Alexander Savchenko

104 total papers · 403 total citations
17 papers, 144 citations indexed

About

Alexander Savchenko is a scholar working on Oncology, Immunology and Surgery. According to data from OpenAlex, Alexander Savchenko has authored 17 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Immunology and 4 papers in Surgery. Recurrent topics in Alexander Savchenko's work include Cancer Immunotherapy and Biomarkers (7 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Alexander Savchenko is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Alexander Savchenko collaborates with scholars based in United States, Italy and Austria. Alexander Savchenko's co-authors include Michael P. Sanderson, Norbert Kraut, S. Yu. Zavalishina, Andreas Zoephel, Yasushi Yatabe, Jan C. Brase, Günther R. Adolf, Otmar Schaaf, Dirk Schadendorf and James E. Garrett and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Alexander Savchenko

14 papers receiving 137 citations

Author Peers

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

Author Last Decade Papers Cites
Alexander Savchenko 58 53 42 39 36 17 144
Marie Karlíková 44 0.8× 46 0.9× 48 1.1× 52 1.3× 25 0.7× 21 231
Elena Gallego 57 1.0× 110 2.1× 75 1.8× 56 1.4× 30 0.8× 21 231
Tarek Abdel‐Aziz 133 2.3× 45 0.8× 32 0.8× 25 0.6× 103 2.9× 27 224
Amelia Sybenga 87 1.5× 52 1.0× 30 0.7× 47 1.2× 23 0.6× 16 255
Jan‐Willem B. de Groot 35 0.6× 108 2.0× 19 0.5× 44 1.1× 68 1.9× 12 179
Avshesh Mishra 38 0.7× 31 0.6× 55 1.3× 77 2.0× 26 0.7× 15 228
Samuel Backman 73 1.3× 36 0.7× 70 1.7× 42 1.1× 94 2.6× 11 176
Katsuji Marukawa 47 0.8× 98 1.8× 43 1.0× 60 1.5× 19 0.5× 14 215
Mohammed Bangash 36 0.6× 33 0.6× 49 1.2× 101 2.6× 15 0.4× 16 214
Jörn Meinel 54 0.9× 70 1.3× 23 0.5× 15 0.4× 16 0.4× 11 143

Countries citing papers authored by Alexander Savchenko

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Savchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Savchenko

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