Peter Kuffa

5.2k total citations · 2 hit papers
16 papers, 3.4k citations indexed

About

Peter Kuffa is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Peter Kuffa has authored 16 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Surgery. Recurrent topics in Peter Kuffa's work include Gut microbiota and health (10 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Immune cells in cancer (3 papers). Peter Kuffa is often cited by papers focused on Gut microbiota and health (10 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Immune cells in cancer (3 papers). Peter Kuffa collaborates with scholars based in United States, Japan and Sweden. Peter Kuffa's co-authors include Gabriel Núñez, Raúl Muñoz-Planillo, Thekkelnaycke M. Rajendiran, Giovanny J. Martínez-Colón, Nobuhiko Kamada, Hiroko Nagao‐Kitamoto, Sho Kitamoto, Yun‐Gi Kim, Merritt Gillilland and Atsushi Hayashi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Peter Kuffa

16 papers receiving 3.4k citations

Hit Papers

K+ Efflux Is the Common Trigger of NLRP3 Inflammasome Act... 2013 2026 2017 2021 2013 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Kuffa United States 14 2.5k 1.2k 428 405 348 16 3.4k
Mario M. Zaiss Germany 36 2.6k 1.1× 1.3k 1.1× 412 1.0× 444 1.1× 308 0.9× 73 4.9k
Jonathan Jantsch Germany 33 847 0.3× 831 0.7× 269 0.6× 326 0.8× 353 1.0× 111 3.3k
Kristine A. Kuhn United States 24 2.1k 0.9× 831 0.7× 330 0.8× 577 1.4× 548 1.6× 68 4.5k
Joshua M. Uronis United States 15 2.9k 1.2× 1.0k 0.9× 620 1.4× 513 1.3× 327 0.9× 23 4.0k
Andy Wullaert Belgium 26 2.2k 0.9× 1.6k 1.3× 437 1.0× 310 0.8× 520 1.5× 45 3.9k
Prajwal Gurung United States 32 3.6k 1.5× 2.5k 2.1× 412 1.0× 314 0.8× 680 2.0× 61 5.0k
Tessa Bergsbaken United States 15 2.6k 1.1× 1.6k 1.4× 261 0.6× 289 0.7× 562 1.6× 26 4.1k
Debra J. Taxman United States 27 2.6k 1.1× 2.1k 1.8× 298 0.7× 368 0.9× 697 2.0× 42 4.1k
Raúl Muñoz-Planillo United States 16 4.7k 1.9× 2.7k 2.3× 669 1.6× 522 1.3× 742 2.1× 17 6.5k
Hisako Kayama Japan 33 2.2k 0.9× 1.7k 1.4× 358 0.8× 636 1.6× 909 2.6× 64 4.8k

Countries citing papers authored by Peter Kuffa

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kuffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Kuffa

