LI Ming-shan

428 citations
21 papers · 317 indexed · h-index 11
Topics
Neuroscience and Neuropharmacology Research (4 papers)Axon Guidance and Neuronal Signaling (4 papers)Cancer-related molecular mechanisms research (4 papers)

In The Last Decade

LI Ming-shan

20 papers receiving 313 citations

Peers

LI Ming-shan
Comparison fields: 5 of 77
  • Molecular Biology 149
  • Cancer Research 98
  • Cellular and Molecular Neuroscience 72
  • Oncology 45
  • Developmental Neuroscience 41
Replace Young Hoon Ji with:
Young Hoon Ji South Korea
Marta González-García Spain
Pundit Asavaritikrai Thailand
Hirotaka Kanzaki Japan
Thorsten Wiederhold United States
Nadiya Byts Finland
Junya Nakade Japan
Chunxiao Miao China
Sylvana Tahraoui France
Kazuki Nakahara Japan
LI Ming-shan relative to Young Hoon Ji South Korea Young Hoon Ji's profile →
Citations per field
00.5×1.5×
Young Hoon Ji · 1×
Citations per year

Countries citing papers authored by LI Ming-shan

Since Specialization
Citations

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

Fields of papers citing papers by LI Ming-shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of LI Ming-shan

This figure shows the co-authorship network connecting the top 25 collaborators of LI Ming-shan. A scholar is included among the top collaborators of LI Ming-shan 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 LI Ming-shan. LI Ming-shan 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 0
2 1
3 2
4 1
5 13
6 9
7 10
8 20
9 23
10 55
11 4
12 14
13 12
14 47
15 2
16 60
17 10
18 20
19
Formation of the entorhino-hippocampal pathway: a tracing study in vitro and in vivo.
10
20
Pirate Printing in Beijing Official Newspaper Bureau and the Formulation of Late-Qing Copyright Law
2

About LI Ming-shan

LI Ming-shan is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cancer Research, having authored 21 papers that have together received 317 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Axon Guidance and Neuronal Signaling (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Developmental Neuroscience (41 citations), Cancer Research (98 citations) and Neurology (35 citations). LI Ming-shan has collaborated with scholars based in China, Indonesia and United Kingdom. Frequent co-authors include Jinbo Deng, Dongming Yu, Yili Liu, Xiling Zhang, Jie Liu, Ping Wang, Wenjuan Fan, Yanli Niu, Bin Liu and Lu Liu. Their work appears in journals such as Brain Research, Gene and Medicine.

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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