Tor Lea

4.3k citations
83 papers · 3.6k · h-index 35

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Complement system in diseases
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Hematology top 5%

Papers in

Tor Lea

80 papers receiving 3.4k citations

Peers

Tor Lea
Comparison fields: 5 of 133
  • Immunology 1.1k
  • Hematology 288
  • Immunology and Allergy 117
  • Radiology, Nuclear Medicine and Imaging 415
  • Molecular Biology 1.2k
Replace Kikuo Onozaki with:
Kikuo Onozaki Japan
Nancy C. Fiore United States
Uki Yamashita Japan
Rolf Seljelid Norway
Marie‐Luise Lohmann‐Matthes Germany
Kazunori Onoé Japan
Kurt Berg Denmark
Sílvia Passos Andrade Brazil
Klaus Huse Germany
George F. Babcock United States
Tor Lea relative to Kikuo Onozaki Japan Kikuo Onozaki's profile →
Citations per field
00.5×2×2.5×
Kikuo Onozaki · 1×
Citations per year

Countries citing papers authored by Tor Lea

Since Specialization
Citations

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

Fields of papers citing papers by Tor Lea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tor Lea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tor Lea Line = papers co-authored together Tor Lea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985320
2 1994185
3 1992171
4 2015169
5 1985151
6 1988128
7 2013105
8 1986101
9 198998
10 199397
11 199391
12 201791
13 199489
14 198286
15 198784
16 200268
17 200067
18 198664
19 199863
20 201262

About Tor Lea

Tor Lea is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Hematology, Molecular Biology and Rheumatology, having authored 83 papers that have together received 3.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (20 papers), T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (11 papers), Gut microbiota and health (9 papers), Complement system in diseases (7 papers), Blood groups and transfusion (6 papers), Signaling Pathways in Disease (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Immunology (1.1k citations), Hematology (288 citations), Immunology and Allergy (117 citations), Radiology, Nuclear Medicine and Imaging (415 citations) and Molecular Biology (1.2k citations). Tor Lea has collaborated with scholars based in Norway, Denmark and India. Frequent co-authors include Morten Harboe, Charlotte Ramstad Kleiveland, Tom Eirik Mollnes, Stig Sophus Frøland, Tore Jahnsen, Bjørn Steen Skålhegg, JOHN UGELSTAD, Tom E. Mollnes, F Vartdal and Catharina de Lange Davies. Their work appears in journals such as Scandinavian Journal of Immunology, Journal of Biological Chemistry, PLoS ONE, Applied and Environmental Microbiology and Scandinavian Journal of Rheumatology.

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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