Ke An

34 papers receiving 561 citations

Ke An's Hit Papers

Enhanced glycolysis-derived lactate promotes microglial activation in Parkinson’s disease via histone lactylation 2025 · 16 citations
160Years since publication51015

Peers

Ke An
Comparison fields: 5 of 92
  • Rehabilitation 45
  • Pathology and Forensic Medicine 99
  • Radiology, Nuclear Medicine and Imaging 95
  • Developmental Neuroscience 15
  • Aging 6
Replace Alessia Farinazzo with:
Alessia Farinazzo Italy
Junichi Eguchi Japan
Suzhen Zhang China
Shilian Liu China
F. Lambert France
Kumiko Ishikawa Japan
Hyunjung Baek South Korea
Alessandro S. Farias Brazil
Catherine Pythoud Switzerland
Michaela Waibel Australia
Ke An relative to Alessia Farinazzo Italy Alessia Farinazzo's profile →
Citations per field
00.5×
Alessia Farinazzo · 1×
Citations per year

Countries citing papers authored by Ke An

Since Specialization
Citations

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

Fields of papers citing papers by Ke An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200068
2 199456
3 202052
4 199752
5 200542
6 202142
7 199841
8 200529
9 199926
10 202319
11
Enhanced glycolysis-derived lactate promotes microglial activation in Parkinson’s disease via histone lactylation
Hit paper breakdown →
202516
12
In vivo hair growth activity of Prunus dulcis seeds in rats.
200914
13 201914
14 202312
15 202512
16 200310
17 20188
18 20228
19 20238
20 20226

About Ke An

Ke An is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Surgery and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 575 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Molecular Sensors and Ion Detection (4 papers), Bacteriophages and microbial interactions (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Machine Learning in Bioinformatics (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Sulfur Compounds in Biology (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Rehabilitation (45 citations), Pathology and Forensic Medicine (99 citations), Radiology, Nuclear Medicine and Imaging (95 citations), Developmental Neuroscience (15 citations) and Aging (6 citations). Ke An has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include W.P. Cooney, Tyson K. Cobb, Eric T. Gillock, Richard A. Consigli, Yifeng Han, Lars Berglund, Chen Bai, Fong‐Chin Su, Xiaoyin Cai and Scott T. Rottinghaus. Their work appears in journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Bioinformatics, Proteins Structure Function and Bioinformatics, New Journal of Chemistry and Neurology.

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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