 55 0.9× 69 1.6× 12 362
Daniel García‐Sánchez Spain 8 108 0.7× 100 0.7× 100 1.1× 36 0.6× 16 0.4× 21 303
Matthew Cook Australia 4 216 1.5× 97 0.7× 110 1.2× 28 0.4× 39 0.9× 6 327
Barbora Heřmánková Czechia 12 216 1.5× 169 1.2× 66 0.7× 48 0.8× 16 0.4× 25 454
Athina Damianaki Greece 9 117 0.8× 109 0.8× 48 0.5× 83 1.3× 73 1.7× 14 370
Kilian Kelly Australia 10 271 1.9× 218 1.5× 167 1.9× 51 0.8× 48 1.1× 16 477
Michelle Rae United Kingdom 2 170 1.2× 72 0.5× 83 0.9× 65 1.0× 18 0.4× 2 288

Countries citing papers authored by Mathias Leddin

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Leddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Leddin

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

All Works

10 of 10 papers shown
1.
Cimiano, Philipp, Ben C. Collins, Juergen Gottowik, et al.. (2024). Patient listening on social media for patient-focused drug development: a synthesis of considerations from patients, industry and regulators. Frontiers in Medicine. 11. 1274688–1274688. 6 indexed citations
2.
Schmidt, Ana Lucía, Raul Rodriguez‐Esteban, Juergen Gottowik, & Mathias Leddin. (2022). Applications of quantitative social media listening to patient-centric drug development. Drug Discovery Today. 27(5). 1523–1530. 10 indexed citations
3.
4.
Staunton, Hannah, Louise Newton, Mathias Leddin, et al.. (2021). A Patient-Centered Conceptual Model of Symptoms and Their Impact in Early Parkinson’s Disease: A Qualitative Study. Journal of Parkinson s Disease. 12(1). 137–151. 19 indexed citations
5.
Erpenbeck, Veit J., Tobe Freeman, Raul Rodriguez‐Esteban, Juergen Gottowik, & Mathias Leddin. (2020). Characterizing Subpopulations of COPD Patients Through a Neural Network Analysis of Patient Self-Reports on Social Media. A5079–A5079. 1 indexed citations
6.
Walter, Carolin, Marta Joana Costa Jordão, Mathias Leddin, et al.. (2019). Safeguard function of PU.1 shapes the inflammatory epigenome of neutrophils. Nature Immunology. 20(5). 546–558. 40 indexed citations
7.
Wagg, Jonathan, Oliver Krieter, Chia-Huey Ooi, et al.. (2017). Effect of molecular mechanisms mediating bevacizumab (BEV) and vanucizumab (VAN) on gastrointestinal perforation: Use of artificial neural networks for integrated data analysis.. Journal of Clinical Oncology. 35(15_suppl). e15108–e15108. 1 indexed citations
8.
Bollen, Sander, Mathias Leddin, Miguel A. Andrade‐Navarro, & Nancy Mah. (2014). CAFE: an R package for the detection of gross chromosomal abnormalities from gene expression microarray data. Bioinformatics. 30(10). 1484–1485. 2 indexed citations
9.
Wegmeyer, Heike, Ann-Marie E Bröske, Mathias Leddin, et al.. (2013). Mesenchymal Stromal Cell Characteristics Vary Depending on Their Origin. Stem Cells and Development. 22(19). 2606–2618. 176 indexed citations
10.
Leddin, Mathias, Maarten Hoogenkamp, Saeed Ghani, et al.. (2011). Two distinct auto-regulatory loops operate at the PU.1 locus in B cells and myeloid cells. Blood. 117(10). 2827–2838. 92 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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2026