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Tero Aittokallio

Tero Aittokallio

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Engineering and Technology
Finland
2026

D-Index & Metrics

Biology and Biochemistry

D-Index
75
Citations
20160
World Ranking
5312
National Ranking
42

Engineering and Technology

D-Index
62
Citations
16254
World Ranking
1876
National Ranking
8

Tero Aittokallio publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Tero Aittokallio sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 218 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Tero Aittokallio D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Tero Aittokallio sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 62 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Finland Leader Award
  • 2025 - Research.com Engineering and Technology in Finland Leader Award

Overview

Tero Aittokallio is affiliated with the University of Helsinki in Finland and has conducted extensive research primarily in the fields of Biochemistry, Genetics and Molecular Biology, as well as Medicine. Their work encompasses multiple subfields, notably Molecular Biology, Computational Theory and Mathematics, Genetics, Immunology, and Cancer Research.

The scientist's research focus covers key topics such as Computational Drug Discovery Methods, Bioinformatics and Genomic Networks, Cell Image Analysis Techniques, Acute Myeloid Leukemia Research, Chronic Lymphocytic Leukemia Research, Cancer Genomics and Diagnostics, and Gene expression and cancer classification.

Among recent scholarly publications are:

  • SynergyFinder 2.0: visual analytics of multi-drug combination synergies, 2020, Nucleic Acids Research
  • Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data, 2022, Nature Communications
  • SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples, 2022, Nucleic Acids Research
  • Artificial intelligence, machine learning, and drug repurposing in cancer, 2021, Expert Opinion on Drug Discovery
  • Implementing a Functional Precision Medicine Tumor Board for Acute Myeloid Leukemia, 2021, Cancer Discovery

Frequent co-authors in research projects include:

  • Aleksandr Ianevski
  • Krister Wennerberg
  • Satu Mustjoki
  • Kimmo Porkka
  • Heikki Kuusanmäki

The primary venues for publication reflect a focus on biomedical and cancer research disciplines:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Zenodo (CERN European Organization for Nuclear Research)
  • Bioinformatics
  • Leukemia

Best Publications

  • SynergyFinder 2.0: visual analytics of multi-drug combination synergies.

    Aleksandr Ianevski;Aleksandr Ianevski;Anil K. Giri;Tero Antero Aittokallio

  • Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

    Unknown

  • Searching for Drug Synergy in Complex Dose–Response Landscapes Using an Interaction Potency Model

    Bhagwan Yadav;Krister Wennerberg;Tero Aittokallio;Jing Tang

  • SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples

    Unknown

  • Graph-based methods for analysing networks in cell biology

    Tero Aittokallio;Benno Schwikowski

  • Making sense of large-scale kinase inhibitor bioactivity data sets: a comparative and integrative analysis.

    Jing Tang;Agnieszka Szwajda;Sushil Shakyawar;Tao Xu

  • Toward more realistic drug–target interaction predictions

    Tapio Pahikkala;Antti Airola;Sami Pietilä;Sushil Shakyawar

  • SynergyFinder: a web application for analyzing drug combination dose-response matrix data.

    Aleksandr Ianevski;Liye He;Tero Aittokallio;Tero Aittokallio;Jing Tang;Jing Tang

  • Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products

    Milla Kibble;Niina Saarinen;Jing Tang;Krister Wennerberg

  • Individualized Systems Medicine Strategy to Tailor Treatments for Patients with Chemorefractory Acute Myeloid Leukemia

    Tea Pemovska;Mika Kontro;Bhagwan Yadav;Henrik Edgren

  • Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies

    Bhagwan Yadav;Tea Pemovska;Agnieszka Szwajda;Evgeny Kulesskiy

  • Methods for High-throughput Drug Combination Screening and Synergy Scoring.

    Liye He;Evgeny Kulesskiy;Jani Saarela;Laura Turunen

  • Machine learning and feature selection for drug response prediction in precision oncology applications

    Mehreen Ali;Tero Aittokallio;Tero Aittokallio;Tero Aittokallio

  • What is synergy? The Saariselkä agreement revisited.

    Jing Tang;Krister Wennerberg;Tero Aittokallio

  • Integrated drug profiling and CRISPR screening identify essential pathways for CAR T-cell cytotoxicity.

    Olli Dufva;Jan Koski;Pilvi Maliniemi;Aleksandr Ianevski;Aleksandr Ianevski

  • Dealing with missing values in large-scale studies: microarray data imputation and beyond

    Tero Aittokallio

  • Susceptibility of low-density lipoprotein particles to aggregate depends on particle lipidome, is modifiable, and associates with future cardiovascular deaths

    Maija Ruuth;Su Duy Nguyen;Terhi Marjut Vihervaara;Mika Hilvo

  • Regularized Machine Learning in the Genetic Prediction of Complex Traits

    Sebastian Okser;Tapio Pahikkala;Antti Airola;Tapio Salakoski

  • Artificial intelligence, machine learning, and drug repurposing in cancer.

    Ziaurrehman Tanoli;Markus Vähä-Koskela;Tero Aittokallio;Tero Aittokallio;Tero Aittokallio

  • Implementing a functional precision medicine tumor board for acute myeloid leukemia.

    Disha Malani;Ashwini Kumar;Oscar Bruck;Mika Kontro

  • Genome-wide profiling of interleukin-4 and STAT6 transcription factor regulation of human Th2 cell programming.

    Laura L. Elo;Henna Järvenpää;Soile Tuomela;Sunil Raghav

  • Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

    Justin Guinney;Tao Wang;Teemu D Laajala;Teemu D Laajala;Kimberly Kanigel Winner

  • Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis

    Solveig K. Sieberts;Fan Zhu;Javier García-García;Eli Stahl

  • Corrigendum to "Searching for drug synergy in complex dose-response landscapes using an interaction potency model" [Comput. Struct. Biotechnol. J. 13 (2015) 504-513].

    Bhagwan Yadav;Krister Wennerberg;Tero Aittokallio;Jing Tang

Frequent Co-Authors

Olli Kallioniemi
Olli Kallioniemi Karolinska Institute
Kimmo Porkka
Kimmo Porkka University of Helsinki
Riitta Lahesmaa
Riitta Lahesmaa Åbo Akademi University
Matti Poutanen
Matti Poutanen University of Turku
Satu Mustjoki
Satu Mustjoki University of Helsinki
Tapio Pahikkala
Tapio Pahikkala University of Turku
Jukka Westermarck
Jukka Westermarck Åbo Akademi University
Mats Gyllenberg
Mats Gyllenberg University of Helsinki
Samuel Kaski
Samuel Kaski Aalto University
Sampsa Matikainen
Sampsa Matikainen University of Helsinki

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