P King

10 papers receiving 385 citations

Peers

P King
Comparison fields: 5 of 45
  • Endocrine and Autonomic Systems 40
  • Physiology 92
  • Endocrinology, Diabetes and Metabolism 54
  • Molecular Biology 182
  • Behavioral Neuroscience 7
Replace Vladimir A. Lesnikov with:
Vladimir A. Lesnikov United States
Nicholas K. Smith United States
Sara Bonomo Italy
Fernanda Borchers Coeli‐Lacchini Brazil
João Paulo Cavalcanti‐de‐Albuquerque Brazil
T. N. Rasmussen Denmark
Catarina Johansson Sweden
Kevin B. S. Chow Hong Kong
Jordi Jacas Spain
Akito Shikama Japan
P King relative to Vladimir A. Lesnikov United States Vladimir A. Lesnikov's profile →
Citations per field
00.5×1.5×2×2.5×
Vladimir A. Lesnikov · 1×
Citations per year

Countries citing papers authored by P King

Since Specialization
Citations

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

Fields of papers citing papers by P King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Increased gene expression of brown fat uncoupling protein (UCP)1 and skeletal muscle UCP2 and UCP3 in MAC16-induced cancer cachexia.
2000125
2 200782
3 200866
4 199936
5 200233
6 200322
7 199819
8 20027
9 19985
10
Dehydroepiandrosterone sulphate (DHEAS) inhibits growth of human vascular endothelial cells
20041

About P King

P King is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Genetics, Reproductive Medicine and Cell Biology, having authored 10 papers that have together received 396 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (3 papers), Estrogen and related hormone effects (2 papers), Regulation of Appetite and Obesity (2 papers), Receptor Mechanisms and Signaling (1 paper), Hypothalamic control of reproductive hormones (1 paper), Adipose Tissue and Metabolism (1 paper), Genomics and Chromatin Dynamics (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (40 citations), Physiology (92 citations), Endocrinology, Diabetes and Metabolism (54 citations), Molecular Biology (182 citations) and Behavioral Neuroscience (7 citations). P King has collaborated with scholars based in United Kingdom, Hungary and Germany. Frequent co-authors include M J Tisdale, Mark Brown, Adrian Clark, Michael J. C. Brown, Li F. Chan, Tom R. Webb, J. Paul Chapple, Teng‐Teng Chung, Sadani N. Cooray and Louise Metherell. Their work appears in journals such as Endocrine Research, The Journal of Clinical Endocrinology & Metabolism, Journal of Molecular Endocrinology, British Journal of Cancer and Hormone and Metabolic Research.

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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