Tomáš Skácel

66 total papers · 1.9k total citations
33 papers, 1.0k citations indexed

About

Tomáš Skácel is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Tomáš Skácel has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 10 papers in Hematology and 9 papers in Molecular Biology. Recurrent topics in Tomáš Skácel's work include Neutropenia and Cancer Infections (14 papers), Multiple Myeloma Research and Treatments (8 papers) and Cancer Treatment and Pharmacology (8 papers). Tomáš Skácel is often cited by papers focused on Neutropenia and Cancer Infections (14 papers), Multiple Myeloma Research and Treatments (8 papers) and Cancer Treatment and Pharmacology (8 papers). Tomáš Skácel collaborates with scholars based in Switzerland, United States and Germany. Tomáš Skácel's co-authors include Gϋnter von Minckwitz, Linda D. Bosserman, Richárd Márkus, Guozhi Gao, Karim Fizazi, Paul G. Richardson, Matthias Schwenkglenks, Sibylle Loibl, Shaji Kumar and Jacob P. Laubach and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Urology.

In The Last Decade

Tomáš Skácel

32 papers receiving 998 citations

Author Peers

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

Author Last Decade Papers Cites
Tomáš Skácel 814 339 279 249 190 33 1.0k
Reginald P. Pugh 582 0.7× 171 0.5× 217 0.8× 270 1.1× 177 0.9× 34 1.1k
I Tepler 681 0.8× 332 1.0× 217 0.8× 151 0.6× 97 0.5× 19 1.1k
J J Costanzi 642 0.8× 187 0.6× 295 1.1× 284 1.1× 87 0.5× 36 1.2k
S. Vukelja 706 0.9× 109 0.3× 178 0.6× 82 0.3× 368 1.9× 30 910
M Hunt 589 0.7× 408 1.2× 106 0.4× 268 1.1× 52 0.3× 21 999
Pascale Lepelley 367 0.5× 743 2.2× 375 1.3× 97 0.4× 89 0.5× 51 1.2k
Heinz Tüchler 215 0.3× 325 1.0× 138 0.5× 165 0.7× 143 0.8× 38 867
Jacques Camerlo 450 0.6× 212 0.6× 172 0.6× 163 0.7× 50 0.3× 50 934
Juliana Di Iulio 644 0.8× 130 0.4× 317 1.1× 221 0.9× 60 0.3× 34 1.1k
Ulrich‐Peter Rohr 514 0.6× 224 0.7× 285 1.0× 295 1.2× 44 0.2× 25 1.1k

Countries citing papers authored by Tomáš Skácel

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Skácel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Skácel

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Skácel. A scholar is included among the top collaborators of Tomáš Skácel 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 Tomáš Skácel. Tomáš Skácel 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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