Xiang‐Lei Yang

6.6k citations
114 papers · 5.4k · h-index 41

Impact in

Papers in

Xiang‐Lei Yang

112 papers receiving 5.4k citations

Peers

Xiang‐Lei Yang
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 929
  • Molecular Biology 3.6k
  • Aging 25
  • Biological Psychiatry 13
  • Geriatrics and Gerontology 29
Replace Jiro Usukura with:
Jiro Usukura Japan
Corey E. Bakalarski United States
H. T. Marc Timmers Netherlands
Mads Grønborg Denmark
Vaughan M. Latham United States
Odile Filhol France
Ellis Jaffray United Kingdom
Eric J. Bennett United States
Jörg Tatzelt Germany
Shawn S.‐C. Li Canada
Xiang‐Lei Yang relative to Jiro Usukura Japan Jiro Usukura's profile →
Citations per field
00.5×2×4×5.8×
Jiro Usukura · 1×
Citations per year

Countries citing papers authored by Xiang‐Lei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiang‐Lei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014353
2 2010288
3 2021207
4 1999183
5 2012142
6 2015133
7 2012131
8 2007128
9 2012118
10 2013116
11 2015104
12 2011102
13 2014102
14 200998
15 201897
16 201295
17 200994
18 200990
19 201488
20 200383

About Xiang‐Lei Yang

Xiang‐Lei Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Hematology, Oncology and Epidemiology, having authored 114 papers that have together received 5.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (71 papers), Hereditary Neurological Disorders (22 papers), DNA and Nucleic Acid Chemistry (8 papers), Angiogenesis and VEGF in Cancer (5 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Platelet Disorders and Treatments (3 papers), DNA Repair Mechanisms (2 papers) and Mechanisms of cancer metastasis (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (929 citations), Molecular Biology (3.6k citations), Aging (25 citations), Biological Psychiatry (13 citations) and Geriatrics and Gerontology (29 citations). Xiang‐Lei Yang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include PAUL R. SCHIMMEL, Min Guo, Huihao Zhou, Yeeting Esther Chong, Leslie A. Nangle, Na Wei, Yi Shi, Litao Sun, Duncan E. McRee and R.J. Skene. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nature Communications, Nucleic Acids Research and Biochemistry.

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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