Weiming Xia

164 papers receiving 11.5k citations

Weiming Xia's Hit Papers

Two transmembrane aspartates in presenilin-1 required for presenilin endoproteolysis and γ-secretase activity 1999 · 1.6k citations
1.6k0+9+19Years since publication50010001.5k

Peers

Weiming Xia
Comparison fields: 5 of 162
  • Physiology 6.8k
  • Developmental Neuroscience 655
  • Pharmacology 2.0k
  • Cellular and Molecular Neuroscience 2.0k
  • Cell Biology 1.8k
Replace Jochen Walter with:
Jochen Walter Germany
Seth Love United Kingdom
Gail V.W. Johnson United States
Gerald A. Higgins United States
James W. Geddes United States
Irina Alafuzoff Sweden
Mark S. Kindy United States
Jürgen Götz Australia
David H. Cribbs United States
Li Gan United States
Weiming Xia relative to Jochen Walter Germany Jochen Walter's profile →
Citations per field
00.5×1.5×
Jochen Walter · 1×
Citations per year

Countries citing papers authored by Weiming Xia

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Two transmembrane aspartates in presenilin-1 required for presenilin endoproteolysis and γ-secretase activity
Hit paper breakdown →
19991568
2
Skeletal and CNS Defects in Presenilin-1-Deficient Mice
Hit paper breakdown →
1997771
3 2000434
4 2006428
5 2006412
6 2003368
7 1998346
8 1999325
9 2000278
10 1997250
11 1997242
12 1999236
13 2009228
14 2000207
15 1997203
16 2007187
17 1998184
18 2009183
19 1999163
20 2020155

About Weiming Xia

Weiming Xia is a scholar working on Physiology, Molecular Biology, Cell Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 170 papers that have together received 11.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (94 papers), Cholinesterase and Neurodegenerative Diseases (25 papers), Cellular transport and secretion (12 papers), Computational Drug Discovery Methods (12 papers), Prion Diseases and Protein Misfolding (12 papers), Dementia and Cognitive Impairment Research (11 papers), Neuroscience and Neuropharmacology Research (9 papers) and Drug Transport and Resistance Mechanisms (9 papers). The work is most often cited by research in Physiology (6.8k citations), Developmental Neuroscience (655 citations), Pharmacology (2.0k citations), Cellular and Molecular Neuroscience (2.0k citations) and Cell Biology (1.8k citations). Weiming Xia has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dennis J. Selkoe, Michael S. Wolfe, Beth L. Ostaszewski, W. Taylor Kimberly, Thekla S. Diehl, Edward H. Koo, Dennis J. Selkoe, Jie Shen, Susumu Tonegawa and Dongfeng Chen. Their work appears in journals such as Journal of Alzheimer s Disease, Alzheimer s & Dementia, Journal of Biological Chemistry, Scientific Reports and Neurobiology of Disease.

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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