Julius Emons

798 total citations
50 papers, 292 citations indexed

About

Julius Emons is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Julius Emons has authored 50 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Cancer Research. Recurrent topics in Julius Emons's work include Digital Radiography and Breast Imaging (11 papers), AI in cancer detection (9 papers) and Breast Cancer Treatment Studies (7 papers). Julius Emons is often cited by papers focused on Digital Radiography and Breast Imaging (11 papers), AI in cancer detection (9 papers) and Breast Cancer Treatment Studies (7 papers). Julius Emons collaborates with scholars based in Germany, Switzerland and Austria. Julius Emons's co-authors include Peter A. Fasching, Matthias W. Beckmann, Michael Uder, Arndt Hartmann, Evelyn Wenkel, Rüdiger Schulz‐Wendtland, Sebastian M. Jud, Ramona Erber, Felix Heindl and Paul Gaß and has published in prestigious journals such as Scientific Reports, American Journal of Physiology-Heart and Circulatory Physiology and Medical Physics.

In The Last Decade

Julius Emons

42 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julius Emons Germany 10 83 76 47 43 42 50 292
Lee G. Wilke United States 9 83 1.0× 62 0.8× 50 1.1× 163 3.8× 13 0.3× 13 387
Alison Griffiths Australia 5 102 1.2× 30 0.4× 18 0.4× 68 1.6× 23 0.5× 6 312
Simon Sun Canada 9 83 1.0× 37 0.5× 16 0.3× 21 0.5× 15 0.4× 20 335
Jungyo Suh South Korea 10 23 0.3× 116 1.5× 81 1.7× 57 1.3× 30 0.7× 72 374
Piotr Szumowski Poland 11 116 1.4× 90 1.2× 42 0.9× 24 0.6× 26 0.6× 37 346
Marie Louise Malmstrøm Denmark 7 58 0.7× 57 0.8× 22 0.5× 162 3.8× 26 0.6× 12 376
Francys C. Verdial United States 10 42 0.5× 99 1.3× 77 1.6× 73 1.7× 6 0.1× 28 530
Atieh Akbari Iran 12 51 0.6× 41 0.5× 46 1.0× 206 4.8× 45 1.1× 47 408

Countries citing papers authored by Julius Emons

Since Specialization
Citations

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

Fields of papers citing papers by Julius Emons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julius Emons

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

All Works

20 of 20 papers shown
1.
Völkl, Simon, Julius Emons, Matthias Ruebner, et al.. (2025). Effect of delayed isolation of peripheral blood mononuclear cells on cell viability and functionality. BMC Immunology. 26(1). 21–21. 2 indexed citations
2.
Psilopatis, Iason, et al.. (2025). The Role of Artificial Intelligence in Gynecologic Oncology Decision-Making: A Feasibility Study. Gynecologic and Obstetric Investigation. 90(5). 483–491. 1 indexed citations
3.
4.
Huebner, Hanna, Lothar Häberle, Marc Stamminger, et al.. (2024). Comparative assessment of breast volume using a smartphone device versus MRI. Breast Cancer. 32(1). 166–176. 1 indexed citations
5.
Gaß, Paul, Markus Eckstein, Arndt Hartmann, et al.. (2024). Spatial expression of claudin 18.2 in matched primaries and metastases of tubo-ovarian carcinoma of all subtypes. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 485(1). 63–74. 4 indexed citations
6.
Psilopatis, Iason, et al.. (2024). Can Chat-GPT read and understand guidelines? An example using the S2k guideline intrauterine growth restriction of the German Society for Gynecology and Obstetrics. Archives of Gynecology and Obstetrics. 310(5). 2425–2437. 6 indexed citations
7.
8.
Psilopatis, Iason, et al.. (2024). Ureterocele as differential diagnosis of hydrosalpinx—an interesting case from the clinical practice. Journal of Surgical Case Reports. 2024(2). rjad730–rjad730.
9.
Koch, Martin C., Werner Adler, Carol Geppert, et al.. (2023). Cytology and HPV Co-Testing for Detection of Vaginal Intraepithelial Neoplasia: A Retrospective Study. Cancers. 15(18). 4633–4633. 2 indexed citations
10.
Kapsner, Lorenz A., Frederik B. Laun, Armin M. Nagel, et al.. (2023). Image quality assessment using deep learning in high b-value diffusion-weighted breast MRI. Scientific Reports. 13(1). 10549–10549. 7 indexed citations
11.
Wenkel, Evelyn, et al.. (2023). Feasibility of In Vivo Metal Artifact Reduction in Contrast-Enhanced Dedicated Spiral Breast Computed Tomography. Diagnostics. 13(19). 3062–3062. 1 indexed citations
12.
Emons, Julius, Carolin C. Hack, Felix Heindl, et al.. (2023). Evaluation of automated techniques for extraction of circulating cell-free DNA for implementation in standardized high-throughput workflows. Scientific Reports. 13(1). 373–373. 9 indexed citations
13.
Fasching, Peter A., Paul Gaß, Lothar Häberle, et al.. (2023). Predicting mammographic density with linear ultrasound transducers. European journal of medical research. 28(1). 384–384. 1 indexed citations
14.
Wenkel, Evelyn, Arndt Hartmann, Julius Emons, et al.. (2021). Detection of Microcalcifications in Spiral Breast Computed Tomography with Photon-Counting Detector Is Feasible: A Specimen Study. Diagnostics. 11(5). 848–848. 9 indexed citations
15.
Schulz‐Wendtland, Rüdiger, et al.. (2021). Fusion von Mammographie und Ultraschall. Der Radiologe. 61(2). 166–169.
16.
Heindl, Felix, Peter A. Fasching, Alexander Hein, et al.. (2021). Mammographic density and prognosis in primary breast cancer patients. The Breast. 59. 51–57. 11 indexed citations
17.
Lux, Michael P., Julius Emons, Mayada R. Bani, et al.. (2019). Diagnostic Accuracy of Breast Medical Tactile Examiners (MTEs): A Prospective Pilot Study. Breast Care. 14(1). 41–47. 3 indexed citations
18.
Schulz‐Wendtland, Rüdiger, Sebastian M. Jud, Peter Fasching, et al.. (2017). A Standard Mammography Unit – Standard 3D Ultrasound Probe Fusion Prototype: First Results. Geburtshilfe und Frauenheilkunde. 77(6). 679–685. 6 indexed citations
19.
Hack, Carolin C., Julius Emons, Sebastian M. Jud, et al.. (2017). Association between mammographic density and pregnancies relative to age and BMI: a breast cancer case-only analysis. Breast Cancer Research and Treatment. 166(3). 701–708. 10 indexed citations
20.
Unsöld, Bernhard, Hanna Schotola, Claudius Jacobshagen, et al.. (2012). Age-Dependent Changes in Contractile Function and Passive Elastic Properties of Myocardium from Mice Lacking Muscle LIM Protein (MLP). European Journal of Heart Failure. 14(4). 430–437. 9 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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