S. Janssen

502 total citations
25 papers, 154 citations indexed

About

S. Janssen is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, S. Janssen has authored 25 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in S. Janssen's work include Cardiac Imaging and Diagnostics (5 papers), Coronary Interventions and Diagnostics (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). S. Janssen is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Coronary Interventions and Diagnostics (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). S. Janssen collaborates with scholars based in Germany, United States and Austria. S. Janssen's co-authors include G. Grupp, G. Baumgartner, Johannes M. Froehlich, Dow‐Mu Koh, Simon Matoori, Andreas Gutzeit, Bharti Khurana, Orpheus Kolokythas, G. Baumgartner and Daniel Overhoff and has published in prestigious journals such as PLoS ONE, Pflügers Archiv - European Journal of Physiology and European Radiology.

In The Last Decade

S. Janssen

19 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Janssen Germany 7 48 33 21 20 18 25 154
Qingyong Zheng China 8 29 0.6× 19 0.6× 10 0.5× 11 0.6× 25 1.4× 34 190
Sheila Sprague Canada 3 45 0.9× 10 0.3× 85 4.0× 4 0.2× 23 1.3× 3 169
Nataliya Makarova Germany 7 10 0.2× 16 0.5× 13 0.6× 63 3.1× 13 0.7× 22 146
Roger A. Mitchell United States 8 39 0.8× 12 0.4× 15 0.7× 6 0.3× 19 1.1× 15 167
Cara Lai United States 7 17 0.4× 17 0.5× 74 3.5× 3 0.1× 8 0.4× 23 287
Amanda Martin United States 7 18 0.4× 10 0.3× 23 1.1× 41 2.0× 5 0.3× 11 161
Rosana Leite de Melo Brazil 5 42 0.9× 9 0.3× 83 4.0× 9 0.5× 8 0.4× 12 245
Jean Wilguens Lartigue United States 7 8 0.2× 8 0.2× 34 1.6× 5 0.3× 17 0.9× 10 200
Terrell Caffery United States 7 5 0.1× 11 0.3× 21 1.0× 6 0.3× 4 0.2× 20 162
Nolan N. Pokpongkiat United States 3 31 0.6× 17 0.5× 5 0.2× 2 0.1× 7 0.4× 4 264

Countries citing papers authored by S. Janssen

Since Specialization
Citations

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

Fields of papers citing papers by S. Janssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Janssen

This figure shows the co-authorship network connecting the top 25 collaborators of S. Janssen. A scholar is included among the top collaborators of S. Janssen 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 S. Janssen. S. Janssen 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.
Albuquerque, Wendell, et al.. (2026). Diamondoid ketones as structural probes for active sites of fungal enzymes. Molecular Catalysis. 592. 115741–115741.
2.
Janssen, S., Daniel Overhoff, Bram Geurts, et al.. (2023). Influence of device-assisted suction against resistance (Mueller maneuver) on image quality in CTPA for suspected lung embolism. European Radiology. 33(11). 7840–7848.
3.
Ansari, Uzair, S. Janssen, Stefan Baumann, et al.. (2022). Sparse 3D contrast-enhanced whole-heart imaging for coronary artery evaluation. Herz. 48(1). 55–63.
4.
Janssen, S., et al.. (2021). Anthropometry of the proximal femur and femoral head in children/adolescents using three-dimensional computed tomography-based measurements. Surgical and Radiologic Anatomy. 43(12). 2009–2023. 1 indexed citations
5.
Janssen, S., Daniel Overhoff, Matthias F. Froelich, Stefan O. Schoenberg, & Nils Rathmann. (2021). Detectability of Lung Nodules in Ultra-low Dose CT. Anticancer Research. 41(10). 5053–5058. 1 indexed citations
6.
Janssen, S., Nikolaos Vassos, Peter Hohenberger, et al.. (2020). Fusion imaging to evaluate the radiographic anatomical relationship between primary tumors and local recurrences in retroperitoneal soft tissue sarcoma. Surgical Oncology. 34. 109–112. 2 indexed citations
7.
Overhoff, Daniel, Thomas Walter, Joachim Gruettner, et al.. (2020). Acute pulmonary embolism mimicking COVID – 19 pneumonia. International Journal of Infectious Diseases. 96. 475–476. 1 indexed citations
8.
Janssen, S., et al.. (2020). Deterministic Arterial Input Function selection in DCE-MRI for automation of quantitative perfusion calculation of colorectal cancer. Magnetic Resonance Imaging. 75. 116–123. 1 indexed citations
9.
Kirschning, Thomas, Christel Weiß, Michael Hagmann, et al.. (2020). A quantitative CT parameter for the assessment of pulmonary oedema in patients with acute respiratory distress syndrome. PLoS ONE. 15(11). e0241590–e0241590. 4 indexed citations
10.
Madea, B, Stephanie Panzer, Thomas Henzler, et al.. (2020). Blunt force trauma: an exceptional example of an ancient Egyptian mummy head. Anthropologischer Anzeiger. 77(1). 75–82.
11.
Matoori, Simon, Bharti Khurana, Johannes M. Froehlich, et al.. (2020). Addressing intimate partner violence during the COVID-19 pandemic and beyond: how radiologists can make a difference. European Radiology. 31(4). 2126–2131. 14 indexed citations
12.
Rübenthaler, Johannes, Dominik Nörenberg, Thomas S. Huber, et al.. (2020). Cost-effectiveness of stress CTP versus CTA in detecting obstructive CAD or in-stent restenosis in stented patients. European Radiology. 31(3). 1443–1450. 5 indexed citations
13.
Matoori, Simon, Bharti Khurana, Dow‐Mu Koh, et al.. (2020). Intimate partner violence crisis in the COVID-19 pandemic: how can radiologists make a difference?. European Radiology. 30(12). 6933–6936. 43 indexed citations
14.
Loßnitzer, Dirk, Tobias Becher, Daniel Overhoff, et al.. (2020). Additional Value of Machine-Learning Computed Tomographic Angiography-Based Fractional Flow Reserve Compared to Standard Computed Tomographic Angiography. Journal of Clinical Medicine. 9(3). 676–676. 11 indexed citations
15.
Griswold, Wendy, S. Janssen, & C.J. van Rees. (1999). Editorial : Conditions of cultural production and reception. Introduction special issue. Research portal (Tilburg University). 26. 285–288. 1 indexed citations
16.
Grupp, G. & S. Janssen. (1958). Untersuchungen �ber die W�rmebildung der Niere. Pflügers Archiv - European Journal of Physiology. 267(1). 58–72. 4 indexed citations
17.
Janssen, S. & G. Grupp. (1957). Untersuchungen über die Temperaturverteilung in der Niere des Hundes. PubMed. 230(3). 245–256. 7 indexed citations
18.
Janssen, S., Jürgen Aschoff, G. Baumgartner, et al.. (1957). Vergleich und Kritik verschiedener Durchblutungs-Me�methoden. Pflügers Archiv - European Journal of Physiology. 264(2). 198–216. 14 indexed citations
19.
Baumgartner, G., G. Grupp, & S. Janssen. (1955). Untersuchungen zu einem automatisch registrierenden Bubble-Flow-Meter. Pflügers Archiv - European Journal of Physiology. 261(6). 575–582. 24 indexed citations
20.
Baumgartner, G., G. Grupp, & S. Janssen. (1954). [Self-recording bubble-flowmeter].. PubMed. 222(1-2). 251–2. 4 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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