Ryan J. King

3.3k citations
16 papers · 900 · h-index 13

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Cancer, Hypoxia, and Metabolism 8
    • Cancer, Lipids, and Metabolism 2
    • Muscle Physiology and Disorders 2
    • Mitochondrial Function and Pathology 2
    • Metabolism, Diabetes, and Cancer 2

Ryan J. King

16 papers receiving 894 citations

Peers

Ryan J. King
Comparison fields: 5 of 88
  • Cancer Research 343
  • Oncology 215
  • Molecular Biology 428
  • Immunology 121
  • Physiology 99
Replace Qiang Zou with:
Qiang Zou China
Angela Iervolino Italy
Balachandar Venkatesan United States
Lei Zhan China
Naiara Santana-Codina United States
Longcheng Shang China
Anja J. Stauber United States
Falguni Das United States
Soochi Kim United States
Marie‐Julie Nokin Belgium
Ryan J. King relative to Qiang Zou China Qiang Zou's profile →
Citations per field
00.5×2.8×
Qiang Zou · 1×
Citations per year

Countries citing papers authored by Ryan J. King

Since Specialization
Citations

This map shows the geographic impact of Ryan 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 Ryan 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 Ryan J. King more than expected).

Fields of papers citing papers by Ryan J. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryan J. 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 Ryan J. King Line = papers co-authored together Ryan J. King links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2017169
2 2021133
3 2020116
4 201777
5 201776
6 201569
7 202055
8 201443
9 202338
10 202037
11 201734
12 202029
13 202115
14 20184
15 20184
16 20171

About Ryan J. King

Ryan J. King is a scholar working on Cancer Research, Molecular Biology, Physiology, Oncology and Surgery, having authored 16 papers that have together received 900 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Pancreatic and Hepatic Oncology Research (2 papers), Muscle Physiology and Disorders (2 papers), Mitochondrial Function and Pathology (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer, Lipids, and Metabolism (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Nutrition and Health in Aging (2 papers). The work is most often cited by research in Cancer Research (343 citations), Oncology (215 citations), Molecular Biology (428 citations), Immunology (121 citations) and Physiology (99 citations). Ryan J. King has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Pankaj K. Singh, Fang Yu, Kamiya Mehla, Surendra K. Shukla, Enza Vernucci, Venugopal Gunda, Jaime Abrego, Aneesha Dasgupta, Nina V. Chaika and Gennifer D. Goode. Their work appears in journals such as Cancer Letters, Oncotarget, Cancer Research, Clinical Cancer Research and Trends in Immunology.

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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