Johanna Ulvila

29 total papers · 2.3k total citations
25 papers, 1.7k citations indexed

About

Johanna Ulvila is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Johanna Ulvila has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Johanna Ulvila's work include Invertebrate Immune Response Mechanisms (9 papers), Insect symbiosis and bacterial influences (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Johanna Ulvila is often cited by papers focused on Invertebrate Immune Response Mechanisms (9 papers), Insect symbiosis and bacterial influences (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Johanna Ulvila collaborates with scholars based in Finland, United States and Sweden. Johanna Ulvila's co-authors include Mika Rämet, Anni Kleino, Risto Kerkelä, Johanna Magga, R. Alan B. Ezekowitz, Susanna Valanne, Christine Kocks, Jenni Kallio, Dan Hultmark and Leena-Maija Vanha-aho and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Johanna Ulvila

25 papers receiving 1.7k citations

Hit Papers

Eater, a Transmembrane Pr... 2005 2026 2012 2019 2005 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Johanna Ulvila 831 655 650 337 216 25 1.7k
In-Hwan Jang 1.0k 1.2× 582 0.9× 706 1.1× 381 1.1× 35 0.2× 33 1.7k
Daiwu Kang 1.1k 1.3× 362 0.6× 502 0.8× 272 0.8× 31 0.1× 19 1.5k
Claudine Neyen 838 1.0× 359 0.5× 430 0.7× 184 0.5× 27 0.1× 17 1.3k
Paulo S. Ribeiro 315 0.4× 639 1.0× 203 0.3× 130 0.4× 34 0.2× 19 1.5k
Eric Lelièvre 758 0.9× 553 0.8× 171 0.3× 167 0.5× 30 0.1× 36 1.6k
Young Sik Lee 396 0.5× 1.6k 2.5× 182 0.3× 206 0.6× 52 0.2× 28 2.3k
Jason Karpac 708 0.9× 677 1.0× 373 0.6× 474 1.4× 14 0.1× 26 1.7k
Takeshi Akasaka 351 0.4× 806 1.2× 49 0.1× 368 1.1× 265 1.2× 45 1.7k
Ian A. Shiels 907 1.1× 409 0.6× 61 0.1× 74 0.2× 74 0.3× 48 1.9k
Kyriacos Markianos 269 0.3× 546 0.8× 186 0.3× 108 0.3× 131 0.6× 35 1.6k

Countries citing papers authored by Johanna Ulvila

Since Specialization
Citations

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

Fields of papers citing papers by Johanna Ulvila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johanna Ulvila

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