Moon Kim

538 total citations
25 papers, 285 citations indexed

About

Moon Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Biomedical Engineering. According to data from OpenAlex, Moon Kim has authored 25 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Health Informatics and 5 papers in Biomedical Engineering. Recurrent topics in Moon Kim's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Medical Imaging Techniques and Applications (5 papers). Moon Kim is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Medical Imaging Techniques and Applications (5 papers). Moon Kim collaborates with scholars based in Germany, Switzerland and United States. Moon Kim's co-authors include Felix Nensa, Sven Koitka, Seul-Ki Kim, Duck‐Hyun Kim, Christoph M. Friedrich, Man-Seok Han, Makoto Ue, Aydın Demircioğlu, Lale Umutlu and Asja Fischer and has published in prestigious journals such as PLoS ONE, Journal of Power Sources and Scientific Reports.

In The Last Decade

Moon Kim

24 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moon Kim Germany 9 95 87 56 36 33 25 285
Jihye Baek United States 12 50 0.5× 137 1.6× 58 1.0× 24 0.7× 178 5.4× 33 509
Xiaoying Zhao China 10 69 0.7× 75 0.9× 24 0.4× 48 1.3× 52 1.6× 36 293
Zirui Jiang United States 8 11 0.1× 68 0.8× 5 0.1× 40 1.1× 25 0.8× 26 293
Intae Moon United States 9 531 5.6× 16 0.2× 58 1.0× 9 0.3× 12 0.4× 13 600
Tuan Wang China 9 120 1.3× 22 0.3× 62 1.1× 6 0.2× 11 0.3× 18 257
Xianling Zhang China 11 61 0.6× 37 0.4× 21 0.4× 22 0.6× 94 2.8× 27 392
Marwa Abdelaziz Switzerland 11 7 0.1× 82 0.9× 3 0.1× 5 0.1× 84 2.5× 32 493
Yonggao Zhang China 11 128 1.3× 79 0.9× 7 0.1× 48 1.3× 69 2.1× 68 359
Ji Sung Park South Korea 10 95 1.0× 36 0.4× 21 0.4× 15 0.4× 12 0.4× 20 362

Countries citing papers authored by Moon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Moon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Moon Kim. A scholar is included among the top collaborators of Moon Kim 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 Moon Kim. Moon Kim 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.
Kersting, David, Moon Kim, Johannes Haubold, et al.. (2025). Staging of prostate Cancer with ultra-fast PSMA-PET scans enhanced by AI. European Journal of Nuclear Medicine and Molecular Imaging. 52(5). 1658–1670. 2 indexed citations
2.
Dratsch, Thomas, et al.. (2025). The Influence of Artificial Intelligence Autonomy on Physicians Work Outcomes in Healthcare: A Lab-in-the-Field Experiment. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
3.
Neher, Peter, Maximilian Zenk, Moon Kim, et al.. (2024). Real-world federated learning in radiology: hurdles to overcome and benefits to gain. Journal of the American Medical Informatics Association. 32(1). 193–205. 5 indexed citations
4.
Koitka, Sven, Giulia Baldini, Johannes Haubold, et al.. (2024). SAROS: A dataset for whole-body region and organ segmentation in CT imaging. Scientific Data. 11(1). 483–483. 7 indexed citations
5.
Banerjee, Oishi, Agustina Saenz, Warren Clements, et al.. (2024). ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics. PubMed. 30. 185–198. 2 indexed citations
6.
Kim, Moon, Robert Seifert, David Kersting, et al.. (2023). Evaluation of thresholding methods for the quantification of [68Ga]Ga-PSMA-11 PET molecular tumor volume and their effect on survival prediction in patients with advanced prostate cancer undergoing [177Lu]Lu-PSMA-617 radioligand therapy. European Journal of Nuclear Medicine and Molecular Imaging. 50(7). 2196–2209. 12 indexed citations
7.
Dada, Amin, Moon Kim, Michael Forsting, et al.. (2023). Information extraction from weakly structured radiological reports with natural language queries. European Radiology. 34(1). 330–337. 7 indexed citations
8.
Hahn, Paul, Daniel Pinto dos Santos, Thomas Dratsch, et al.. (2023). Closing the loop for AI-ready radiology. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 196(2). 154–162. 1 indexed citations
9.
Kim, Moon, Julius Keyl, Jan Egger, et al.. (2022). Deep Learning–driven classification of external DICOM studies for PACS archiving. European Radiology. 32(12). 8769–8776. 5 indexed citations
10.
Müller, Lukáš, Felix Hähn, Timo Alexander Auer, et al.. (2022). Tumor Burden in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Head-to-Head Comparison of Current Scoring Systems. Frontiers in Oncology. 12. 850454–850454. 11 indexed citations
11.
Hosch, René, Miriam Sraieb, Johannes Haubold, et al.. (2022). Artificial intelligence guided enhancement of digital PET: scans as fast as CT?. European Journal of Nuclear Medicine and Molecular Imaging. 49(13). 4503–4515. 14 indexed citations
12.
Müller, Lukáš, Aline Mähringer‐Kunz, Timo Alexander Auer, et al.. (2022). Low bone mineral density is a prognostic factor for elderly patients with HCC undergoing TACE: results from a multicenter study. European Radiology. 33(2). 1031–1039. 9 indexed citations
13.
Demircioğlu, Aydın, et al.. (2021). Automatic Scan Range Delimitation in Chest CT Using Deep Learning. Radiology Artificial Intelligence. 3(3). e200211–e200211. 16 indexed citations
14.
Demircioğlu, Aydın, et al.. (2021). Detecting the pulmonary trunk in CT scout views using deep learning. Scientific Reports. 11(1). 10215–10215. 3 indexed citations
15.
Koitka, Sven, et al.. (2020). Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks. Medical Image Analysis. 64. 101743–101743. 29 indexed citations
16.
Koitka, Sven, Aydın Demircioğlu, Moon Kim, Christoph M. Friedrich, & Felix Nensa. (2018). Ossification area localization in pediatric hand radiographs using deep neural networks for object detection. PLoS ONE. 13(11). e0207496–e0207496. 21 indexed citations
17.
Kim, Seul-Ki, et al.. (2015). Ceramic separators based on Li+-conducting inorganic electrolyte for high-performance lithium-ion batteries with enhanced safety. Journal of Power Sources. 293. 675–683. 96 indexed citations
18.
Park, Jong Cheol, et al.. (2004). Inhibitory Effects of Methanol Extract, Phenolic Acids and Flavonoids from the Leaves of Eucalyptus darylmpleana against 1,1-Diphenyl-2-picrylhydrazyl Radical. Natural Product Sciences. 10(5). 244–247. 5 indexed citations
19.
Park, Jong Cheol, et al.. (2003). A Triterpenoid Glucoside and Phenolic Compounds from Rosa davurica. Natural Product Sciences. 9(1). 31–33. 6 indexed citations
20.
Hur, Jong-Moon, et al.. (2001). Flavonoids from the Leaves of Glycine max Showing Anti-lipid Peroxidative Effect. Natural Product Sciences. 7(2). 49–52. 2 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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