Min‐Liang Pan

464 citations
23 papers · 381 indexed · h-index 13

Min‐Liang Pan

23 papers receiving 375 citations

Peers

Min‐Liang Pan
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 114
  • Physiology 160
  • Rehabilitation 34
  • Molecular Biology 149
  • 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

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

All Works

20 of 20 papers shown
#Work
1 201726
2 20166
3 201613
4 20164
5 201522
6 201411
7 20148
8 201413
9 201349
10
18F-Fluorodeoxyglycosylamines: Maillard reaction of 18F-FDG with biological amines
20133
11
Evaluation of serotonin 5HT1A receptors in postmortem Alzheimer’s disease brains
20131
12
Norepinephrine effects on Aβ-amyloid plaques in post-mortem Alzheimer’s disease brain
20131
13 20126
14 201220
15 201221
16 201219
17 201133
18 201167
19 201117
20
18F-Fallypride PET to monitor pancreatic beta cell loss in diabetes mellitus
20092

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), Nicotinic Acetylcholine Receptors Study (5 papers), Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (4 papers), Medical Imaging Techniques and Applications (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 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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