G.J. Jager

63 total papers · 3.5k total citations
38 papers, 2.6k citations indexed

About

G.J. Jager is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G.J. Jager has authored 38 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in G.J. Jager's work include MRI in cancer diagnosis (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). G.J. Jager is often cited by papers focused on MRI in cancer diagnosis (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). G.J. Jager collaborates with scholars based in Netherlands, Germany and United States. G.J. Jager's co-authors include Jelle O. Barentsz, G.O.N. Oosterhof, Johan L. Severens, Yvonne L. Hoogeveen, Anke M. Hövels, Stephen B. Strum, Roel A. M. Heesakkers, Eddy Adang, E T Ruijter and Th. Wobbes and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Radiology.

In The Last Decade

G.J. Jager

37 papers receiving 2.5k citations

Hit Papers

The diagnostic accuracy o... 2008 2026 2014 2020 2008 200 400 600

Author Peers

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

Author Last Decade Papers Cites
G.J. Jager 1.4k 1.3k 518 368 325 38 2.6k
Konstantin Holzapfel 954 0.7× 1.4k 1.1× 825 1.6× 237 0.6× 303 0.9× 67 2.8k
Gerrit J. Jager 1.5k 1.1× 1.4k 1.1× 795 1.5× 435 1.2× 169 0.5× 40 2.9k
J. Scheidler 927 0.7× 1.2k 1.0× 352 0.7× 174 0.5× 204 0.6× 49 2.7k
G M Glazer 1.5k 1.1× 1.1k 0.9× 1.4k 2.7× 164 0.4× 249 0.8× 64 3.4k
Antonio C. Westphalen 1.9k 1.4× 1.1k 0.9× 691 1.3× 549 1.5× 182 0.6× 118 3.0k
D. Jeffrey Demanes 1.5k 1.1× 464 0.4× 746 1.4× 194 0.5× 260 0.8× 95 2.9k
C.A. Lawton 3.3k 2.3× 902 0.7× 494 1.0× 348 0.9× 470 1.4× 83 4.4k
Silvana C. Faria 1.0k 0.7× 658 0.5× 598 1.2× 179 0.5× 630 1.9× 60 2.4k
Krishna Shanbhogue 792 0.6× 599 0.5× 1.1k 2.1× 392 1.1× 377 1.2× 104 2.9k
Scott L. Sailer 1.6k 1.1× 354 0.3× 636 1.2× 293 0.8× 475 1.5× 61 2.5k

Countries citing papers authored by G.J. Jager

Since Specialization
Citations

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

Fields of papers citing papers by G.J. Jager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.J. Jager. 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 G.J. Jager. The network helps show where G.J. Jager may publish in the future.

Co-authorship network of co-authors of G.J. Jager

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