Dun‐Sheng Yang

14.2k citations
28 papers · 2.5k indexed · 2 hit papers · h-index 19
Topics
Alzheimer's disease research and treatments (14 papers)Autophagy in Disease and Therapy (13 papers)Cellular transport and secretion (4 papers)

In The Last Decade

Dun‐Sheng Yang

25 papers receiving 2.5k citations

Hit Papers

Autophagy failure in Alzheimer's disease—locating the pri...201120262016202120112022100200300400

Peers

Dun‐Sheng Yang
Comparison fields: 5 of 106
  • Physiology 1.4k
  • Molecular Biology 1.0k
  • Epidemiology 751
  • Cell Biology 533
  • Neurology 332
Replace Monika Pawlik with:
Monika Pawlik United States
María Dolores Ledesma Spain
Philip Stavrides United States
Barry Boland Ireland
Juan Pablo Muñoz Spain
Martin J. Berg United States
Estela Área-Gómez United States
Devin M. Wolfe United States
Mathieu Bourdenx France
Jordi Magrané United States
Dun‐Sheng Yang relative to Monika Pawlik United States Monika Pawlik's profile →
Citations per field
00.5×
Monika Pawlik · 1×
Citations per year

Countries citing papers authored by Dun‐Sheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dun‐Sheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dun‐Sheng Yang. 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 Dun‐Sheng Yang. The network helps show where Dun‐Sheng Yang may publish in the future.

Co-authorship network of co-authors of Dun‐Sheng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dun‐Sheng Yang. A scholar is included among the top collaborators of Dun‐Sheng Yang 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 Dun‐Sheng Yang. Dun‐Sheng Yang 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 0
3 0
4
Faulty autolysosome acidification in Alzheimer’s disease mouse models induces autophagic build-up of Aβ in neurons, yielding senile plaquesbreakdown →
397
5 55
6 62
7 18
8
Autophagy failure in Alzheimer's disease—locating the primary defectbreakdown →
491
9 40
10 25
11 88
12 144
13 43
14 296
15 7
16 130
17 102
18 66
19 225
20 91

About Dun‐Sheng Yang

Dun‐Sheng Yang is a scholar working on Physiology, Physiology and Epidemiology, having authored 28 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Autophagy in Disease and Therapy (13 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Physiology (1.4k citations), Neurology (332 citations) and Biological Psychiatry (88 citations). Dun‐Sheng Yang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ralph A. Nixon, Ju‐Hyun Lee, Paul E. Fraser, Philip Stavrides, Avijit Chakrabartty, Christopher M. Yip, Efrat Levy, Monika Pawlik, Martin J. Berg and Anne M. Cataldo. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nano 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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