Magdalena Kasendra

2.3k citations
22 papers · 1.7k indexed · 2 hit papers · h-index 13

Magdalena Kasendra

21 papers receiving 1.7k citations

Hit Papers

Human iPSC-Derived Blood-Brain Barrier Chips Enable Disea...4382018202620202023100200300400500

Peers

Magdalena Kasendra
Comparison fields: 5 of 104
  • Biomedical Engineering 1.1k
  • Neurology 174
  • Oncology 440
  • Gastroenterology 58
  • Cellular and Molecular Neuroscience 192
Replace Amir Bein with:
Amir Bein Israel
Alessio Tovaglieri United States
Alexandra Sontheimer-Phelps United States
Jianqiong Zhang China
Camilla A. Richmond United States
Francesca S. Gazzaniga United States
Lien Van Hoecke Belgium
Ceniz Zihni United Kingdom
Melinda Nagy Slovakia
Kazufumi Katayama Japan
Magdalena Kasendra relative to Amir Bein Israel Amir Bein's profile →
Citations per field
00.5×3.8×
Amir Bein · 1×
Citations per year

Countries citing papers authored by Magdalena Kasendra

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Kasendra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Magdalena Kasendra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Magdalena Kasendra Line = papers co-authored together Magdalena Kasendra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 202410
5 20245
6 20231
7 20227
8 20223
9 202145
10 202112
11 2020167
12 202035
13 2019183
14 201935
15 2019115
16
Human iPSC-Derived Blood-Brain Barrier Chips Enable Disease Modeling and Personalized Medicine Applicationsbreakdown →
2019438
17
Development of a primary human Small Intestine-on-a-Chip using biopsy-derived organoidsbreakdown →
2018549
18 201550
19 201438
20 201323

About Magdalena Kasendra

Magdalena Kasendra is a scholar working on Oncology, Biomedical Engineering and Neurology, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (12 papers), Cancer Cells and Metastasis (8 papers), Pluripotent Stem Cells Research (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Renal and related cancers (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Planarian Biology and Electrostimulation (2 papers). The work is most often cited by research in Biomedical Engineering (1.1k citations), Neurology (174 citations) and Oncology (440 citations). Magdalena Kasendra has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Alessio Tovaglieri, Sasan Jalili‐Firoozinezhad, Camilla A. Richmond, David T. Breault, Donald E. Ingber, Alexandra Sontheimer-Phelps, Carolina Lucchesi, Amir Bein, Hu Li and Angeliki Chalkiadaki. Their work appears in journals such as Gastroenterology, PLoS ONE and Scientific Reports.

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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