Min‐Liang Pan

23 papers receiving 375 citations

Peers

Min‐Liang Pan
Comparison fields: 5 of 64
  • Physiology 160
  • Molecular Biology 149
  • Cellular and Molecular Neuroscience 114
  • Epidemiology 66
  • Radiology, Nuclear Medicine and Imaging 48
Replace Thais Amaral e Sousa with:
Thais Amaral e Sousa Brazil
Travis L. Stiles United States
Matthias Ebbinghaus Germany
Federica Cherchi Italy
Tajinder S. Dhammu United States
Vini Nagaraj United States
Azar Baharpoor Sweden
Barbara Feldmann United States
Hai‐Tao Yan China
Jiu‐Haw Yin Taiwan
Min‐Liang Pan relative to Thais Amaral e Sousa Brazil Thais Amaral e Sousa's profile →
Citations per field
00.5×3.4×
Thais Amaral e Sousa · 1×
Citations per year

Countries citing papers authored by Min‐Liang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Liang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min‐Liang Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Liang Pan. A scholar is included among the top collaborators of Min‐Liang Pan 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 Min‐Liang Pan. Min‐Liang Pan 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 26
2 6
3 13
4 4
5 22
6 11
7 8
8 13
9 49
10
18F-Fluorodeoxyglycosylamines: Maillard reaction of 18F-FDG with biological amines
3
11
Evaluation of serotonin 5HT1A receptors in postmortem Alzheimer’s disease brains
1
12
Norepinephrine effects on Aβ-amyloid plaques in post-mortem Alzheimer’s disease brain
1
13 6
14 20
15 21
16 19
17 33
18 67
19 17
20
18F-Fallypride PET to monitor pancreatic beta cell loss in diabetes mellitus
2

About Min‐Liang Pan

Min‐Liang Pan is a scholar working on Cellular and Molecular Neuroscience, Rehabilitation and Physiology, having authored 23 papers that have together received 381 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Receptor Mechanisms and Signaling (7 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (114 citations), Physiology (160 citations) and Rehabilitation (34 citations). Min‐Liang Pan has collaborated with scholars based in United States and Japan. Frequent co-authors include Jogeshwar Mukherjee, Cristian Constantinescu, Mohammadreza Mirbolooki, Cristian C. Constantinescu, Adriana Garcia, S. Upadhyay, Robert A. Coleman, Christopher Liang, Suresh K. Pandey and Evgueni A. Sevrioukov. Their work appears in journals such as The Journal of Comparative Neurology, Journal of Nuclear Medicine and Bioorganic & Medicinal Chemistry 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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