Michael Landowski

878 total citations
17 papers, 482 citations indexed

About

Michael Landowski is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Landowski has authored 17 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Ophthalmology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Landowski's work include Retinal Diseases and Treatments (8 papers), RNA modifications and cancer (4 papers) and Retinal Imaging and Analysis (4 papers). Michael Landowski is often cited by papers focused on Retinal Diseases and Treatments (8 papers), RNA modifications and cancer (4 papers) and Retinal Imaging and Analysis (4 papers). Michael Landowski collaborates with scholars based in United States, Poland and France. Michael Landowski's co-authors include Catherine Bowes Rickman, Mikael Klingeborn, Una Kelly, Marybeth Groelle, Jindong Ding, Christopher Buros, Adrianna Vlachos, Eva Atsidaftos, Jeffrey M. Lipton and Colin A. Sieff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Landowski

16 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Landowski United States 11 326 172 84 74 49 17 482
Katharina E. Schmid‐Kubista Austria 10 173 0.5× 330 1.9× 104 1.2× 292 3.9× 33 0.7× 15 542
Salome Murinello United States 7 196 0.6× 144 0.8× 81 1.0× 93 1.3× 26 0.5× 11 365
J. Fant United States 8 263 0.8× 237 1.4× 30 0.4× 207 2.8× 21 0.4× 10 511
Chikako Tsutsumi Japan 5 169 0.5× 250 1.5× 103 1.2× 98 1.3× 33 0.7× 5 401
Amde Selassie Shifera United States 12 122 0.4× 186 1.1× 55 0.7× 65 0.9× 19 0.4× 29 389
Chikako Tsutsumi‐Miyahara Japan 6 175 0.5× 160 0.9× 162 1.9× 105 1.4× 98 2.0× 6 449
Sara Samuel United States 9 186 0.6× 61 0.4× 107 1.3× 63 0.9× 41 0.8× 10 384
Shuxin Fan China 12 271 0.8× 76 0.4× 39 0.5× 53 0.7× 21 0.4× 19 427
Hema L. Ramkumar United States 12 253 0.8× 366 2.1× 42 0.5× 189 2.6× 66 1.3× 27 593
Ruchi Sharma United States 6 113 0.3× 73 0.4× 59 0.7× 49 0.7× 15 0.3× 16 289

Countries citing papers authored by Michael Landowski

Since Specialization
Citations

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

Fields of papers citing papers by Michael Landowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Landowski

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

All Works

17 of 17 papers shown
1.
Landowski, Michael, Sakae Ikeda, & Akihiro Ikeda. (2025). Association Between C22:5-Containing Lipids and RPE Pathologies in Mice with Tmem135 Overexpression. Advances in experimental medicine and biology. 1468. 207–212.
2.
Landowski, Michael, et al.. (2024). Roles of transmembrane protein 135 in mitochondrial and peroxisomal functions - implications for age-related retinal disease. SHILAP Revista de lepidopterología. 4. 3 indexed citations
3.
Landowski, Michael, et al.. (2023). A Protocol to Evaluate and Quantify Retinal Pigmented Epithelium Pathologies in Mouse Models of Age-Related Macular Degeneration. Journal of Visualized Experiments. 1 indexed citations
4.
Landowski, Michael, Vijesh J. Bhute, Richard S. Brush, et al.. (2023). Transmembrane protein 135 regulates lipid homeostasis through its role in peroxisomal DHA metabolism. Communications Biology. 6(1). 8–8. 10 indexed citations
5.
Landowski, Michael & Catherine Bowes Rickman. (2021). Targeting Lipid Metabolism for the Treatment of Age-Related Macular Degeneration: Insights from Preclinical Mouse Models. Journal of Ocular Pharmacology and Therapeutics. 38(1). 3–32. 33 indexed citations
6.
Kelly, Una, Martha A. Cady, Michael Landowski, et al.. (2020). High-density lipoproteins are a potential therapeutic target for age-related macular degeneration. Journal of Biological Chemistry. 295(39). 13601–13616. 34 indexed citations
7.
Landowski, Michael, Pawan K. Shahi, Daniel Western, et al.. (2020). Modulation of Tmem135 Leads to Retinal Pigmented Epithelium Pathologies in Mice. Investigative Ophthalmology & Visual Science. 61(12). 16–16. 10 indexed citations
8.
Landowski, Michael, et al.. (2019). Systemic AAV delivery of complement regulator, Factor H Like-1 (FHL-1) impacts visual function.. Investigative Ophthalmology & Visual Science. 60(9). 5197–5197. 1 indexed citations
9.
Macke, Erica L., Erik Jessen, Nicholas A. Zumwalde, et al.. (2019). Loss of Chondroitin Sulfate Modification Causes Inflammation and Neurodegeneration in skt Mice. Genetics. 214(1). 121–134. 16 indexed citations
10.
Landowski, Michael, Una Kelly, Mikael Klingeborn, et al.. (2019). Human complement factor H Y402H polymorphism causes an age-related macular degeneration phenotype and lipoprotein dysregulation in mice. Proceedings of the National Academy of Sciences. 116(9). 3703–3711. 78 indexed citations
11.
Toomey, Christopher B., Michael Landowski, Mikael Klingeborn, et al.. (2018). Effect of Anti-C5a Therapy in a Murine Model of Early/Intermediate Dry Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 59(2). 662–662. 17 indexed citations
12.
Ding, Jindong, Una Kelly, Michael Landowski, et al.. (2014). Expression of Human Complement Factor H Prevents Age-Related Macular Degeneration–Like Retina Damage and Kidney Abnormalities in Aged Cfh Knockout Mice. American Journal Of Pathology. 185(1). 29–42. 52 indexed citations
13.
Landowski, Michael, Marie-Françoise O’Donohue, Christopher Buros, et al.. (2013). Novel deletion of RPL15 identified by array-comparative genomic hybridization in Diamond–Blackfan anemia. Human Genetics. 132(11). 1265–1274. 77 indexed citations
14.
Vlachos, Adrianna, Jason E. Farrar, Eva Atsidaftos, et al.. (2013). Diminutive somatic deletions in the 5q region lead to a phenotype atypical of classical 5q− syndrome. Blood. 122(14). 2487–2490. 11 indexed citations
15.
Gazda, Hanna T., Milena Preti, Mee Rie Sheen, et al.. (2012). Frameshift mutation in p53 regulator RPL26 is associated with multiple physical abnormalities and a specific pre-ribosomal RNA processing defect in diamond-blackfan anemia. Human Mutation. 33(7). 1037–1044. 109 indexed citations
16.
Jaskula‐Sztul, Renata, et al.. (2011). Expression of the Active Notch1 Decreases MTC Tumor Growth In Vivo. Journal of Surgical Research. 171(1). 23–27. 24 indexed citations
17.

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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