Hsiao‐Mei Lu

1.7k citations
22 papers · 651 indexed · h-index 12
Topics
Genomics and Rare Diseases (10 papers)Genomic variations and chromosomal abnormalities (6 papers)Cancer Genomics and Diagnostics (5 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Hsiao‐Mei Lu

21 papers receiving 646 citations

Peers

Hsiao‐Mei Lu
Comparison fields: 5 of 85
  • Genetics 339
  • Molecular Biology 321
  • Cancer Research 136
  • Pathology and Forensic Medicine 83
  • Pulmonary and Respiratory Medicine 54
Replace Katri Pylkäs with:
Katri Pylkäs Finland
Tymor Hamamsy United States
Praveen F. Cherukuri United States
Mathieu Quinodoz Switzerland
Nicola Whiffin United Kingdom
Hyun Yong Jeon South Korea
Megan R. Vanstone Canada
Raman Kumar Australia
Wen-Mei Li China
Anne Fogli France
Hsiao‐Mei Lu relative to Katri Pylkäs Finland Katri Pylkäs's profile →
Citations per field
00.5×1.5×
Katri Pylkäs · 1×
Citations per year

Countries citing papers authored by Hsiao‐Mei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao‐Mei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao‐Mei Lu. 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 Hsiao‐Mei Lu. The network helps show where Hsiao‐Mei Lu may publish in the future.

Co-authorship network of co-authors of Hsiao‐Mei Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao‐Mei Lu. A scholar is included among the top collaborators of Hsiao‐Mei Lu 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 Hsiao‐Mei Lu. Hsiao‐Mei Lu 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 3
2 19
3 58
4 10
5 24
6 116
7 9
8 79
9 34
10 121
11 58
12 21
13 9
14 32
15 8
16 15
17 2
18 1
19
Feature Selection of Support Vector Regression for Quantitative Structure-Activity Relationships (QSAR).
0
20 23

About Hsiao‐Mei Lu

Hsiao‐Mei Lu is a scholar working on Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 22 papers that have together received 651 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (6 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Genetics (339 citations), Cancer Research (136 citations) and Molecular Biology (321 citations). Hsiao‐Mei Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jefferey Chen, Shuwei Li, Wenbo Mu, Aaron Elliott, Elizabeth Chao, Mary Helen Black, Kelly D. Farwell, Yuan Tian, Hong Lu and Wenqi Zeng. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Neurophysiology.

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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