Ivan J. Fuss

202 total papers · 22.8k total citations
119 papers, 18.2k citations indexed

About

Ivan J. Fuss is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, Ivan J. Fuss has authored 119 papers receiving a total of 18.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Immunology, 41 papers in Genetics and 25 papers in Surgery. Recurrent topics in Ivan J. Fuss's work include Inflammatory Bowel Disease (38 papers), Immune Cell Function and Interaction (31 papers) and IL-33, ST2, and ILC Pathways (28 papers). Ivan J. Fuss is often cited by papers focused on Inflammatory Bowel Disease (38 papers), Immune Cell Function and Interaction (31 papers) and IL-33, ST2, and ILC Pathways (28 papers). Ivan J. Fuss collaborates with scholars based in United States, Germany and Japan. Ivan J. Fuss's co-authors include Warren Strober, Atsushi Kitani, Richard S. Blumberg, Markus F. Neurath, Peter Mannon, Monica Boirivant, Brian L. Kelsall, Frank Heller, MF Neurath and E. Stüber and has published in prestigious journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.

In The Last Decade

Ivan J. Fuss

117 papers receiving 17.8k citations

Hit Papers

Antibodies to interleukin... 1995 2026 2005 2015 1995 2002 2007 1996 2011 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ivan J. Fuss 10.1k 6.0k 4.9k 3.0k 2.8k 119 18.2k
Mathias Chamaillard 8.3k 0.8× 4.9k 0.8× 6.3k 1.3× 3.5k 1.2× 2.7k 1.0× 116 17.2k
Charles O. Elson 12.6k 1.2× 6.0k 1.0× 6.2k 1.3× 3.9k 1.3× 3.3k 1.2× 217 23.6k
Claudio Fiocchi 5.5k 0.5× 7.0k 1.2× 3.8k 0.8× 3.8k 1.3× 3.7k 1.4× 247 15.5k
Stefan Wirtz 6.0k 0.6× 3.1k 0.5× 3.8k 0.8× 1.8k 0.6× 2.0k 0.7× 153 12.6k
Thomas T. MacDonald 10.1k 1.0× 7.2k 1.2× 5.6k 1.1× 4.5k 1.5× 4.5k 1.6× 320 23.8k
Christoph Becker 9.2k 0.9× 3.6k 0.6× 6.8k 1.4× 2.1k 0.7× 2.3k 0.8× 187 20.0k
Martin F. Kagnoff 8.1k 0.8× 2.6k 0.4× 4.6k 1.0× 3.1k 1.0× 3.1k 1.1× 208 19.0k
Francesco Pallone 7.2k 0.7× 5.6k 0.9× 3.2k 0.7× 3.8k 1.3× 3.8k 1.4× 345 16.0k
D Rennick 10.7k 1.1× 3.2k 0.5× 3.7k 0.8× 2.4k 0.8× 2.0k 0.7× 80 18.2k
Evelyn A. Kurt‐Jones 9.8k 1.0× 2.8k 0.5× 6.5k 1.3× 6.2k 2.1× 1.7k 0.6× 139 20.3k

Countries citing papers authored by Ivan J. Fuss

Since Specialization
Citations

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

Fields of papers citing papers by Ivan J. Fuss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan J. Fuss. 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 Ivan J. Fuss. The network helps show where Ivan J. Fuss may publish in the future.

Co-authorship network of co-authors of Ivan J. Fuss

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

All Works

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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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