Milan E. J. Pijl

28 total papers · 1.1k total citations
23 papers, 838 citations indexed

About

Milan E. J. Pijl is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Hepatology. According to data from OpenAlex, Milan E. J. Pijl has authored 23 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Surgery and 9 papers in Hepatology. Recurrent topics in Milan E. J. Pijl's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Milan E. J. Pijl is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Milan E. J. Pijl collaborates with scholars based in Netherlands, United States and Sweden. Milan E. J. Pijl's co-authors include Maarten S. van Leeuwen, Shandra Bipat, Aeilko H. Zwinderman, Emile F.I. Comans, Jaap Stoker, Patrick M. Bossuyt, Peter J.K. Kuppen, Cornelis J.�H. van de Velde, Rob A.�E.�M. Tollenaar and Alexander L. Vahrmeijer and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Radiology and British Journal of Cancer.

In The Last Decade

Milan E. J. Pijl

23 papers receiving 813 citations

Author Peers

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

Author Last Decade Papers Cites
Milan E. J. Pijl 376 320 302 233 121 23 838
Ching-Yee Oliver Wong 708 1.9× 320 1.0× 193 0.6× 324 1.4× 395 3.3× 16 1.0k
A. M. M. Eggermont 168 0.4× 64 0.2× 548 1.8× 187 0.8× 212 1.8× 25 917
M Zeile 159 0.4× 366 1.1× 109 0.4× 199 0.9× 321 2.7× 27 804
Sandra J. Casak 113 0.3× 84 0.3× 451 1.5× 190 0.8× 216 1.8× 32 996
Su Jung Shim 228 0.6× 76 0.2× 294 1.0× 303 1.3× 156 1.3× 34 819
Munemasa Ryu 520 1.4× 221 0.7× 230 0.8× 304 1.3× 261 2.2× 41 936
Lucia Di Brina 118 0.3× 284 0.9× 196 0.6× 135 0.6× 479 4.0× 45 807
R. Kenneth Loeffler 45 0.1× 168 0.5× 300 1.0× 206 0.9× 324 2.7× 17 903
V. P. Chuang 392 1.0× 83 0.3× 227 0.8× 306 1.3× 361 3.0× 28 851
Robert A.E.M. Tollenaar 152 0.4× 36 0.1× 537 1.8× 240 1.0× 128 1.1× 23 876

Countries citing papers authored by Milan E. J. Pijl

Since Specialization
Citations

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

Fields of papers citing papers by Milan E. J. Pijl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milan E. J. Pijl. 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 Milan E. J. Pijl. The network helps show where Milan E. J. Pijl may publish in the future.

Co-authorship network of co-authors of Milan E. J. Pijl

This figure shows the co-authorship network connecting the top 25 collaborators of Milan E. J. Pijl. A scholar is included among the top collaborators of Milan E. J. Pijl 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 Milan E. J. Pijl. Milan E. J. Pijl 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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