Jatta Huotari

11 total papers · 3.4k total citations
9 papers, 2.7k citations indexed

About

Jatta Huotari is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Jatta Huotari has authored 9 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Jatta Huotari's work include Cellular transport and secretion (4 papers), Immunotherapy and Immune Responses (3 papers) and Ubiquitin and proteasome pathways (2 papers). Jatta Huotari is often cited by papers focused on Cellular transport and secretion (4 papers), Immunotherapy and Immune Responses (3 papers) and Ubiquitin and proteasome pathways (2 papers). Jatta Huotari collaborates with scholars based in Switzerland, United Kingdom and United States. Jatta Huotari's co-authors include Ari Helenius, Caetano Reis e Sousa, Delphine Goubau, Santiago Zelenay, Julie Helft, Probir Chakravarty, Barbara U. Schraml, Jan P. Böttcher, Pierre‐Yves Lozach and Nathalie Meyer‐Schaller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Immunity.

In The Last Decade

Jatta Huotari

9 papers receiving 2.7k citations

Hit Papers

Endosome maturation 2011 2026 2016 2021 2011 2015 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Jatta Huotari 1.4k 788 723 441 265 9 2.7k
Cameron C. Scott 1.6k 1.1× 604 0.8× 1.1k 1.5× 668 1.5× 323 1.2× 28 3.5k
Christiane Rondeau 1.2k 0.8× 849 1.1× 539 0.7× 780 1.8× 159 0.6× 13 2.6k
Nicholas J. Buchkovich 1.5k 1.0× 290 0.4× 934 1.3× 614 1.4× 141 0.5× 22 2.3k
Timo Meerloo 1.4k 1.0× 464 0.6× 1.2k 1.6× 246 0.6× 160 0.6× 23 2.4k
Rachel Meyers 2.6k 1.8× 369 0.5× 895 1.2× 628 1.4× 193 0.7× 31 3.7k
Ramiro Massol 2.3k 1.6× 922 1.2× 1.3k 1.8× 413 0.9× 131 0.5× 27 4.0k
Michael Hull 1.8k 1.3× 818 1.0× 1.4k 1.9× 156 0.4× 185 0.7× 24 3.0k
Simon Moshiach 924 0.7× 541 0.7× 510 0.7× 911 2.1× 225 0.8× 16 2.2k
Sean S. Molloy 2.1k 1.5× 356 0.5× 1.1k 1.6× 285 0.6× 102 0.4× 19 3.2k
Jennifer Garrus 1.2k 0.9× 691 0.9× 627 0.9× 446 1.0× 74 0.3× 19 2.7k

Countries citing papers authored by Jatta Huotari

Since Specialization
Citations

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

Fields of papers citing papers by Jatta Huotari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jatta Huotari

This figure shows the co-authorship network connecting the top 25 collaborators of Jatta Huotari. A scholar is included among the top collaborators of Jatta Huotari 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 Jatta Huotari. Jatta Huotari 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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