O. Mäkelä

923 citations
174 papers · 5.8k · h-index 42

Impact in

Papers in

O. Mäkelä

168 papers receiving 4.9k citations

Peers

O. Mäkelä
Comparison fields: 5 of 120
  • Immunology 2.6k
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Microbiology 278
  • Parasitology 238
  • Hematology 281
Replace Stephen J. Prowse with:
Stephen J. Prowse Australia
Nicholas Avrion Mitchison United Kingdom
Hervé Bazin Belgium
Doris Scheidegger Switzerland
Claus Koch Denmark
Joseph M. Davie United States
Robert R Dourmashkin United Kingdom
Heinz Köhler United States
Steven Kessler United States
Ricardo U. Sorensen United States
O. Mäkelä relative to Stephen J. Prowse Australia Stephen J. Prowse's profile →
Citations per field
00.5×2×4×5.7×
Stephen J. Prowse · 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 25 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

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985358
2 1989292
3 1962204
4 1974163
5 1977157
6 1984150
7 1962132
8 1986121
9
Effect of the number of haptens coupled to each erythrocyte on haemolytic plaque formation.
1969119
10 1970112
11 1981109
12 1983109
13
Assay of anti-hapten antibody with the aid of hapten-coupled bacteriophage.
1966105
14
Studies in hemagglutinins of leguminosae seeds.
195799
15 198388
16 198486
17 197085
18 197783
19 196175
20 198769

About O. Mäkelä

O. Mäkelä is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Hematology, Microbiology and Genetics, having authored 174 papers that have together received 5.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (89 papers), T-cell and B-cell Immunology (81 papers), Immunotherapy and Immune Responses (13 papers), Blood groups and transfusion (12 papers), Bacteriophages and microbial interactions (5 papers), Bacterial Infections and Vaccines (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Immunology (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.6k citations), Microbiology (278 citations), Parasitology (238 citations) and Hematology (281 citations). O. Mäkelä has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include G. J. V. Nossal, Ilkka Seppälä, Heikki O. Sarvas, Thereza Imanishi‐Kari, Pentti Kuusela, Klaus Karjalainen, Maija Lappalainen, Klaus Hedman, Kari Karjalainen and Ferenc Péterfy. Their work appears in journals such as The Journal of Immunology, Scandinavian Journal of Immunology, European Journal of Immunology, The Journal of Experimental Medicine and Nature.

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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