William King

1.8k citations
12 papers · 1.4k indexed · 1 hit paper · h-index 7

Impact in

Papers in

William King

12 papers receiving 1.3k citations

Hit Papers

Monoclonal antibodies localize oestrogen receptor in the nuclei of target cells 1984 · 1.1k citations
1.1k19842026199820122505007501000

Peers

William King
Comparison fields: 5 of 111
  • Genetics 746
  • Behavioral Neuroscience 72
  • Periodontics 79
  • Reproductive Medicine 133
  • Endocrinology, Diabetes and Metabolism 250
Replace Angyi Lin with:
Angyi Lin United States
Ebru Karpuzoglu United States
Alison K. Death Australia
Kazuhiko Hoshi Japan
Balakrishna L. Lokeshwar United States
Sandra Regiani United States
P. C. MacDonald United States
Thomas Vrekoussis Greece
Bengt G. Johansson Sweden
James Denvir United States
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Citations per field
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Citations per year

Countries citing papers authored by William King

Since Specialization
Citations

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

Fields of papers citing papers by William King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20242
2 20241
3 200551
4 199844
5 199645
6 198916
7
Monoclonal antibodies localize oestrogen receptor in the nuclei of target cells
Hit paper breakdown →
19841135
8 19844
9 198330
10 19805
11 19705
12 196931

About William King

William King is a scholar working on Periodontics, General Dentistry, Urology, Orthodontics and Oral Surgery, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (5 papers), Dental Research and COVID-19 (2 papers), Urinary Tract Infections Management (2 papers), Urinary Bladder and Prostate Research (2 papers), Economic and Environmental Valuation (1 paper), Chemical Synthesis and Analysis (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Genetics (746 citations), Behavioral Neuroscience (72 citations), Periodontics (79 citations), Reproductive Medicine (133 citations) and Endocrinology, Diabetes and Metabolism (250 citations). William King has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Geoffrey L. Greene, Michael C. Sheppard, Margaret C. Eggo, E. G. Black, A R Volpe, Richard E. Stallard, Clair E. Cox, Ira Klimberg, Cynthia L. Fowler and I B Pless. Their work appears in journals such as Journal of Periodontology, Urology, Journal of Pharmaceutical Sciences, BMJ Open and Journal of Public Health Dentistry.

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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