Hsienwie Lu

818 total citations
16 papers, 676 citations indexed

About

Hsienwie Lu is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Hsienwie Lu has authored 16 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Hsienwie Lu's work include Neonatal Respiratory Health Research (4 papers), Neuroscience of respiration and sleep (4 papers) and Cardiac Fibrosis and Remodeling (4 papers). Hsienwie Lu is often cited by papers focused on Neonatal Respiratory Health Research (4 papers), Neuroscience of respiration and sleep (4 papers) and Cardiac Fibrosis and Remodeling (4 papers). Hsienwie Lu collaborates with scholars based in United States and Canada. Hsienwie Lu's co-authors include Corinne M. Silva, Karen A. Vincent, Canwen Jiang, Adam J. Belanger, Richard J. Gregory, Seng H. Cheng, Taro Date, Richard N. Day, Renhui Yang and Hongkui Jin and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

Hsienwie Lu

16 papers receiving 656 citations

Peers

Hsienwie Lu
Comparison fields: 5 of 71
  • Molecular Biology 274
  • Cardiology and Cardiovascular Medicine 209
  • Cancer Research 175
  • Endocrinology, Diabetes and Metabolism 106
  • Oncology 105
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Josette Philippe France
Sheila B. Murphy United States
Nerea Hermida Spain
C. Adamy France
N Kraenkel Germany
Jarkko Soronen Finland
Panagiotis Flevaris United States
Shigeo Iino Japan
Juergen Fingerle Switzerland
Kaida Ji China
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Citations per field, relative to Hsienwie Lu
Hsienwie Lu · 1×
Citations per year, relative to Hsienwie Lu
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Countries citing papers authored by Hsienwie Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hsienwie Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsienwie Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsienwie Lu. A scholar is included among the top collaborators of Hsienwie 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 Hsienwie Lu. Hsienwie Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 13
2 115
3 116
4 26
5 48
6 16
7 105
8 23
9 12
10 12
11 11
12 59
13 10
14 58
15 22
16 30

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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