Daniil Stroyakovskiy

23.4k total citations · 9 hit papers
114 papers, 8.7k citations indexed

About

Daniil Stroyakovskiy is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Daniil Stroyakovskiy has authored 114 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Oncology, 47 papers in Pulmonary and Respiratory Medicine and 31 papers in Cancer Research. Recurrent topics in Daniil Stroyakovskiy's work include HER2/EGFR in Cancer Research (32 papers), Colorectal Cancer Treatments and Studies (28 papers) and Melanoma and MAPK Pathways (24 papers). Daniil Stroyakovskiy is often cited by papers focused on HER2/EGFR in Cancer Research (32 papers), Colorectal Cancer Treatments and Studies (28 papers) and Melanoma and MAPK Pathways (24 papers). Daniil Stroyakovskiy collaborates with scholars based in Russia, United States and Spain. Daniil Stroyakovskiy's co-authors include Federico Cappuzzo, Delvys Rodríguez‐Abreu, Robert M. Jotte, Mark A. Socinski, Denis Moro‐Sibilot, Fabrice Barlési, Francesco Orlandi, Naoyuki Nogami, Anthony Lee and Christian A. Thomas and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Daniil Stroyakovskiy

104 papers receiving 8.6k citations

Hit Papers

Atezolizumab for First-Line Treatment of Metastatic Nonsq... 2014 2026 2018 2022 2018 2014 2019 2020 2023 500 1000 1.5k 2.0k 2.5k

Peers

Daniil Stroyakovskiy
Comparison fields: 5 of 100
  • Oncology 7.2k
  • Pulmonary and Respiratory Medicine 3.7k
  • Molecular Biology 2.6k
  • Immunology 1.4k
  • Cancer Research 1.2k
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Citations per field, relative to Daniil Stroyakovskiy
Daniil Stroyakovskiy · 1×
Citations per year, relative to Daniil Stroyakovskiy
Daniil Stroyakovskiy · 1×

Countries citing papers authored by Daniil Stroyakovskiy

Since Specialization
Citations

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

Fields of papers citing papers by Daniil Stroyakovskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniil Stroyakovskiy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniil Stroyakovskiy. A scholar is included among the top collaborators of Daniil Stroyakovskiy 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 Daniil Stroyakovskiy. Daniil Stroyakovskiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 0
5 2
6 0
7 1
8 9
9 1
10 3
11
Trifluridine–Tipiracil and Bevacizumab in Refractory Metastatic Colorectal Cancer breakdown →
183
12 9
13 119
14 0
15 12
16 5
17 25
18 1
19
Combined Vemurafenib and Cobimetinib in BRAF -Mutated Melanoma breakdown →
1491
20 81

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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