Lorraine King

1.4k citations
36 papers · 793 · h-index 15

Impact in

    • Eicosanoids and Hypertension Pharmacology
    • Pharmacogenetics and Drug Metabolism
    • Inflammatory mediators and NSAID effects

Papers in

Lorraine King

35 papers receiving 773 citations

Peers

Lorraine King
Comparison fields: 5 of 107
  • Biochemistry 213
  • Pharmacology 138
  • Endocrinology, Diabetes and Metabolism 124
  • Biological Psychiatry 16
  • Health Informatics 7
Replace Amir Rahemtulla with:
Amir Rahemtulla United States
Feng Yu China
Surabhi Chandra United States
Henri O.F. Molhuizen Netherlands
Linda Kortz Germany
Wei Gong China
Hui Xiong China
Louise S. Mackenzie United Kingdom
Beibei Liu China
Guanwei Fan China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Lorraine King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lorraine King Line = papers co-authored together Lorraine King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002121
2 200597
3 200189
4 199866
5 201866
6 199536
7 200430
8 198129
9 202226
10 202121
11 202020
12 200820
13 200219
14 201717
15 200916
16 200814
17 201914
18 200213
19 202012
20 202210

About Lorraine King

Lorraine King is a scholar working on Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biochemistry and Pharmacology, having authored 36 papers that have together received 793 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Hormonal Regulation and Hypertension (4 papers), Fungal and yeast genetics research (3 papers), Single-cell and spatial transcriptomics (3 papers) and Cervical Cancer and HPV Research (3 papers). The work is most often cited by research in Biochemistry (213 citations), Pharmacology (138 citations), Endocrinology, Diabetes and Metabolism (124 citations), Biological Psychiatry (16 citations) and Health Informatics (7 citations). Lorraine King has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Darryl C. Zeldin, Geraldine Butler, Jeffrey R. Marks, Carlo C. Maley, J. Alyce Bradbury, Jixiang Ma, Joan P. Graves, Douglas A. Bell, Seung Joon Baek and Thomas E. Eling. Their work appears in journals such as Molecular Pharmacology, Journal of the American Society of Brewing Chemists, npj Breast Cancer, Pharmacogenetics and Genomics and Nature Communications.

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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