Cynthia Lander

575 total citations
8 papers, 490 citations indexed

About

Cynthia Lander is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Cynthia Lander has authored 8 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cell Biology. Recurrent topics in Cynthia Lander's work include Cardiac Fibrosis and Remodeling (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Signaling Pathways in Disease (2 papers). Cynthia Lander is often cited by papers focused on Cardiac Fibrosis and Remodeling (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Signaling Pathways in Disease (2 papers). Cynthia Lander collaborates with scholars based in United States and China. Cynthia Lander's co-authors include Susan Hockfield, Peter C. Kind, Hong Zhang, Hugo Geerts, Diana S. Woodruff‐Pak, Monte S. Willis, Ragini Vittal, David S. Wilkes, Elizabeth A. Mickler and Oscar W. Cummings and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Cynthia Lander

8 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cynthia Lander United States 8 271 183 167 45 39 8 490
Yumi Ito Japan 14 250 0.9× 120 0.7× 68 0.4× 37 0.8× 36 0.9× 30 623
Shuji Matsuda Japan 12 336 1.2× 151 0.8× 196 1.2× 76 1.7× 15 0.4× 18 781
Fabiola Rojas Chile 8 218 0.8× 83 0.5× 96 0.6× 28 0.6× 16 0.4× 11 673
Yin Fang China 13 505 1.9× 101 0.6× 95 0.6× 95 2.1× 57 1.5× 28 736
Masuma Rahimtula Canada 12 313 1.2× 99 0.5× 329 2.0× 24 0.5× 39 1.0× 14 622
Susanne Rohn Germany 10 164 0.6× 141 0.8× 108 0.6× 54 1.2× 23 0.6× 19 415
Melissa Hancock United States 8 377 1.4× 68 0.4× 167 1.0× 49 1.1× 18 0.5× 9 548
Atsushi Hattori Japan 7 301 1.1× 118 0.6× 191 1.1× 23 0.5× 15 0.4× 12 489
Menghon Cheah United Kingdom 12 305 1.1× 59 0.3× 165 1.0× 46 1.0× 45 1.2× 18 617
Paola Merino United States 14 274 1.0× 85 0.5× 70 0.4× 29 0.6× 12 0.3× 23 580

Countries citing papers authored by Cynthia Lander

Since Specialization
Citations

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

Fields of papers citing papers by Cynthia Lander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cynthia Lander

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

All Works

8 of 8 papers shown
1.
Evans, Brian C., Kameron V. Kilchrist, Eric A. Dailing, et al.. (2019). An anionic, endosome-escaping polymer to potentiate intracellular delivery of cationic peptides, biomacromolecules, and nanoparticles. Nature Communications. 10(1). 5012–5012. 68 indexed citations
2.
Meng, Qinghang, Hanna Osińska, J. Howard James, et al.. (2017). MMI‐0100 Inhibits Cardiac Fibrosis in a Mouse Model Overexpressing Cardiac Myosin Binding Protein C. Journal of the American Heart Association. 6(9). 14 indexed citations
3.
Brown, David, Brian C. Cooley, Megan T. Quintana, Cynthia Lander, & Monte S. Willis. (2016). Nebulized Delivery of the MAPKAP Kinase 2 Peptide Inhibitor MMI-0100 Protects Against Ischemia-Induced Systolic Dysfunction. International Journal of Peptide Research and Therapeutics. 22(3). 317–324. 8 indexed citations
4.
Xu, Lei, Cecelia C. Yates, Pamela Lockyer, et al.. (2014). MMI-0100 inhibits cardiac fibrosis in myocardial infarction by direct actions on cardiomyocytes and fibroblasts via MK2 inhibition. Journal of Molecular and Cellular Cardiology. 77. 86–101. 36 indexed citations
5.
Vittal, Ragini, Amanda Fisher, Hongmei Gu, et al.. (2013). Peptide-Mediated Inhibition of Mitogen-Activated Protein Kinase–Activated Protein Kinase–2 Ameliorates Bleomycin-Induced Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 49(1). 47–57. 47 indexed citations
6.
Woodruff‐Pak, Diana S., Cynthia Lander, & Hugo Geerts. (2002). Nicotinic Cholinergic Modulation: Galantamine as a Prototype. CNS Drug Reviews. 8(4). 405–426. 51 indexed citations
7.
Lander, Cynthia, Hong Zhang, & Susan Hockfield. (1998). Neurons Produce a Neuronal Cell Surface-Associated Chondroitin Sulfate Proteoglycan. Journal of Neuroscience. 18(1). 174–183. 94 indexed citations
8.
Lander, Cynthia, et al.. (1997). A Family of Activity-Dependent Neuronal Cell-Surface Chondroitin Sulfate Proteoglycans in Cat Visual Cortex. Journal of Neuroscience. 17(6). 1928–1939. 172 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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