O. Mäkelä

912 citations
19 papers · 779 · h-index 13

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Monoclonal and Polyclonal Antibodies Research

Papers in

O. Mäkelä

18 papers receiving 621 citations

Peers

O. Mäkelä
Comparison fields: 5 of 88
  • Immunology 342
  • Radiology, Nuclear Medicine and Imaging 271
  • Hematology 60
  • Immunology and Allergy 28
  • Endocrinology 23
Replace H. B. Levy with:
H. B. Levy United States
Bernard Cinader Canada
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Citations per field
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H. B. Levy · 1×
Citations per year

Countries citing papers authored by O. Mäkelä

Since Specialization
Citations

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

Fields of papers citing papers by O. Mäkelä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside O. Mäkelä, 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 O. Mäkelä Line = papers co-authored together O. Mäkelä links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1962205
2 198390
3 196175
4 196265
5 196564
6 197945
7 196244
8 196942
9 196232
10 196730
11
Specifically cytotoxic human and mouse lymphoid cells induced with antibody or antigen-antibody complexes.
197524
12 196124
13 197318
14 19596
15
Cell interactions and receptor antibodies in immune responses : proceedings of the third Sigrid Jusélius symposium
19715
16 19614
17
Some new blood group specific phytagglutinins; a preliminary report.
19563
18
Cellular proliferation in immunity.
19623
19
Genetic aspects of antibody formation.
19980

About O. Mäkelä

O. Mäkelä is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology, Immunology, Molecular Biology and Genetics, having authored 19 papers that have together received 779 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (4 papers), Glycosylation and Glycoproteins Research (3 papers), Blood groups and transfusion (3 papers), Diabetes and associated disorders (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Immunology (342 citations), Radiology, Nuclear Medicine and Imaging (271 citations), Hematology (60 citations), Immunology and Allergy (28 citations) and Endocrinology (23 citations). O. Mäkelä has collaborated with scholars based in Finland, United States and Denmark. Frequent co-authors include G. J. V. Nossal, Pentti Kuusela, Ferenc Péterfy, Christian Ehnholm, Erkki I. Ruoslahti, Timo U. Kosunen, Lars R. Holsti, Carl Gustav Gahmberg, Turgut İmir and EERO SAKSELA. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Plastic & Reconstructive Surgery, International Journal of Cancer and Annual Review of Microbiology.

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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