Julia Beisner

24 papers receiving 1.7k citations

Julia Beisner's Hit Papers

Reduction of disulphide bonds unmasks potent antimicrobial activity of human β-defensin 1 2011 · 406 citations
4060+5+10Years since publication100200300400

Peers

Julia Beisner
Comparison fields: 5 of 86
  • Microbiology 375
  • Hepatology 96
  • Genetics 315
  • Molecular Biology 601
  • Gastroenterology 43
Replace Anthony James Bilotta with:
Anthony James Bilotta United States
Santasabuj Das India
Xiaojing Xia China
Jeremy P. McAleer United States
Julie Schulthess France
Yoshiyuki Goto Japan
Feidi Chen United States
Maria E. C. Bruno United States
Juan Xue China
Céline Mulet France
Julia Beisner relative to Anthony James Bilotta United States Anthony James Bilotta's profile →
Citations per field
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Anthony James Bilotta · 1×
Citations per year

Countries citing papers authored by Julia Beisner

Since Specialization
Citations

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

Fields of papers citing papers by Julia Beisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Beisner, 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 Julia Beisner Line = papers co-authored together Julia Beisner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reduction of disulphide bonds unmasks potent antimicrobial activity of human β-defensin 1
Hit paper breakdown →
2011406
2 2010170
3 2021170
4 2011167
5 2009141
6 2009117
7 202076
8 200862
9 200958
10 200349
11 201244
12 201440
13 200939
14 200637
15 201337
16 200923
17 202221
18 201919
19 200918
20 201015

About Julia Beisner

Julia Beisner is a scholar working on Genetics, Microbiology, Molecular Biology, Nutrition and Dietetics and Hepatology, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (10 papers), Gut microbiota and health (8 papers), Antimicrobial Peptides and Activities (4 papers), RNA Interference and Gene Delivery (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Diet, Metabolism, and Disease (1 paper), TGF-β signaling in diseases (1 paper) and Helicobacter pylori-related gastroenterology studies (1 paper). The work is most often cited by research in Microbiology (375 citations), Hepatology (96 citations), Genetics (315 citations), Molecular Biology (601 citations) and Gastroenterology (43 citations). Julia Beisner has collaborated with scholars based in Germany, United Kingdom and Norway. Frequent co-authors include Jan Wehkamp, Eduard Friedrich Stange, Sabine Nuding, Bjoern O. Schroeder, Stephan C. Bischoff, Martin Schaller, Moritz Marcinowski, Johannes Büchner, Zhihong Wu and Claudia Günther. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Nutrients, PLoS ONE, Gene Therapy and Lung Cancer.

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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