Magda Babina

8.0k total citations
88 papers, 2.4k citations indexed

About

Magda Babina is a scholar working on Immunology, Immunology and Allergy and Physiology. According to data from OpenAlex, Magda Babina has authored 88 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Immunology, 45 papers in Immunology and Allergy and 25 papers in Physiology. Recurrent topics in Magda Babina's work include Mast cells and histamine (62 papers), Food Allergy and Anaphylaxis Research (25 papers) and Asthma and respiratory diseases (25 papers). Magda Babina is often cited by papers focused on Mast cells and histamine (62 papers), Food Allergy and Anaphylaxis Research (25 papers) and Asthma and respiratory diseases (25 papers). Magda Babina collaborates with scholars based in Germany, United States and China. Magda Babina's co-authors include Torsten Zuberbier, Margitta Worm, Sven Guhl, Metin Artuc, Beate M. Henz, Kristin Franke, B. M. Henz, Undine Lippert, Marcus Maurer and Andreas Grützkau and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Magda Babina

84 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Magda Babina Germany 30 1.6k 917 767 526 492 88 2.4k
Saeko Nakajima Japan 28 1.2k 0.7× 1.2k 1.3× 792 1.0× 547 1.0× 1.9k 3.8× 80 3.3k
Stephen J. Galli United States 11 1.6k 1.0× 718 0.8× 882 1.1× 539 1.0× 183 0.4× 15 2.5k
Jürgen Grabbe Germany 25 967 0.6× 438 0.5× 339 0.4× 294 0.6× 449 0.9× 86 1.8k
Jenny Hallgren Sweden 25 1.5k 0.9× 577 0.6× 742 1.0× 412 0.8× 92 0.2× 44 2.1k
Osamu Kaminuma Japan 24 931 0.6× 448 0.5× 826 1.1× 571 1.1× 219 0.4× 149 2.0k
Satoshi Nakamizo Japan 24 660 0.4× 242 0.3× 265 0.3× 423 0.8× 565 1.1× 62 1.9k
Francesca Mascia Italy 21 566 0.3× 264 0.3× 197 0.3× 473 0.9× 604 1.2× 32 1.8k
Gregorio Gomez United States 22 915 0.6× 322 0.4× 396 0.5× 312 0.6× 63 0.1× 32 1.3k
Takeshi Kono Japan 18 1.1k 0.7× 264 0.3× 131 0.2× 538 1.0× 397 0.8× 56 2.1k
Xiangyu Peng United States 20 714 0.4× 1.5k 1.7× 867 1.1× 199 0.4× 2.4k 4.9× 28 2.9k

Countries citing papers authored by Magda Babina

Since Specialization
Citations

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

Fields of papers citing papers by Magda Babina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magda Babina

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

All Works

20 of 20 papers shown
1.
Maier, Philip, Pavel Kolkhir, Magda Babina, et al.. (2025). MRGPRX2 ligandome: Molecular simulations reveal three categories of ligand-receptor interactions. Journal of Structural Biology. 217(2). 108193–108193. 1 indexed citations
2.
3.
Schneikert, Jean, et al.. (2025). A Novel Cell Culture System to Improve MRGPRX2 Research in Human Skin Mast Cells. Clinical and Translational Allergy. 15(10). e70112–e70112.
4.
Benezeder, Theresa, Natalie Bordag, Andrea Teufelberger, et al.. (2025). Mast cells express IL17A, IL17F and RORC in lesional psoriatic skin, are activated before therapy and persist in high numbers in a resting state with IL-17A positivity after treatment. Journal of Dermatological Science. 119(2). 53–63. 2 indexed citations
5.
Schneikert, Jean, et al.. (2024). CREB Is Critically Implicated in Skin Mast Cell Degranulation Elicited via FcεRI and MRGPRX2. Cells. 13(20). 1681–1681. 1 indexed citations
6.
7.
Harden, Jamie L., Jelle Folkerts, Stefan Frischbutter, et al.. (2023). 68 EVO756 is a novel MRGPRX2 antagonist that potently inhibits human mast cell degranulation in response to multiple agonists – potential treatment for CSU and beyond. Journal of Investigative Dermatology. 143(11). S344–S344. 1 indexed citations
8.
Franke, Kristin, Marieluise Kirchner, Philipp Mertins, Torsten Zuberbier, & Magda Babina. (2022). The SCF/KIT axis in human mast cells: Capicua acts as potent KIT repressor and ERK predominates PI3K. Allergy. 77(11). 3337–3349. 12 indexed citations
9.
10.
Asano, Koichiro, Mayumi Tamari, Torsten Zuberbier, et al.. (2022). Diversities of allergic pathologies and their modifiers: Report from the second DGAKI-JSA meeting. Allergology International. 71(3). 310–317. 1 indexed citations
11.
Kalb, Birgit, Valérie Trendelenburg, Stephanie F. Heller, et al.. (2022). Tolerance induction through early feeding to prevent food allergy in infants with eczema (TEFFA): rationale, study design, and methods of a randomized controlled trial. Trials. 23(1). 210–210. 9 indexed citations
12.
Kühn, Helen, Pavel Kolkhir, Magda Babina, et al.. (2020). Mas-related G protein–coupled receptor X2 and its activators in dermatologic allergies. Journal of Allergy and Clinical Immunology. 147(2). 456–469. 100 indexed citations
13.
Schmidt, Andreas, Andreas Fuchs, Johanna Raithel, et al.. (2020). Mechanisms governing the pioneering and redistribution capabilities of the non-classical pioneer PU.1. Nature Communications. 11(1). 402–402. 81 indexed citations
14.
Babina, Magda, et al.. (2018). MRGPRX 2 is negatively targeted by SCF and IL ‐4 to diminish pseudo‐allergic stimulation of skin mast cells in culture. Experimental Dermatology. 27(11). 1298–1303. 32 indexed citations
15.
Worm, Margitta, et al.. (2017). The Impact on Allergy-Related Cells of a Birch Pollen Allergoid, with and without Monophosphoryl Lipid A, in Comparison with the Native Equivalent. International Archives of Allergy and Immunology. 172(1). 20–26. 9 indexed citations
16.
Riedel, René, Christoph Loddenkemper, Andreas Steinmeyer, et al.. (2011). Vitamin D Receptor Activation Improves Allergen-Triggered Eczema in Mice. Journal of Investigative Dermatology. 132(2). 330–336. 45 indexed citations
17.
Guhl, Sven, Rodrigo de Azevedo Franke, Anika Schielke, et al.. (2010). Infection of in vivo differentiated human mast cells with hantaviruses. Journal of General Virology. 91(5). 1256–1261. 22 indexed citations
18.
Heine, Guido, Magda Babina, Andreas Steinmeyer, et al.. (2010). Targeting the vitamin D receptor inhibits the B cell‐dependent allergic immune response. Allergy. 66(4). 540–548. 103 indexed citations
19.
Babina, Magda, et al.. (1997). Human Leukaemic (HMC‐1) and Normal Skin Mast Cells Express β2‐Integrins: Characterization of β2‐Integrins and ICAM‐1 on HMC‐1 Cells. Scandinavian Journal of Immunology. 45(5). 471–481. 39 indexed citations
20.
Babina, Magda, et al.. (1997). Retinoic acids and dexamethasone alter cell-surface density of β2-integrins and ICAM-1 on human leukemic (HMC-1) mast cells. Archives of Dermatological Research. 289(2). 111–115. 11 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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