Mikko Siurala

1.4k citations
28 papers · 1.0k · h-index 19

Impact in

  • Oncology top 2%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Genetics top 2%
    • Virus-based gene therapy research

Papers in

    • CAR-T cell therapy research 26
    • Cancer Immunotherapy and Biomarkers 1
    • Virus-based gene therapy research 24

Mikko Siurala

27 papers receiving 1.0k citations

Peers

Mikko Siurala
Comparison fields: 5 of 44
  • Oncology 843
  • Genetics 703
  • Biotechnology 181
  • Immunology 303
  • Molecular Biology 320
Replace João M. Santos with:
João M. Santos Finland
Riikka Havunen Finland
Roshni Ravindranathan United States
Mathilde Feist Germany
Minna Oksanen Finland
Suvi Sorsa Finland
Amanda Rosewell Shaw United States
Mena Mansour United States
Sari Pesonen Finland
Laura Evgin United States
Mikko Siurala relative to João M. Santos Finland João M. Santos's profile →
Citations per field
00.5×12.3×
João M. Santos · 1×
Citations per year

Countries citing papers authored by Mikko Siurala

Since Specialization
Citations

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

Fields of papers citing papers by Mikko Siurala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018218
2 2017104
3 201894
4 201559
5 202057
6 201450
7 201849
8 201845
9 201644
10 201536
11 202135
12 202035
13 202334
14 201832
15 201431
16 201627
17 202025
18 201622
19 201718
20 201616

About Mikko Siurala

Mikko Siurala is a scholar working on Oncology, Genetics, Molecular Biology, Immunology and Biotechnology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (26 papers), Virus-based gene therapy research (24 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Cancer Research and Treatments (8 papers), Immunotherapy and Immune Responses (6 papers), Sarcoma Diagnosis and Treatment (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Oncology (843 citations), Genetics (703 citations), Biotechnology (181 citations), Immunology (303 citations) and Molecular Biology (320 citations). Mikko Siurala has collaborated with scholars based in Finland, United States and Netherlands. Frequent co-authors include Akseli Hemminki, Riikka Havunen, Siri Tähtinen, Anna Kanerva, Suvi Sorsa, João M. Santos, Víctor Cervera-Carrascón, Markus Vähä‐Koskela, Carl H. June and Sadia Zafar. Their work appears in journals such as OncoImmunology, Molecular Therapy — Oncolytics, Cancer Immunology Research, International Journal of Cancer and Molecular Therapy.

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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