P King

990 citations
28 papers · 812 · h-index 15

Impact in

Papers in

P King

28 papers receiving 792 citations

Peers

P King
Comparison fields: 5 of 88
  • Endocrine and Autonomic Systems 87
  • Physiology 113
  • Nutrition and Dietetics 60
  • Electrical and Electronic Engineering 225
  • Mechanics of Materials 90
Replace Y Mori with:
Y Mori Japan
Shun Sasaki Japan
Daoyong Li China
Toshiyuki Kudo Japan
Carolyn L. Bayer United States
Shin Ae Kim South Korea
Xiaohong Li China
Tatsuya Nakajima Japan
Preethi S. Ganapathy United States
Kotaro Oyama Japan
P King relative to Y Mori Japan Y Mori's profile →
Citations per field
00.5×3.6×
Y Mori · 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

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015166
2
Increased gene expression of brown fat uncoupling protein (UCP)1 and skeletal muscle UCP2 and UCP3 in MAC16-induced cancer cachexia.
2000119
3 200777
4 200861
5 200360
6 200947
7 199934
8 200234
9 201132
10 200329
11 201226
12 200322
13 199819
14 201414
15 201214
16 202110
17 20148
18 20007
19 20086
20 20105

About P King

P King is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Endocrine and Autonomic Systems, Oncology and Materials Chemistry, having authored 28 papers that have together received 812 indexed citations. Recurring topics across this work include Semiconductor materials and devices (7 papers), Regulation of Appetite and Obesity (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Neuropeptides and Animal Physiology (3 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), HER2/EGFR in Cancer Research (2 papers), Catalytic Processes in Materials Science (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (87 citations), Physiology (113 citations), Nutrition and Dietetics (60 citations), Electrical and Electronic Engineering (225 citations) and Mechanics of Materials (90 citations). P King has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include A.G. O’Neill, Nikhil Ponon, Erhan Arac, K.S.K. Kwa, Daniel J. R. Appleby, Peter W. Collins, Mark Brown, M J Tisdale, G. Williams and M.-R. Lin. Their work appears in journals such as Endocrine Research, Thin Solid Films, Journal of Materials Chemistry, Journal of Clinical Oncology and Applied Physics Letters.

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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