Johan Henriksson

4.6k citations
36 papers · 1.1k · h-index 17

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

    • Immune Cell Function and Interaction 7
    • Invertebrate Immune Response Mechanisms 4
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3
    • CRISPR and Genetic Engineering 8

Johan Henriksson

33 papers receiving 1.1k citations

Peers

Johan Henriksson
Comparison fields: 5 of 107
  • Aging 123
  • Immunology 230
  • Molecular Biology 745
  • Biophysics 50
  • Cancer Research 94
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Citations per field
00.5×2.9×
Fabiana M. Duarte · 1×
Citations per year

Countries citing papers authored by Johan Henriksson

Since Specialization
Citations

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

Fields of papers citing papers by Johan Henriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Johan Henriksson, 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 Johan Henriksson Line = papers co-authored together Johan Henriksson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015368
2 2019125
3 200986
4 201576
5 201860
6 201849
7 202338
8 201336
9 201830
10 201329
11 200926
12 201525
13 201023
14 201323
15 200017
16 202316
17 202316
18 202213
19 202313
20 202313

About Johan Henriksson

Johan Henriksson is a scholar working on Immunology, Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases and Aging, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Immune Cell Function and Interaction (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Mosquito-borne diseases and control (5 papers), Invertebrate Immune Response Mechanisms (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Aging (123 citations), Immunology (230 citations), Molecular Biology (745 citations), Biophysics (50 citations) and Cancer Research (94 citations). Johan Henriksson has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Sarah A. Teichmann, Thomas R. Bürglin, Kedar Nath Natarajan, Tomislav Ilicic, Aleksandra A. Kolodziejczyk, Xuefei Gao, John C. Marioni, Alex Tuck, Pentao Liu and Jong Kim. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Frontiers in Immunology, PLoS ONE and BMC Genomics.

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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