Jasmin Federizon

455 total citations
8 papers, 357 citations indexed

About

Jasmin Federizon is a scholar working on Molecular Biology, Biomaterials and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jasmin Federizon has authored 8 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Biomaterials and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jasmin Federizon's work include Nanoparticle-Based Drug Delivery (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Vector-borne infectious diseases (2 papers). Jasmin Federizon is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Vector-borne infectious diseases (2 papers). Jasmin Federizon collaborates with scholars based in United States, Canada and China. Jasmin Federizon's co-authors include Jonathan F. Lovell, Upendra Chitgupi, Jumin Geng, Tishan Williams, Timothy M. Jacobs, Thomas Szyperski, Xiaohui Xu, Alexander Eletsky, Brian Kuhlman and Benfeard Williams and has published in prestigious journals such as Science, Nature Communications and Nature Nanotechnology.

In The Last Decade

Jasmin Federizon

8 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasmin Federizon United States 7 192 99 69 62 48 8 357
Christina Förtsch Germany 13 174 0.9× 54 0.5× 68 1.0× 62 1.0× 64 1.3× 18 440
Quinton M. Dowling United States 11 259 1.3× 110 1.1× 32 0.5× 48 0.8× 67 1.4× 14 449
Elizabeth J. Curvino United States 7 227 1.2× 123 1.2× 83 1.2× 25 0.4× 94 2.0× 9 413
Olivia M. Saouaf United States 10 95 0.5× 115 1.2× 80 1.2× 30 0.5× 76 1.6× 17 332
Mohammad Sadraeian Australia 13 110 0.6× 80 0.8× 110 1.6× 63 1.0× 26 0.5× 29 368
Jannatul Firdous South Korea 10 275 1.4× 95 1.0× 58 0.8× 17 0.3× 79 1.6× 14 464
Eirini D. Tseligka Switzerland 8 145 0.8× 41 0.4× 55 0.8× 56 0.9× 39 0.8× 12 535
Geunseon Park South Korea 12 141 0.7× 56 0.6× 120 1.7× 60 1.0× 43 0.9× 26 393
Marie‐Luce De Temmerman Belgium 8 234 1.2× 199 2.0× 128 1.9× 70 1.1× 129 2.7× 8 528
Zhongchao Zhao United States 15 230 1.2× 129 1.3× 63 0.9× 57 0.9× 48 1.0× 35 674

Countries citing papers authored by Jasmin Federizon

Since Specialization
Citations

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

Fields of papers citing papers by Jasmin Federizon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmin Federizon

This figure shows the co-authorship network connecting the top 25 collaborators of Jasmin Federizon. A scholar is included among the top collaborators of Jasmin Federizon 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 Jasmin Federizon. Jasmin Federizon 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.
Federizon, Jasmin, Wei‐Chiao Huang, Xuedan He, et al.. (2021). Experimental and Computational Observations of Immunogenic Cobalt Porphyrin Lipid Bilayers: Nanodomain-Enhanced Antigen Association. Pharmaceutics. 13(1). 98–98. 16 indexed citations
2.
Sun, Boyang, Upendra Chitgupi, Changning Li, et al.. (2020). Drug Delivery: Surfactant‐Stripped Cabazitaxel Micelles Stabilized by Clotrimazole or Mifepristone (Adv. Therap. 3/2020). Advanced Therapeutics. 3(3). 1 indexed citations
3.
Federizon, Jasmin, Yi‐Pin Lin, & Jonathan F. Lovell. (2019). Antigen Engineering Approaches for Lyme Disease Vaccines. Bioconjugate Chemistry. 30(5). 1259–1272. 9 indexed citations
4.
Sun, Boyang, Upendra Chitgupi, Changning Li, et al.. (2019). Surfactant‐Stripped Cabazitaxel Micelles Stabilized by Clotrimazole or Mifepristone. Advanced Therapeutics. 3(3). 8 indexed citations
5.
Federizon, Jasmin, Amber M. Frye, Wei‐Chiao Huang, et al.. (2019). Immunogenicity of the Lyme disease antigen OspA, particleized by cobalt porphyrin-phospholipid liposomes. Vaccine. 38(4). 942–950. 25 indexed citations
6.
Huang, Wei‐Chiao, Bingbing Deng, Cuiyan Lin, et al.. (2018). A malaria vaccine adjuvant based on recombinant antigen binding to liposomes. Nature Nanotechnology. 13(12). 1174–1181. 117 indexed citations
7.
Jacobs, Timothy M., Benfeard Williams, Tishan Williams, et al.. (2016). Design of structurally distinct proteins using strategies inspired by evolution. Science. 352(6286). 687–690. 105 indexed citations
8.
Zhang, Yumiao, Wentao Song, Jumin Geng, et al.. (2016). Therapeutic surfactant-stripped frozen micelles. Nature Communications. 7(1). 11649–11649. 76 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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