Leif Håkansson

34 total papers · 1.8k total citations
25 papers, 472 citations indexed

About

Leif Håkansson is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Leif Håkansson has authored 25 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Oncology. Recurrent topics in Leif Håkansson's work include Reproductive System and Pregnancy (4 papers), Immunotherapy and Immune Responses (3 papers) and Polyamine Metabolism and Applications (2 papers). Leif Håkansson is often cited by papers focused on Reproductive System and Pregnancy (4 papers), Immunotherapy and Immune Responses (3 papers) and Polyamine Metabolism and Applications (2 papers). Leif Håkansson collaborates with scholars based in Sweden, Switzerland and France. Leif Håkansson's co-authors include Claes G. Tropé, Mary L. Disis, Sacha Gnjatic, Jérôme Galon, Vaios Karanikas, Marcus O. Butler, Brent A. Hanks, John M. Kirkwood, Vincenzo Bronte and Laura Rosa Brunet and has published in prestigious journals such as Cancer, Fertility and Sterility and Cancers.

In The Last Decade

Leif Håkansson

22 papers receiving 432 citations

Author Peers

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

Author Last Decade Papers Cites
Leif Håkansson 262 139 121 96 93 25 472
Giulia Tasca 266 1.0× 101 0.7× 104 0.9× 60 0.6× 80 0.9× 26 490
C. von Schilling 179 0.7× 133 1.0× 186 1.5× 98 1.0× 90 1.0× 22 497
Philippe C. Bishop 166 0.6× 67 0.5× 146 1.2× 110 1.1× 99 1.1× 17 499
Tuula Lehtinen 201 0.8× 135 1.0× 238 2.0× 43 0.4× 39 0.4× 26 463
Lukas Marcelis 185 0.7× 97 0.7× 138 1.1× 101 1.1× 33 0.4× 26 482
Kaija Vasala 250 1.0× 56 0.4× 154 1.3× 92 1.0× 56 0.6× 27 475
M. Saunders 142 0.5× 129 0.9× 181 1.5× 71 0.7× 71 0.8× 24 503
Lee Wisner 195 0.7× 117 0.8× 77 0.6× 217 2.3× 89 1.0× 21 543
Barbara Burroni 220 0.8× 92 0.7× 105 0.9× 75 0.8× 108 1.2× 37 439
H. Gadner 108 0.4× 135 1.0× 73 0.6× 207 2.2× 227 2.4× 21 510

Countries citing papers authored by Leif Håkansson

Since Specialization
Citations

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

Fields of papers citing papers by Leif Håkansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leif Håkansson

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