Lorraine King

121 total papers · 1.4k total citations
36 papers, 771 citations indexed

About

Lorraine King is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lorraine King has authored 36 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lorraine King's work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). Lorraine King is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). Lorraine King collaborates with scholars based in United States, United Kingdom and Ireland. Lorraine King's co-authors include Darryl C. Zeldin, Geraldine Butler, J. Alyce Bradbury, Carlo C. Maley, Jeffrey R. Marks, Jixiang Ma, Joan P. Graves, Douglas A. Bell, Thomas E. Eling and Ellen Fritsche and has published in prestigious journals such as Nature Communications, Cancer Research and Radiology.

In The Last Decade

Lorraine King

34 papers receiving 750 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lorraine King 228 193 169 159 101 36 771
Hongjian Jiang 107 0.5× 210 1.1× 37 0.2× 152 1.0× 71 0.7× 28 889
Louise S. Mackenzie 90 0.4× 180 0.9× 29 0.2× 59 0.4× 108 1.1× 20 663
Jianwei Chen 24 0.1× 294 1.5× 100 0.6× 181 1.1× 29 0.3× 47 824
Minmin Zhang 25 0.1× 183 0.9× 39 0.2× 52 0.3× 46 0.5× 35 692
Edward D. Helton 21 0.1× 191 1.0× 158 0.9× 122 0.8× 16 0.2× 32 787
Pradeep Kumar Dabla 28 0.1× 142 0.7× 36 0.2× 144 0.9× 36 0.4× 53 759
B.P. Srinivasan 31 0.1× 197 1.0× 51 0.3× 216 1.4× 42 0.4× 29 677
Natalia Khuri 78 0.3× 312 1.6× 46 0.3× 20 0.1× 20 0.2× 32 684
Feng Huang 28 0.1× 217 1.1× 109 0.6× 37 0.2× 128 1.3× 56 729
Lei Zhang 45 0.2× 180 0.9× 34 0.2× 17 0.1× 86 0.9× 63 837

Countries citing papers authored by Lorraine King

Since Specialization
Citations

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

Fields of papers citing papers by Lorraine King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorraine King

This figure shows the co-authorship network connecting the top 25 collaborators of Lorraine King. A scholar is included among the top collaborators of Lorraine 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 Lorraine King. Lorraine 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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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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2026