Dmitrii Bychkov

1.4k total citations
19 papers, 830 citations indexed

About

Dmitrii Bychkov is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dmitrii Bychkov has authored 19 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dmitrii Bychkov's work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers) and Influenza Virus Research Studies (5 papers). Dmitrii Bychkov is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers) and Influenza Virus Research Studies (5 papers). Dmitrii Bychkov collaborates with scholars based in Finland, Sweden and United Kingdom. Dmitrii Bychkov's co-authors include Johan Lundin, Riku Turkki, Nina Linder, Caj Haglund, Mikael Lundin, Stig Nordling, Clare Verrill, Panu E. Kovanen, Olli Kallioniemi and Sami Blom and has published in prestigious journals such as Bioinformatics, Cancer Research and Scientific Reports.

In The Last Decade

Dmitrii Bychkov

18 papers receiving 812 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dmitrii Bychkov Finland 10 375 369 219 192 106 19 830
Matahi Moarii France 9 434 1.2× 422 1.1× 215 1.0× 291 1.5× 251 2.4× 12 1.1k
Elodie Pronier United States 13 434 1.2× 419 1.1× 194 0.9× 424 2.2× 216 2.0× 17 1.2k
Thomas Clozel United States 13 439 1.2× 463 1.3× 265 1.2× 332 1.7× 248 2.3× 18 1.4k
Richard Colling United Kingdom 18 318 0.8× 263 0.7× 252 1.2× 124 0.6× 122 1.2× 47 769
Pierre Courtiol France 4 436 1.2× 418 1.1× 164 0.7× 135 0.7× 182 1.7× 7 815
Douglas Bowman United States 7 337 0.9× 214 0.6× 281 1.3× 307 1.6× 95 0.9× 8 882
Xiangxue Wang United States 13 339 0.9× 444 1.2× 241 1.1× 99 0.5× 117 1.1× 31 759
Charlie Saillard France 6 379 1.0× 433 1.2× 146 0.7× 116 0.6× 145 1.4× 12 754
Dyke Ferber Germany 11 579 1.5× 507 1.4× 386 1.8× 129 0.7× 116 1.1× 23 1.1k
Benoît Schmauch France 8 370 1.0× 448 1.2× 126 0.6× 111 0.6× 134 1.3× 14 763

Countries citing papers authored by Dmitrii Bychkov

Since Specialization
Citations

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

Fields of papers citing papers by Dmitrii Bychkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitrii Bychkov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitrii Bychkov. A scholar is included among the top collaborators of Dmitrii Bychkov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitrii Bychkov. Dmitrii Bychkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bychkov, Dmitrii, Dafne C.A. Quixabeira, Tuomo Alanko, et al.. (2025). Single-cell profiling of peripheral blood mononuclear cells from patients treated with oncolytic adenovirus TILT-123 reveals baseline immune status as a predictor of therapy outcomes. Cancer Gene Therapy. 32(6). 649–661. 1 indexed citations
2.
Suleymanova, Ilida, Dmitrii Bychkov, & Jaakko Kopra. (2023). A deep convolutional neural network for efficient microglia detection. Scientific Reports. 13(1). 11139–11139. 5 indexed citations
3.
Bychkov, Dmitrii, Heikki Joensuu, Stig Nordling, et al.. (2022). Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series. Journal of Pathology Informatics. 13. 100171–100171. 8 indexed citations
4.
Bychkov, Dmitrii, Nina Linder, Aleksei Tiulpin, et al.. (2021). Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy. Scientific Reports. 11(1). 4037–4037. 49 indexed citations
5.
Stenman, S, Dmitrii Bychkov, Nina Linder, et al.. (2020). Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma. IEEE Journal of Biomedical and Health Informatics. 25(2). 422–428. 16 indexed citations
6.
Potdar, Swapnil, Aleksandr Ianevski, John-Patrick Mpindi, et al.. (2020). Breeze: an integrated quality control and data analysis application for high-throughput drug screening. Bioinformatics. 36(11). 3602–3604. 63 indexed citations
7.
Bychkov, Dmitrii, Nina Linder, Riku Turkki, et al.. (2018). Deep learning based tissue analysis predicts outcome in colorectal cancer. Scientific Reports. 8(1). 3395–3395. 428 indexed citations
8.
Blom, Sami, Lassi Paavolainen, Dmitrii Bychkov, et al.. (2017). Systems pathology by multiplexed immunohistochemistry and whole-slide digital image analysis. Scientific Reports. 7(1). 15580–15580. 117 indexed citations
9.
Turkki, Riku, Dmitrii Bychkov, Nina Linder, et al.. (2017). Abstract 673: Exploration of tissue morphologies in breast cancer samples using unsupervised machine learning. Cancer Research. 77(13_Supplement). 673–673. 1 indexed citations
10.
Bychkov, Dmitrii, Riku Turkki, Caj Haglund, Nina Linder, & Johan Lundin. (2017). Abstract 5718: Outcome prediction in colorectal cancer using digitized tumor samples and machine learning. Cancer Research. 77(13_Supplement). 5718–5718. 1 indexed citations
11.
Saeed, Khalid, Samuli Eldfors, Dmitrii Bychkov, et al.. (2016). Abstract 608: Comprehensive drug testing of patient-derived conditionally reprogrammed cells from castration-resistant prostate cancer. Cancer Research. 76(14_Supplement). 608–608.
12.
Bychkov, Dmitrii, Riku Turkki, Caj Haglund, Nina Linder, & Johan Lundin. (2016). Deep learning for tissue microarray image-based outcome prediction in patients with colorectal cancer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9791. 979115–979115. 16 indexed citations
13.
Zinkevičienė, Auksė, Denis E. Kainov, Eglė Lastauskienė, et al.. (2015). Serum Biomarkers of Allergic Contact Dermatitis: A Pilot Study. International Archives of Allergy and Immunology. 168(3). 161–164. 11 indexed citations
14.
Bychkov, Dmitrii, Christian Benner, Samuli Ripatti, et al.. (2015). Genome-Wide Analysis of Evolutionary Markers of Human Influenza A(H1N1)pdm09 and A(H3N2) Viruses May Guide Selection of Vaccine Strain Candidates. Genome Biology and Evolution. 7(12). 3472–3483. 22 indexed citations
15.
16.
Mpindi, John-Patrick, Swapnil Potdar, Dmitrii Bychkov, et al.. (2015). Impact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose–response data. Bioinformatics. 31(23). 3815–3821. 27 indexed citations
17.
Bychkov, Dmitrii, Laura Ahtiainen, Hannimari Kallio‐Kokko, et al.. (2014). Genetic Instability of Influenza pH1N1 Viruses. Genome Announcements. 2(5). 5 indexed citations
18.
Denisova, Oxana V., Sandra Söderholm, Carina von Schantz, et al.. (2014). Akt Inhibitor MK2206 Prevents Influenza pH1N1 Virus Infection In Vitro. Antimicrobial Agents and Chemotherapy. 58(7). 3689–3696. 47 indexed citations
19.
Bychkov, Dmitrii, Hannimari Kallio‐Kokko, Miia Valkonen, et al.. (2014). Influenza pH1N1 Virus Accumulated H275Y Mutation in Neuraminidase during Propagation in MDCK Cells. Genome Announcements. 2(6). 5 indexed citations

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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