Arthur Jochems

8.9k total citations · 1 hit paper
42 papers, 5.5k citations indexed

About

Arthur Jochems is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Arthur Jochems has authored 42 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Oncology. Recurrent topics in Arthur Jochems's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). Arthur Jochems is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). Arthur Jochems collaborates with scholars based in Netherlands, Germany and United States. Arthur Jochems's co-authors include Philippe Lambin, Henry C. Woodruff, Sebastian Sanduleanu, Ralph T. H. Leijenaar, Evelyn E.C. de Jong, Janita E. van Timmeren, André Dekker, Timo M. Deist, Johan van Soest and Seán Walsh and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and European Journal of Neuroscience.

In The Last Decade

Arthur Jochems

41 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Radiomics: the bridge between medical imaging and personalized medicine

2017 3.7k citations Philippe Lambin, Ralph T. H. Leijenaar et al. Nature Reviews Clinical Oncology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Arthur Jochems Netherlands	24	4.4k	1.8k	1.2k	1.1k	877	42	5.5k
Johan van Soest Netherlands	22	4.2k 1.0×	1.7k 0.9×	1.1k 1.0×	998 0.9×	944 1.1×	79	5.3k
Sebastian Sanduleanu Netherlands	18	4.1k 0.9×	1.6k 0.9×	1.1k 1.0×	899 0.8×	617 0.7×	29	4.9k
Seán Walsh United States	24	3.9k 0.9×	1.6k 0.9×	1.0k 0.9×	824 0.8×	771 0.9×	56	5.5k
Janita E. van Timmeren Netherlands	22	5.5k 1.3×	2.2k 1.3×	1.6k 1.4×	1.1k 1.1×	887 1.0×	49	6.3k
Ruben T. H. M. Larue Netherlands	12	4.0k 0.9×	1.6k 0.9×	1.1k 1.0×	920 0.9×	594 0.7×	14	4.6k
Evelyn E.C. de Jong Netherlands	12	4.0k 0.9×	1.6k 0.9×	1.1k 0.9×	870 0.8×	600 0.7×	16	4.5k
Catharina M.L. Zegers Netherlands	22	4.5k 1.0×	1.8k 1.0×	1.2k 1.0×	956 0.9×	644 0.7×	56	5.5k
Erik Roelofs Netherlands	16	3.9k 0.9×	1.8k 1.0×	965 0.8×	836 0.8×	582 0.7×	43	4.7k
Ruud G.P.M. van Stiphout Netherlands	17	4.4k 1.0×	1.9k 1.1×	1.1k 1.0×	1.4k 1.3×	700 0.8×	22	5.6k
Michelle M. Rietbergen Netherlands	9	4.2k 1.0×	1.8k 1.0×	1.1k 1.0×	919 0.9×	788 0.9×	10	5.0k

Countries citing papers authored by Arthur Jochems

Since Specialization

Citations

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

Fields of papers citing papers by Arthur Jochems

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur Jochems

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

All Works

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20 of 20 papers shown

Halilaj, Iva, Avishek Chatterjee, Cary Oberije, et al.. (2024). Improving shared decision making for lung cancer treatment by developing and validating an open-source web based patient decision aid for stage I–II non-small cell lung cancer. Frontiers in Digital Health. 5. 1303261–1303261. 1 indexed citations

Wijk, Yvonka van, Bram Ramaekers, Ben Vanneste, et al.. (2021). Modeling-Based Decision Support System for Radical Prostatectomy Versus External Beam Radiotherapy for Prostate Cancer Incorporating an In Silico Clinical Trial and a Cost–Utility Study. Cancers. 13(11). 2687–2687. 2 indexed citations

Wu, Guangyao, Arthur Jochems, Turkey Refaee, et al.. (2021). Structural and functional radiomics for lung cancer. European Journal of Nuclear Medicine and Molecular Imaging. 48(12). 3961–3974. 80 indexed citations

Wu, Guangyao, Henry C. Woodruff, Sebastian Sanduleanu, et al.. (2020). Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study. European Radiology. 30(5). 2680–2691. 28 indexed citations

