Hsi-Yu Yen

913 total citations
12 papers, 196 citations indexed

About

Hsi-Yu Yen is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Hsi-Yu Yen has authored 12 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Hsi-Yu Yen's work include Pancreatic and Hepatic Oncology Research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Hsi-Yu Yen is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Hsi-Yu Yen collaborates with scholars based in Germany, United Kingdom and Switzerland. Hsi-Yu Yen's co-authors include Katja Steiger, Wilko Weichert, Sebastian Ziegelmayer, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Roland M. Schmid, Jens T. Siveke, Alexander Muckenhuber and Ernst J. Rummeny and has published in prestigious journals such as PLoS ONE, European Journal of Nuclear Medicine and Molecular Imaging and Cancers.

In The Last Decade

Hsi-Yu Yen

10 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsi-Yu Yen Germany 9 100 86 54 41 27 12 196
Simone Pietro De Angelis Italy 8 68 0.7× 73 0.8× 60 1.1× 44 1.1× 17 0.6× 10 256
Jarey H. Wang United States 8 43 0.4× 77 0.9× 52 1.0× 40 1.0× 8 0.3× 13 184
Lin Shui China 8 138 1.4× 75 0.9× 135 2.5× 72 1.8× 23 0.9× 15 307
Tsan-Yu Hsieh Taiwan 11 104 1.0× 27 0.3× 74 1.4× 86 2.1× 24 0.9× 19 280
Vasileia Damaskou Greece 10 106 1.1× 21 0.2× 59 1.1× 20 0.5× 25 0.9× 28 276
Marit Valla Norway 10 103 1.0× 28 0.3× 106 2.0× 56 1.4× 23 0.9× 23 307
Renduo Shang China 6 70 0.7× 24 0.3× 83 1.5× 79 1.9× 14 0.5× 9 209
Yuki Sekido Japan 10 108 1.1× 32 0.4× 47 0.9× 31 0.8× 15 0.6× 46 269
Lujia Song China 7 85 0.8× 64 0.7× 71 1.3× 107 2.6× 23 0.9× 13 238
Anna Couvillon United States 7 111 1.1× 50 0.6× 38 0.7× 141 3.4× 6 0.2× 29 206

Countries citing papers authored by Hsi-Yu Yen

Since Specialization
Citations

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

Fields of papers citing papers by Hsi-Yu Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsi-Yu Yen. 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 Hsi-Yu Yen. The network helps show where Hsi-Yu Yen may publish in the future.

Co-authorship network of co-authors of Hsi-Yu Yen

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

All Works

12 of 12 papers shown
2.
Heid, Irina, Marija Trajkovic‐Arsic, Fabian Lohöfer, et al.. (2022). Functional biomarkers derived from computed tomography and magnetic resonance imaging differentiate PDAC subgroups and reveal gemcitabine-induced hypo-vascularization. European Journal of Nuclear Medicine and Molecular Imaging. 50(1). 115–129.
3.
Wiedemann, Tobias, Amelie Lupp, Katja Steiger, et al.. (2021). Gender-Specific Efficacy Revealed by Head-to-Head Comparison of Pasireotide and Octreotide in a Representative In Vivo Model of Nonfunctioning Pituitary Tumors. Cancers. 13(12). 3097–3097. 9 indexed citations
4.
Schmohl, Kathrin A., Nathalie Schwenk, Hsi-Yu Yen, et al.. (2021). Selective sodium iodide symporter (NIS) gene therapy of glioblastoma mediated by EGFR-targeted lipopolyplexes. Molecular Therapy — Oncolytics. 23. 432–446. 15 indexed citations
5.
Jungmann, Friederike, Georgios Kaissis, Sebastian Ziegelmayer, et al.. (2021). Prediction of Tumor Cellularity in Resectable PDAC from Preoperative Computed Tomography Imaging. Cancers. 13(9). 2069–2069. 8 indexed citations
6.
Richter, Antonia, Karina Knorr, Martin Schlapschy, et al.. (2020). First In-Human Medical Imaging with a PASylated 89Zr-Labeled Anti-HER2 Fab-Fragment in a Patient with Metastatic Breast Cancer. Nuclear Medicine and Molecular Imaging. 54(2). 114–119. 30 indexed citations
7.
Yen, Hsi-Yu, Lena Kaiser, Erik Mille, et al.. (2020). Toxicity of a combined therapy using the mTOR-inhibitor everolimus and PRRT with [177Lu]Lu-DOTA-TATE in Lewis rats. EJNMMI Research. 10(1). 41–41. 8 indexed citations
8.
Richter, Günther, Hsi-Yu Yen, Katja Steiger, et al.. (2020). Combined Inhibition of Epigenetic Readers and Transcription Initiation Targets the EWS-ETS Transcriptional Program in Ewing Sarcoma. Cancers. 12(2). 304–304. 18 indexed citations
9.
Saravanan, Chandra, Thierry Flandre, Carolyn L. Hodo, et al.. (2020). Research Relevant Conditions and Pathology in Nonhuman Primates. ILAR Journal. 61(2-3). 139–166. 13 indexed citations
10.
Kaissis, Georgios, Sebastian Ziegelmayer, Fabian Lohöfer, et al.. (2020). Image-Based Molecular Phenotyping of Pancreatic Ductal Adenocarcinoma. Journal of Clinical Medicine. 9(3). 724–724. 36 indexed citations
11.
Kaissis, Georgios, Sebastian Ziegelmayer, Fabian Lohöfer, et al.. (2019). A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy. PLoS ONE. 14(10). e0218642–e0218642. 53 indexed citations
12.
Steiger, Katja, Simone Ballke, Hsi-Yu Yen, et al.. (2018). Histopathologische Forschungslabors in der translationalen Forschung. Der Pathologe. 40(2). 172–178. 6 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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