Philip A. Kern

22.3k citations
194 papers · 17.3k indexed · 6 hit papers · h-index 61
Topics
Adipose Tissue and Metabolism (84 papers)Adipokines, Inflammation, and Metabolic Diseases (60 papers)Lipid metabolism and disorders (32 papers)

In The Last Decade

Philip A. Kern

190 papers receiving 16.9k citations

Hit Papers

Leptin levels in human and rodent: Measurement of plasma ...19952026200520151995200119952003199610002.0k3.0k

Peers

Philip A. Kern
Comparison fields: 5 of 172
  • Physiology 8.1k
  • Epidemiology 7.0k
  • Molecular Biology 4.2k
  • Endocrine and Autonomic Systems 3.7k
  • Cardiology and Cardiovascular Medicine 2.5k
Replace Gema Frühbeck with:
Gema Frühbeck Spain
Antonio Vidal‐Puig United Kingdom
Susan K. Fried United States
José Manuel Fernández‐Real Spain
Paul Trayhurn United Kingdom
Martin Wabitsch Germany
Karine Clément France
Aimin Xu Hong Kong
Lı́cio A. Velloso Brazil
Peter J. Havel United States
Philip A. Kern relative to Gema Frühbeck Spain Gema Frühbeck's profile →
Citations per field
00.5×1.5×
Gema Frühbeck · 1×
Citations per year

Countries citing papers authored by Philip A. Kern

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Kern. 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 Philip A. Kern. The network helps show where Philip A. Kern may publish in the future.

Co-authorship network of co-authors of Philip A. Kern

This figure shows the co-authorship network connecting the top 25 collaborators of Philip A. Kern. A scholar is included among the top collaborators of Philip A. Kern based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip A. Kern. Philip A. Kern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 6
5 31
6 4
7 46
8 12
9 167
10 147
11 35
12 24
13 2
14 16
15 24
16 19
17 99
18 38
19 16
20 89

About Philip A. Kern

Philip A. Kern is a scholar working on Physiology, Biochemistry and Rehabilitation, having authored 194 papers that have together received 17.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (84 papers), Adipokines, Inflammation, and Metabolic Diseases (60 papers) and Lipid metabolism and disorders (32 papers). The work is most often cited by research in Endocrine and Autonomic Systems (3.7k citations), Physiology (8.1k citations) and Epidemiology (7.0k citations). Philip A. Kern has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Neda Rasouli, Gouri Ranganathan, Juling Ong, Subramanian Ranganathan, Mehrnoosh Saghizadeh, Chunling Li, R B Simsolo, Aiwei Yao‐Borengasser, Margherita Maffei and Tong Lü. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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