Albert S. Chang

1.7k citations
16 papers · 1.4k indexed · 1 hit paper · h-index 12

Albert S. Chang

15 papers receiving 1.4k citations

Hit Papers

Antidepressant- and cocaine-sensitive human serotonin tra...19932026200420151993200400600

Peers

Albert S. Chang
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 601
  • Molecular Biology 587
  • Epidemiology 143
  • Pharmacology 134
  • Physiology 123
Replace Kazuhiro Kurokawa with:
Kazuhiro Kurokawa Japan
Guang Chen China
Giulia Bellini Italy
G. Benzi Italy
Osamu Kitamura Japan
Pedro J. Camello Spain
Guangrui Yang China
E. Arilla Spain
Xiu‐Qing Yao China
Anne B. Walls Denmark
Albert S. Chang relative to Kazuhiro Kurokawa Japan Kazuhiro Kurokawa's profile →
Citations per field
00.5×3.9×
Kazuhiro Kurokawa · 1×
Citations per year

Countries citing papers authored by Albert S. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Albert S. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert S. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Albert S. Chang. A scholar is included among the top collaborators of Albert S. Chang 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 Albert S. Chang. Albert S. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 31
3 38
4 11
5 154
6 42
7 76
8 32
9 8
10 27
11 129
12 32
13
Antidepressant- and cocaine-sensitive human serotonin transporter: molecular cloning, expression, and chromosomal localization.breakdown →
737
14
Association between hepatitis C virus antibodies and hepatocellular carcinoma in Taiwan.
118
15 6
16
ROLE OF BRAIN SEROTONERGIC AND CATECHOLAMI-NERGIC SYSTEMS IN ACUPUNCTURE ANALGESIA
3

About Albert S. Chang

Albert S. Chang is a scholar working on Cellular and Molecular Neuroscience, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (601 citations), Biological Psychiatry (65 citations) and Nephrology (119 citations). Albert S. Chang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Andrea L. Bauman, Sammanda Ramamoorthy, Teresa L. Yang‐Feng, Randy Blakely, Kimberly R. Moore, Vadivel Ganapathy, Ho Jae Han, Oliver Smithies, Masao Kakoki and Catherine K. Hathaway. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Journal of Pharmacology and Experimental Therapeutics.

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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