M. Epstein

8.7k total citations
194 papers, 4.8k citations indexed

About

M. Epstein is a scholar working on Plant Science, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, M. Epstein has authored 194 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 34 papers in Immunology and Allergy and 33 papers in Molecular Biology. Recurrent topics in M. Epstein's work include Genetically Modified Organisms Research (31 papers), Asthma and respiratory diseases (23 papers) and Allergic Rhinitis and Sensitization (22 papers). M. Epstein is often cited by papers focused on Genetically Modified Organisms Research (31 papers), Asthma and respiratory diseases (23 papers) and Allergic Rhinitis and Sensitization (22 papers). M. Epstein collaborates with scholars based in Austria, United States and France. M. Epstein's co-authors include Akiba Segal, Irina Vishnevetsky, Berislav Bošnjak, Gerhard Dekan, Francesca Di Rosa, Alan Sher, Dragana Janković, H Förster, Polly Matzinger and H.K. Fauske and has published in prestigious journals such as The Lancet, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

M. Epstein

186 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Epstein Austria 39 817 744 739 673 661 194 4.8k
Masahiko Katô Japan 35 783 1.0× 244 0.3× 872 1.2× 280 0.4× 428 0.6× 292 4.8k
Takashi Watanabe Japan 44 248 0.3× 431 0.6× 632 0.9× 342 0.5× 3.5k 5.3× 400 8.3k
Claude Cuvelier Belgium 45 1.1k 1.3× 543 0.7× 1.5k 2.0× 228 0.3× 1.6k 2.5× 180 7.3k
Hua Huang China 35 510 0.6× 240 0.3× 1.6k 2.1× 299 0.4× 596 0.9× 149 3.9k
Jiming Wang China 52 806 1.0× 372 0.5× 3.2k 4.4× 831 1.2× 3.6k 5.4× 247 10.5k
Akira Kamiya Japan 40 926 1.1× 150 0.2× 220 0.3× 737 1.1× 1.5k 2.2× 195 5.5k
Richard E. Goodman United States 40 256 0.3× 1.3k 1.8× 620 0.8× 89 0.1× 904 1.4× 176 7.0k
Tsutomu Yamazaki Japan 46 687 0.8× 228 0.3× 324 0.4× 639 0.9× 3.1k 4.7× 353 9.4k
Zhiping Chen China 31 683 0.8× 624 0.8× 526 0.7× 184 0.3× 971 1.5× 176 4.3k
Hitoshi Sugiyama Japan 48 620 0.8× 151 0.2× 938 1.3× 258 0.4× 2.5k 3.8× 435 8.3k

Countries citing papers authored by M. Epstein

Since Specialization
Citations

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

Fields of papers citing papers by M. Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Epstein

This figure shows the co-authorship network connecting the top 25 collaborators of M. Epstein. A scholar is included among the top collaborators of M. Epstein 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 M. Epstein. M. Epstein 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.
Casacuberta, Josep, Francisco Barro, Albert Braeuning, et al.. (2025). Assessment of genetically modified T25 maize for renewal authorisation under Regulation (EC) No 1829/2003 (dossier GMFF‐2024‐22651). EFSA Journal. 23(8). e9570–e9570.
2.
Casacuberta, Josep, Francisco Barro, Albert Braeuning, et al.. (2025). Assessment of genetically modified cotton GHB614 × LLCotton25 for renewal authorisation under regulation (EC) No 1829/2003 (dossier GMFF‐2024‐21890). EFSA Journal. 23(8). e9572–e9572. 1 indexed citations
3.
Kazemi, Sima, et al.. (2024). Research gaps and future needs for allergen prediction in food safety. SHILAP Revista de lepidopterología. 5. 6 indexed citations
4.
Mullins, Ewen, Jean‐Louis Bresson, Tamás Dalmay, et al.. (2023). Animal dietary exposure in the risk assessment of feed derived from genetically modified plants. EFSA Journal. 21(1). e07732–e07732. 1 indexed citations
5.
Verhoeckx, Kitty, Katrine Lindholm Bøgh, Anne Constable, et al.. (2020). COST Action ‘ImpARAS’: what have we learnt to improve food allergy risk assessment. A summary of a 4 year networking consortium. Clinical and Translational Allergy. 10(1). 13–13. 20 indexed citations
6.
Verhoeckx, Kitty, Katrine Lindholm Bøgh, Didier Dupont, et al.. (2019). The relevance of a digestibility evaluation in the allergenicity risk assessment of novel proteins. Opinion of a joint initiative of COST action ImpARAS and COST action INFOGEST. Food and Chemical Toxicology. 129. 405–423. 63 indexed citations
7.
Bøgh, Katrine Lindholm, M. Epstein, Liam O’Mahony, et al.. (2019). Overview of in vivo and ex vivo endpoints in murine food allergy models: Suitable for evaluation of the sensitizing capacity of novel proteins?. Allergy. 75(2). 289–301. 40 indexed citations
8.
Lake, Iain, Natalia R. Jones, Maureen D. Agnew, et al.. (2016). Climate Change and Future Pollen Allergy in Europe. Environmental Health Perspectives. 125(3). 385–391. 235 indexed citations
9.
Karagiannidis, Christian, Steffen Kunzmann, M. Epstein, et al.. (2004). Ephrin-A1 Suppresses Th2 Cell Activation and Provides a Regulatory Link to Lung Epithelial Cells. The Journal of Immunology. 172(2). 843–850. 34 indexed citations
10.
Möller, S., et al.. (2003). Steam Reforming of Methane Rich Gas in a Solar Reactor. elib (German Aerospace Center). 33(3). 328–32. 8 indexed citations
11.
Jungsuwadee, Paiboon, Gerhard Dekan, Georg Stingl, & M. Epstein. (2003). Inhaled dexamethasone differentially attenuates disease relapse and established allergic asthma in mice. Clinical Immunology. 110(1). 13–21. 17 indexed citations
12.
Möller, S., Reiner Buck, Rainer Tamme, et al.. (2002). Solar Production of Syngas for Electricity Generation: SOLASYS Project Test-Phase. elib (German Aerospace Center). 86(1). 137–50. 7 indexed citations
13.
Mojtabavi, Nazanin, Gerhard Dekan, Georg Stingl, & M. Epstein. (2002). Long-Lived Th2 Memory in Experimental Allergic Asthma. The Journal of Immunology. 169(9). 4788–4796. 92 indexed citations
14.
Epstein, M., et al.. (1996). On prediction of the ignition potential of uranium metal and hydride. 37(1). 2 indexed citations
15.
Epstein, M., Francesca Di Rosa, Dragana Janković, Alan Sher, & Polly Matzinger. (1995). Successful T cell priming in B cell-deficient mice.. The Journal of Experimental Medicine. 182(4). 915–922. 250 indexed citations
16.
Cheung, F. B., et al.. (1980). Nonlinear thermal interaction between a heat-generating particulate bed and a solid. [LMFBR]. University of North Texas Digital Library (University of North Texas). 1 indexed citations
17.
Epstein, M., et al.. (1976). Melting Heat Transfer in Steady Laminar Flow Over a Flat Plate. Journal of Heat Transfer. 98(3). 531–533. 186 indexed citations
18.
Epstein, M.. (1975). Transient behavior of a volume-heated boiling pool. Transactions of the American Nuclear Society. 2 indexed citations
19.
Epstein, M., et al.. (1975). Fog formation in hypothetical LMFBR accidents. Transactions of the American Nuclear Society. 1 indexed citations
20.
Epstein, M., et al.. (1975). Melting of steel structure by flowing fuel or steel vapor. Transactions of the American Nuclear Society. 1 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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