Timmeren, Janita E. van, Sara Carvalho, Ralph T. H. Leijenaar, et al.. (2019). Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics. PLoS ONE. 14(6). e0217536–e0217536. 35 indexed citations

Jong, Evelyn E.C. de, Karin J.C. Sanders, Timo M. Deist, et al.. (2019). Can radiomics help to predict skeletal muscle response to chemotherapy in stage IV non-small cell lung cancer?. European Journal of Cancer. 120. 107–113. 23 indexed citations

Larue, Ruben T. H. M., Remy Klaassen, Arthur Jochems, et al.. (2018). Pre-treatment CT radiomics to predict 3-year overall survival following chemoradiotherapy of esophageal cancer. Acta Oncologica. 57(11). 1475–1481. 61 indexed citations

Rizzo, Stefania, Sara Raimondi, Evelyn E.C. de Jong, et al.. (2018). Genomics of non-small cell lung cancer (NSCLC): Association between CT-based imaging features and EGFR and K-RAS mutations in 122 patients—An external validation. European Journal of Radiology. 110. 148–155. 25 indexed citations

Jong, Evelyn E.C. de, Wouter van Elmpt, Stefania Rizzo, et al.. (2018). Applicability of a prognostic CT-based radiomic signature model trained on stage I-III non-small cell lung cancer in stage IV non-small cell lung cancer. Lung Cancer. 124. 6–11. 41 indexed citations

10.

Morin, Olivier, Martin Vallières, Arthur Jochems, et al.. (2018). A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change. International Journal of Radiation Oncology*Biology*Physics. 102(4). 1074–1082. 79 indexed citations

11.

Ruysscher, Dirk De, Alida A. Postma, Linda Ackermans, et al.. (2018). Stereotactic Radiosurgery in the Management of Patients With Brain Metastases of Non-Small Cell Lung Cancer: Indications, Decision Tools and Future Directions. Frontiers in Oncology. 8. 154–154. 40 indexed citations

12.

Tangen, Ingvild L., Kristine E. Fasmer, Arthur Jochems, et al.. (2018). Blood steroids are associated with prognosis and fat distribution in endometrial cancer. Gynecologic Oncology. 152(1). 46–52. 14 indexed citations

13.

Deist, Timo M., Arthur Jochems, Johan van Soest, et al.. (2017). Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT. Clinical and Translational Radiation Oncology. 4. 24–31. 87 indexed citations

14.

Zindler, Jaap, Arthur Jochems, Frank J. Lagerwaard, et al.. (2017). Individualized early death and long-term survival prediction after stereotactic radiosurgery for brain metastases of non-small cell lung cancer: Two externally validated nomograms. Radiotherapy and Oncology. 123(2). 189–194. 28 indexed citations

15.

Jochems, Arthur, Timo M. Deist, Issam El Naqa, et al.. (2017). Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries. International Journal of Radiation Oncology*Biology*Physics. 99(2). 344–352. 90 indexed citations

16.

Lambin, Philippe, Ralph T. H. Leijenaar, Timo M. Deist, et al.. (2017). Radiomics: the bridge between medical imaging and personalized medicine. Nature Reviews Clinical Oncology. 14(12). 749–762. 3729 indexed citations breakdown →

17.

Lustberg, Tim, Johan van Soest, Arthur Jochems, et al.. (2016). Big Data in radiation therapy: challenges and opportunities. British Journal of Radiology. 90(1069). 20160689–20160689. 23 indexed citations

18.

Jochems, Arthur & Motoharu Yoshida. (2015). A Robust In Vivo-Like Persistent Firing Supported by a Hybrid of Intracellular and Synaptic Mechanisms. PLoS ONE. 10(4). e0123799–e0123799. 6 indexed citations

19.

Jochems, Arthur, Antonio Reboreda, Michael E. Hasselmo, & Motoharu Yoshida. (2013). Cholinergic receptor activation supports persistent firing in layer III neurons in the medial entorhinal cortex. Behavioural Brain Research. 254. 108–115. 20 indexed citations

20.

Yoshida, Motoharu, et al.. (2012). Cholinergic modulation of the CAN current may adjust neural dynamics for active memory maintenance, spatial navigation and time-compressed replay. Frontiers in Neural Circuits. 6. 10–10. 24 indexed citations

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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