Hanna Tukachinsky

174 total papers · 2.1k total citations
45 papers, 1.3k citations indexed

About

Hanna Tukachinsky is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Hanna Tukachinsky has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cancer Research, 23 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Hanna Tukachinsky's work include Cancer Genomics and Diagnostics (24 papers), Prostate Cancer Treatment and Research (14 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Hanna Tukachinsky is often cited by papers focused on Cancer Genomics and Diagnostics (24 papers), Prostate Cancer Treatment and Research (14 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Hanna Tukachinsky collaborates with scholars based in United States, Italy and Spain. Hanna Tukachinsky's co-authors include Adrian Salic, Lyle V. Lopez, Tom A. Rapoport, Songyu Wang, Fabian B. Romano, Cindy Y. Jao, Jing Liu, Ryan Kuzmickas, Geoffrey R. Oxnard and Miyako Watanabe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Hanna Tukachinsky

44 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hanna Tukachinsky 932 336 247 240 236 45 1.3k
Nathalie Conte 965 1.0× 266 0.8× 167 0.7× 178 0.7× 215 0.9× 33 1.4k
Basil A. Horst 850 0.9× 332 1.0× 147 0.6× 111 0.5× 288 1.2× 45 1.5k
Keisuke Nimura 1.3k 1.3× 282 0.8× 105 0.4× 168 0.7× 232 1.0× 43 1.8k
Jonas Larsson 1.2k 1.2× 175 0.5× 165 0.7× 134 0.6× 131 0.6× 50 1.7k
Craig April 947 1.0× 204 0.6× 271 1.1× 148 0.6× 506 2.1× 41 1.8k
Pamela J. Swiatek 896 1.0× 140 0.4× 170 0.7× 376 1.6× 195 0.8× 22 1.4k
Naotoshi Kanda 1.0k 1.1× 380 1.1× 91 0.4× 131 0.5× 306 1.3× 40 1.7k
Jana Karásková 873 0.9× 270 0.8× 108 0.4× 116 0.5× 333 1.4× 22 1.4k
Julie Koeman 917 1.0× 169 0.5× 286 1.2× 150 0.6× 460 1.9× 25 1.5k
Juha Rantala 1.3k 1.4× 129 0.4× 217 0.9× 362 1.5× 453 1.9× 45 1.8k

Countries citing papers authored by Hanna Tukachinsky

Since Specialization
Citations

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

Fields of papers citing papers by Hanna Tukachinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Tukachinsky

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

All Works

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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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