David Pan

8.8k citations
46 papers · 7.2k indexed · 4 hit papers · h-index 33

David Pan

44 papers receiving 7.0k citations

Hit Papers

Calmodulin-dependent protein kinase kinase-β is an alte...1.3k19932026200420154008001.2k

Peers

David Pan
Comparison fields: 5 of 126
  • Physiology 2.9k
  • Biochemistry 708
  • Nutrition and Dietetics 1.4k
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cell Biology 927
Replace Takeshi Imamura with:
Takeshi Imamura Japan
Joost J.F.P. Luiken Netherlands
Susanne Mandrup Denmark
Odile D. Peroni United States
Jean Girard France
Yasutomi Kamei Japan
Jacqueline M. Stephens United States
Saswata Talukdar United States
Marc Prentki Canada
Jennifer Rieusset France
David Pan relative to Takeshi Imamura Japan Takeshi Imamura's profile →
Citations per field
00.5×1.5×
Takeshi Imamura · 1×
Citations per year

Countries citing papers authored by David Pan

Since Specialization
Citations

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

Fields of papers citing papers by David Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20117
3 20093
4 200833
5 200725
6
Calmodulin-dependent protein kinase kinase-β is an alternative upstream kinase for AMP-activated protein kinasebreakdown →
20051307
7 200452
8 200461
9 2003275
10 1999157
11 1998119
12 199766
13 1996278
14 1994164
15 199310
16 199386
17 199010
18 199015
19 1984115
20 19800

About David Pan

David Pan is a scholar working on Physiology, Biochemistry, Physiology, Nutrition and Dietetics and Cell Biology, having authored 46 papers that have together received 7.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (14 papers), Diet and metabolism studies (10 papers), Metabolism, Diabetes, and Cancer (10 papers), Fatty Acid Research and Health (8 papers), Muscle metabolism and nutrition (7 papers), Pancreatic function and diabetes (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Physiology (2.9k citations), Biochemistry (708 citations), Nutrition and Dietetics (1.4k citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Cell Biology (927 citations). David Pan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include D. Grahame Hardie, Leonard H Storlien, A. B. Jenkins, Louise A. Baur, A. D. Kriketos, Emma Hudson, Simon A. Hawley, John W. Scott, Stephen Lillioja and M R Milner. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Lipid Research and PLANT PHYSIOLOGY.

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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