Siru Mäkelä

1.7k citations
27 papers · 711 · h-index 11

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 10
    • CAR-T cell therapy research 6
    • Melanoma and MAPK Pathways 4
    • Ion Transport and Channel Regulation 3
    • Ion channel regulation and function 3

Siru Mäkelä

26 papers receiving 679 citations

Peers

Siru Mäkelä
Comparison fields: 5 of 81
  • Gastroenterology 41
  • Sensory Systems 31
  • Oncology 146
  • Nephrology 38
  • Pulmonary and Respiratory Medicine 161
Replace Katsutoshi Kawasaki with:
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Yuki Fujioka Japan
Margaret M. McDaniel United States
Matthew Donne United States
N Ionescu Romania
Joanne M. McCormack United States
Marian L. Rivas United States
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Siru Mäkelä relative to Katsutoshi Kawasaki Japan Katsutoshi Kawasaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Siru Mäkelä

Since Specialization
Citations

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

Fields of papers citing papers by Siru Mäkelä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002199
2 2002124
3 201195
4 202365
5 200258
6 202125
7 200419
8 201817
9 202017
10 201816
11 201314
12 20209
13 20217
14 20227
15 20176
16 20236
17 20055
18 20214
19 20224
20 20193

About Siru Mäkelä

Siru Mäkelä is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 27 papers that have together received 711 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (6 papers), Melanoma and MAPK Pathways (4 papers), Ion Transport and Channel Regulation (3 papers), Immune Cell Function and Interaction (3 papers), Ion channel regulation and function (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Gastroenterology (41 citations), Sensory Systems (31 citations), Oncology (146 citations), Nephrology (38 citations) and Pulmonary and Respiratory Medicine (161 citations). Siru Mäkelä has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Juha Kere, Pia Höglund, Christer Holmberg, Hannes Lohi, Ulpu Saarialho‐Kere, Minna Kujala, Eero Lehtonen, Marjo Kestilä, Daniel Markovich and Satu Wedenoja. Their work appears in journals such as Acta Oncologica, Melanoma Research, Human Mutation, Cancer Immunology Research and Molecular Human Reproduction.

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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