Albert Chan

23 papers receiving 352 citations

Peers

Albert Chan
Comparison fields: 5 of 67
  • Endocrine and Autonomic Systems 82
  • Behavioral Neuroscience 27
  • Reproductive Medicine 63
  • Cellular and Molecular Neuroscience 105
  • Hepatology 38
Replace Danièle Mazur with:
Danièle Mazur France
Klaus D. Döhler Germany
Uday Singh India
Agnete Overgaard Denmark
Elodie Hanon United Kingdom
W Klootwijk Netherlands
Rebecca McClusky United States
M Motta Italy
Marcelo Moretto Brazil
A. Haidan Germany
Albert Chan relative to Danièle Mazur France Danièle Mazur's profile →
Citations per field
00.5×1.5×2.4×
Danièle Mazur · 1×
Citations per year

Countries citing papers authored by Albert Chan

Since Specialization
Citations

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

Fields of papers citing papers by Albert Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198682
2 198546
3 198329
4 198429
5 198028
6 198818
7 198818
8 198018
9 198118
10 198112
11 198511
12 197311
13 198511
14 19938
15 19996
16 19984
17 20203
18
Serotonin N-acetyltransferase and its regulation by pineal substances.
19823
19 19813
20 19872

About Albert Chan

Albert Chan is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Molecular Biology, Reproductive Medicine and Surgery, having authored 24 papers that have together received 367 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (6 papers), Hypothalamic control of reproductive hormones (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (3 papers), Circadian rhythm and melatonin (3 papers), Pancreatic function and diabetes (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (82 citations), Behavioral Neuroscience (27 citations), Reproductive Medicine (63 citations), Cellular and Molecular Neuroscience (105 citations) and Hepatology (38 citations). Albert Chan has collaborated with scholars based in United States and Germany. Frequent co-authors include Manuchair Ebadi, Carol A. Dudley, Robert L. Moss, C. Richard Fleming, Kenneth A. Huizenga, W. Michael O’Fallon, Eugene P. DiMagno, Vay Liang W. Go, Stephen J. Lanspa and Rolland E. Dickson. Their work appears in journals such as Neuroendocrinology, Gastroenterology, Brain Research, Behavior Research Methods and Pancreas.

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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