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

All Works

16 of 16 papers shown
1.
Kuffa, Peter, Joseph M. Pickard, Austin Campbell, et al.. (2023). Fiber-deficient diet inhibits colitis through the regulation of the niche and metabolism of a gut pathobiont. Cell Host & Microbe. 31(12). 2007–2022.e12. 28 indexed citations
2.
Caruso, Roberta, Peter Kuffa, Naohiro Inohara, & Gabriel Núñez. (2021). DIETARY FIBER DEPRIVATION QUELLS COLONIC INFLAMMATION BY TARGETING GUT PATHOBIONTS IN A NEW MODEL OF CROHN’S DISEASE. Gastroenterology. 160(3). S53–S54. 1 indexed citations
3.
Nagao‐Kitamoto, Hiroko, Jhansi L. Leslie, Sho Kitamoto, et al.. (2020). Interleukin-22-mediated host glycosylation prevents Clostridioides difficile infection by modulating the metabolic activity of the gut microbiota. Nature Medicine. 26(4). 608–617. 164 indexed citations
4.
Kitamoto, Sho, Hiroko Nagao‐Kitamoto, Yizu Jiao, et al.. (2020). The Intermucosal Connection between the Mouth and Gut in Commensal Pathobiont-Driven Colitis. Cell. 182(2). 447–462.e14. 459 indexed citations breakdown →
5.
Morhardt, Tina L., Atsushi Hayashi, Takanori Ochi, et al.. (2019). IL-10 produced by macrophages regulates epithelial integrity in the small intestine. Scientific Reports. 9(1). 1223–1223. 86 indexed citations
6.
Imai, Jin, Sho Kitamoto, Kohei Sugihara, et al.. (2019). Flagellin-mediated activation of IL-33-ST2 signaling by a pathobiont promotes intestinal fibrosis. Mucosal Immunology. 12(3). 632–643. 72 indexed citations
7.
Imai, Jin, Sho Kitamoto, Hiroko Nagao‐Kitamoto, et al.. (2019). Tu1794 – Adherent-Invasive Escherichia Coli Colonization Promotes Intestinal Fibrosis Via Activation of Il-33/St2 Signaling. Gastroenterology. 156(6). S–1126. 1 indexed citations
8.
Nagao‐Kitamoto, Hiroko, Andrew B. Shreiner, Merritt Gillilland, et al.. (2016). Functional Characterization of Inflammatory Bowel Disease–Associated Gut Dysbiosis in Gnotobiotic Mice. Cellular and Molecular Gastroenterology and Hepatology. 2(4). 468–481. 176 indexed citations
9.
Ochi, Takanori, Yongjia Feng, Sho Kitamoto, et al.. (2016). Diet-dependent, microbiota-independent regulation of IL-10-producing lamina propria macrophages in the small intestine. Scientific Reports. 6(1). 27634–27634. 43 indexed citations
10.
Nagao‐Kitamoto, Hiroko, Sho Kitamoto, Peter Kuffa, & Nobuhiko Kamada. (2016). Pathogenic role of the gut microbiota in gastrointestinal diseases. Intestinal Research. 14(2). 127–127. 114 indexed citations
11.
Seo, Sang‐Uk, Peter Kuffa, Sho Kitamoto, et al.. (2015). Intestinal macrophages arising from CCR2+ monocytes control pathogen infection by activating innate lymphoid cells. Nature Communications. 6(1). 8010–8010. 63 indexed citations
12.
Kitamoto, Sho, Hiroko Nagao‐Kitamoto, Peter Kuffa, & Nobuhiko Kamada. (2015). Regulation of virulence: the rise and fall of gastrointestinal pathogens. Journal of Gastroenterology. 51(3). 195–205. 53 indexed citations
13.
Muñoz-Planillo, Raúl, et al.. (2013). K+ Efflux Is the Common Trigger of NLRP3 Inflammasome Activation by Bacterial Toxins and Particulate Matter. Immunity. 38(6). 1142–1153. 1666 indexed citations breakdown →
14.
Franchi, Luigi, Nobuhiko Kamada, Yuumi Nakamura, et al.. (2012). NLRC4-driven production of IL-1β discriminates between pathogenic and commensal bacteria and promotes host intestinal defense. Nature Immunology. 13(5). 449–456. 323 indexed citations
15.
Lucas, Peter C., Peter Kuffa, Dawn Kohrt, et al.. (2007). A dual role for the API2 moiety in API2-MALT1-dependent NF-κB activation: heterotypic oligomerization and TRAF2 recruitment. Oncogene. 26(38). 5643–5654. 47 indexed citations
16.
McAllister‐Lucas, Linda M., Jürgen Ruland, Xiaohong Jin, et al.. (2006). CARMA3/Bcl10/MALT1-dependent NF-κB activation mediates angiotensin II-responsive inflammatory signaling in nonimmune cells. Proceedings of the National Academy of Sciences. 104(1). 139–144. 140 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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