Agata A. Bielecka

1.2k total citations · 1 hit paper
8 papers, 443 citations indexed

About

Agata A. Bielecka is a scholar working on Molecular Biology, Infectious Diseases and Food Science. According to data from OpenAlex, Agata A. Bielecka has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Food Science. Recurrent topics in Agata A. Bielecka's work include Gut microbiota and health (7 papers), Probiotics and Fermented Foods (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Agata A. Bielecka is often cited by papers focused on Gut microbiota and health (7 papers), Probiotics and Fermented Foods (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Agata A. Bielecka collaborates with scholars based in Germany, United States and Netherlands. Agata A. Bielecka's co-authors include Noah W. Palm, Connor Rosen, Yi Yang, Aaron M. Ring, Gary W. Cline, Jason M. Crawford, Manik Kuchroo, Haiwei Chen, Andrew C. Kruse and Richard A. Flavell and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Agata A. Bielecka

8 papers receiving 439 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Forward Chemical Genetic Screen Reveals Gut Microbiota Metabolites That Modulate Host Physiology

2019 256 citations Haiwei Chen, Yi Yang et al. Cell profile →

Peers

Agata A. Bielecka

MB

ID

PHYSI

FS

IMMUN

Yu Anne Yap Australia

Rohini Emani Finland

Giulia Pignataro Italy

Beatrice Herrmann United States

Samantha N. Freedman United States

Michael T. Shanahan United States

Mariya Gryaznova Russia

Daniele Pietrucci Italy

Atsuo Nakamura Japan

Kimberley J. Lewis Canada

Yu Anne Yap Australia

Agata A. Bielecka

291 ×0.9

MB

69 ×0.9

ID

129 ×1.7

PHYSI

63 ×1.0

FS

41 ×0.7

IMMUN

Citations per year, relative to Agata A. Bielecka Agata A. Bielecka (= 1×) peers Yu Anne Yap

Countries citing papers authored by Agata A. Bielecka

Since Specialization

Citations

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

Fields of papers citing papers by Agata A. Bielecka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agata A. Bielecka. 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 Agata A. Bielecka. The network helps show where Agata A. Bielecka may publish in the future.

Co-authorship network of co-authors of Agata A. Bielecka

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

All Works

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8 of 8 papers shown

1.

Almási, Éva, Lisa Osbelt, Till Robin Lesker, et al.. (2025). Klebsiella oxytoca facilitates microbiome recovery via antibiotic degradation and restores colonization resistance in a diet-dependent manner. Nature Communications. 16(1). 551–551. 1 indexed citations

2.

Bauer, Alexander, et al.. (2025). The impact of regular sauerkraut consumption on the human gut microbiota: a crossover intervention trial. Microbiome. 13(1). 52–52. 4 indexed citations

3.

Müller, Mattea, et al.. (2024). Dietary selective effects manifest in the human gut microbiota from species composition to strain genetic makeup. Cell Reports. 43(12). 115067–115067. 2 indexed citations

4.

Rice, Tyler, Agata A. Bielecka, Mytien Nguyen, et al.. (2022). Interspecies commensal interactions have nonlinear impacts on host immunity. Cell Host & Microbe. 30(7). 988–1002.e6. 48 indexed citations

5.

Li, Jing, Eric J. C. Gálvez, Lena Amend, et al.. (2021). A versatile genetic toolbox for Prevotella copri enables studying polysaccharide utilization systems. The EMBO Journal. 40(23). e108287–e108287. 32 indexed citations

6.

Chen, Jeff W., Tyler Rice, Jason M. Bannock, et al.. (2020). Autoreactivity in naïve human fetal B cells is associated with commensal bacteria recognition. Science. 369(6501). 320–325. 28 indexed citations

7.

Shapiro, Jason M., Marcel R. de Zoete, Noah W. Palm, et al.. (2020). Immunoglobulin A Targets a Unique Subset of the Microbiota in Inflammatory Bowel Disease. Cell Host & Microbe. 29(1). 83–93.e3. 72 indexed citations

8.

Chen, Haiwei, Yi Yang, Connor Rosen, et al.. (2019). A Forward Chemical Genetic Screen Reveals Gut Microbiota Metabolites That Modulate Host Physiology. Cell. 177(5). 1217–1231.e18. 256 indexed citations breakdown →

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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