Michael J. King

739 total citations
23 papers, 541 citations indexed

About

Michael J. King is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Michael J. King has authored 23 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hepatology, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Surgery. Recurrent topics in Michael J. King's work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). Michael J. King is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). Michael J. King collaborates with scholars based in United States, Switzerland and Chile. Michael J. King's co-authors include Bachir Taouli, Sara Lewis, Alfred J. Kaltman, Arthur C. Fox, Leonard M. Zir, Swan N. Thung, Cecilia Besa, Stefanie J. Hectors, Juan Putra and Myron Schwartz and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Michael J. King

21 papers receiving 526 citations

Peers

Michael J. King

RNMI

HEPAT

SURGE

EPIDE

PRM

Zhenyin Liu China

Yukio Sugai Japan

Serge Désarnaud France

Kuni Otomo Japan

Antonios Tzortzakakis Sweden

Kun Lv China

Jing Ren China

Kazuhiro Yoshizumi Japan

Giovanni Alessio Italy

Zhenyin Liu China

Michael J. King

164 ×0.7

RNMI

82 ×0.4

HEPAT

125 ×0.9

SURGE

75 ×0.8

EPIDE

151 ×1.8

PRM

Citations per year, relative to Michael J. King Michael J. King (= 1×) peers Zhenyin Liu

Countries citing papers authored by Michael J. King

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. King. 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 Michael J. King. The network helps show where Michael J. King may publish in the future.

Co-authorship network of co-authors of Michael J. King

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. King. A scholar is included among the top collaborators of Michael J. King 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 Michael J. King. Michael J. King 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

Kamath, Amita, Michael J. King, Kamran Ali, et al.. (2025). Endorsing consensus interpretation for diagnosing placenta accreta spectrum disorders on MRI. European Radiology. 36(1). 278–287.

Kierans, Andrea S., Guilherme Moura Cunha, Michael J. King, et al.. (2024). Standardized reporting of intrahepatic cholangiocarcinoma. Abdominal Radiology. 50(4). 1584–1594.

Lewis, Sara, Michael J. King, Kamran Ali, et al.. (2024). Reproducibility of MRI Features for the Diagnosis of Placenta Accreta Spectrum Disorders. Radiology. 312(3). e240386–e240386. 2 indexed citations

Stocker, Daniel, Michael J. King, Maria El Homsi, et al.. (2023). Early post-treatment MRI predicts long-term hepatocellular carcinoma response to radiation segmentectomy. European Radiology. 34(1). 475–484. 6 indexed citations

King, Michael J., Karen M. Lee, Hsin-Hui Huang, et al.. (2022). HCC screening with ultrasound: assessment of quality using ultrasound LI-RADS score. Abdominal Radiology. 48(1). 263–270. 7 indexed citations

King, Michael J., et al.. (2022). Cross-Sectional Imaging Findings of Atypical Liver Malignancies and Diagnostic Pitfalls. Radiologic Clinics of North America. 60(5). 775–794. 1 indexed citations

Kolber, M., Michael J. King, V. Bishay, et al.. (2022). Intrahepatic flow diversion prior to segmental Yttrium-90 radioembolization for challenging tumor vasculature. SHILAP Revista de lepidopterología. 5(2). 79–83. 3 indexed citations

Stocker, Daniel, Michael J. King, Maria El Homsi, et al.. (2020). Luminal Narrowing Alone Allows an Accurate Diagnosis of Crohn’s Disease Small Bowel Strictures at Cross-Sectional Imaging. Journal of Crohn s and Colitis. 15(6). 1009–1018. 12 indexed citations

King, Michael J., Angela Tong, Bari Dane, et al.. (2020). Response assessment of hepatocellular carcinoma treated with yttrium-90 radioembolization: inter-reader variability, comparison with 3D quantitative approach, and role in the prediction of clinical outcomes. European Journal of Radiology. 133. 109351–109351. 15 indexed citations

10.

King, Michael J., Stefanie J. Hectors, Karen M. Lee, et al.. (2020). Outcomes assessment in intrahepatic cholangiocarcinoma using qualitative and quantitative imaging features. Cancer Imaging. 20(1). 43–43. 23 indexed citations

11.

King, Michael J., Sara Lewis, Maria El Homsi, et al.. (2020). Lung base CT findings in COVID-19 adult patients presenting with acute abdominal complaints: case series from a major New York City health system. European Radiology. 30(12). 6685–6693. 6 indexed citations

12.

Homsi, Maria El, Michael Chung, Adam Bernheim, et al.. (2020). Review of chest CT manifestations of COVID-19 infection. European Journal of Radiology Open. 7. 100239–100239. 38 indexed citations

13.

Lewis, Sara, Stefanie J. Hectors, Michael J. King, et al.. (2019). Volumetric quantitative histogram analysis using diffusion-weighted magnetic resonance imaging to differentiate HCC from other primary liver cancers. Abdominal Radiology. 44(3). 912–922. 39 indexed citations

14.

King, Michael J., et al.. (2018). Anatomy and pathology of the canal of Nuck. Clinical Imaging. 51. 83–92. 39 indexed citations

15.

Gordic, Sonja, Idoia Corcuera‐Solano, Ashley Stueck, et al.. (2017). Evaluation of HCC response to locoregional therapy: Validation of MRI-based response criteria versus explant pathology. Journal of Hepatology. 67(6). 1213–1221. 54 indexed citations

16.

Lo, Grace C., Cecilia Besa, Michael J. King, et al.. (2017). Feasibility and reproducibility of liver surface nodularity quantification for the assessment of liver cirrhosis using CT and MRI. European Journal of Radiology Open. 4. 95–100. 29 indexed citations

17.

Zheng, Jolene, Frank L. Greenway, Steven B. Heymsfield, et al.. (2014). Effects of three intense sweeteners on fat storage in the C. elegans model. Chemico-Biological Interactions. 215. 1–6. 11 indexed citations

18.

Navaroli, Deanna M., Željko Uzelac, Michael J. King, et al.. (2011). The Plasma Membrane-Associated GTPase Rin Interacts with the Dopamine Transporter and Is Required for Protein Kinase C-Regulated Dopamine Transporter Trafficking. Journal of Neuroscience. 31(39). 13758–13770. 63 indexed citations

19.

King, Michael J., et al.. (2004). Lymphedema: skin and wound care in an aging population.. PubMed. 50(11A Suppl). 10–2. 4 indexed citations

20.

King, Michael J., Leonard M. Zir, Alfred J. Kaltman, & Arthur C. Fox. (1973). Variant angina associated with angiographically demonstrated coronary artery spasm and REM sleep. The American Journal of the Medical Sciences. 265(5). 419–422. 76 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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