Michal Werbner

834 total citations · 1 hit paper
10 papers, 380 citations indexed

About

Michal Werbner is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Michal Werbner has authored 10 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Michal Werbner's work include Gut microbiota and health (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Michal Werbner is often cited by papers focused on Gut microbiota and health (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Michal Werbner collaborates with scholars based in Israel, United States and Sweden. Michal Werbner's co-authors include Omry Koren, Orly Avni, Yehuda Shoenfeld, Oded Shamriz, Meital Gal-Tanamy, Moshe Dessau, Joel Alter, Meital Nuriel‐Ohayon, Shai Bel and Shira Ben-Simon and has published in prestigious journals such as Nature Communications, Scientific Reports and Science Advances.

In The Last Decade

Michal Werbner

10 papers receiving 375 citations

Hit Papers

Autophagy controls mucus secretion from intestinal goblet... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michal Werbner Israel 9 175 93 67 45 36 10 380
Clelia Cicerone Italy 9 167 1.0× 57 0.6× 69 1.0× 79 1.8× 45 1.3× 20 421
Angélica Díaz‐Basabe Italy 10 264 1.5× 145 1.6× 47 0.7× 82 1.8× 44 1.2× 12 479
Natalia M. Fontecilla United States 8 173 1.0× 43 0.5× 70 1.0× 115 2.6× 24 0.7× 14 611
Meng Guo China 11 141 0.8× 284 3.1× 84 1.3× 60 1.3× 30 0.8× 17 542
Martje N. Erkelens Netherlands 6 229 1.3× 76 0.8× 51 0.8× 172 3.8× 25 0.7× 6 505
Zhe Zhao China 8 191 1.1× 147 1.6× 78 1.2× 78 1.7× 34 0.9× 14 388
Olivia B. Parks United States 7 101 0.6× 49 0.5× 112 1.7× 111 2.5× 35 1.0× 16 350
Namhee Kim South Korea 11 140 0.8× 225 2.4× 107 1.6× 15 0.3× 23 0.6× 40 522
G. Lennon Ireland 7 238 1.4× 58 0.6× 52 0.8× 16 0.4× 120 3.3× 17 528

Countries citing papers authored by Michal Werbner

Since Specialization
Citations

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

Fields of papers citing papers by Michal Werbner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Werbner

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

All Works

10 of 10 papers shown
1.
Feeney, R, A. Gordon, Shira Ben-Simon, et al.. (2024). Antibiotics damage the colonic mucus barrier in a microbiota-independent manner. Science Advances. 10(37). eadp4119–eadp4119. 20 indexed citations
2.
Ben-Simon, Shira, Sondra Turjeman, Michal Werbner, et al.. (2023). Autophagy controls mucus secretion from intestinal goblet cells by alleviating ER stress. Cell Host & Microbe. 31(3). 433–446.e4. 107 indexed citations breakdown →
3.
Li, Ruofan, Michael Mor, Bingting Ma, et al.. (2022). Conformational flexibility in neutralization of SARS-CoV-2 by naturally elicited anti-SARS-CoV-2 antibodies. Communications Biology. 5(1). 789–789. 9 indexed citations
4.
Bijlani, Swati, Judith Berman, Joseph Shlomai, et al.. (2022). Fold-change of chromatin condensation in yeast is a conserved property. Scientific Reports. 12(1). 17393–17393. 5 indexed citations
5.
Werbner, Michal, Joel Alter, Yfat Yahalom-Ronen, et al.. (2022). HCV Infection Increases the Expression of ACE2 Receptor, Leading to Enhanced Entry of Both HCV and SARS-CoV-2 into Hepatocytes and a Coinfection State. Microbiology Spectrum. 10(6). e0115022–e0115022. 8 indexed citations
6.
Zucker, Ines, Yaal Lester, Joel Alter, et al.. (2021). Pseudoviruses for the assessment of coronavirus disinfection by ozone. Environmental Chemistry Letters. 19(2). 1779–1785. 40 indexed citations
7.
Werbner, Michal, Joel Alter, Yariv Yogev, et al.. (2021). BNT162b2 mRNA vaccine elicited antibody response in blood and milk of breastfeeding women. Nature Communications. 12(1). 6222–6222. 41 indexed citations
8.
Ashur, Idan, Joel Alter, Michal Werbner, et al.. (2021). Rapid electrochemical immunodetection of SARS-CoV-2 using a pseudo-typed vesicular stomatitis virus model. Talanta. 239. 123147–123147. 14 indexed citations
9.
Werbner, Michal, Yiftah Barsheshet, Ziv Oren, et al.. (2019). Social-Stress-Responsive Microbiota Induces Stimulation of Self-Reactive Effector T Helper Cells. mSystems. 4(4). 32 indexed citations
10.
Shamriz, Oded, et al.. (2016). Microbiota at the crossroads of autoimmunity. Autoimmunity Reviews. 15(9). 859–869. 104 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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