Ming Yin

3.5k total citations · 1 hit paper
75 papers, 2.3k citations indexed

About

Ming Yin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Ming Yin has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 12 papers in Physiology. Recurrent topics in Ming Yin's work include Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Ming Yin is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Ming Yin collaborates with scholars based in China, United States and United Kingdom. Ming Yin's co-authors include Zejian Wang, Wenjuan Zhao, David Li, Peter A. Calabresi, David Leppert, Robert Glanzman, Amit Bar‐Or, Stephen L. Hauser, Ludwig Kappos and Paul O’Connor and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

Ming Yin

72 papers receiving 2.2k citations

Hit Papers

Ocrelizumab in relapsing-remitting multiple sclerosis: a ... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers

Ming Yin
Comparison fields: 5 of 121
  • Molecular Biology 698
  • Pathology and Forensic Medicine 582
  • Immunology 465
  • Physiology 316
  • Neurology 282
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Carmelo Muià Italy View profile →
Citations per field, relative to Ming Yin
Ming Yin · 1×
Citations per year, relative to Ming Yin
Ming Yin · 1×

Countries citing papers authored by Ming Yin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yin. A scholar is included among the top collaborators of Ming Yin 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 Ming Yin. Ming Yin 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
# Work Indexed citations
1 0
2 13
3 0
4 20
5 15
6 17
7 28
8 36
9 10
10 28
11 8
12 2
13
RNAi Vector Construction of AtDof1.7 Transcription Factors and Genetic Transformation into Arabidopsis thaliana
1
14 1
15 12
16 32
17 24
18 10
19 89
20
Inhibitors of 5-lipoxygenase inhibit expression of intercellular adhesion molecule-1 in human melanoma cells.
12

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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