Hongzhi Lan

17 papers receiving 742 citations

Hit Papers

SimVascular: An Open Source Pipeline for Cardiovascular S...20162026201920222016100200300400

Peers

Hongzhi Lan
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 282
  • Biomedical Engineering 249
  • Surgery 226
  • Pulmonary and Respiratory Medicine 186
  • Mechanics of Materials 123
Replace Sarah C. Vigmostad with:
Sarah C. Vigmostad United States
Matts Karlsson Sweden
Nuno Rebelo United States
Will Zhang United States
Martin Genet France
Andrew Narracott United Kingdom
John C. Criscione United States
Ankush Aggarwal United Kingdom
J. de Hart Netherlands
Robert Cimrman Czechia
Hongzhi Lan relative to Sarah C. Vigmostad United States Sarah C. Vigmostad's profile →
Citations per field
00.5×9.5×
Sarah C. Vigmostad · 1×
Citations per year

Countries citing papers authored by Hongzhi Lan

Since Specialization
Citations

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

Fields of papers citing papers by Hongzhi Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongzhi Lan

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 5
4 6
5 2
6 21
7 76
8
SimVascular: An Open Source Pipeline for Cardiovascular Simulationbreakdown →
417
9
SimVascular 2.0: an Integrated Open Source Pipeline for Image-Based Cardiovascular Modeling and Simulation
2
10 13
11 52
12 5
13 25
14 31
15 2
16 4
17 20
18 46
19 32

About Hongzhi Lan

Hongzhi Lan is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Mechanics of Materials, having authored 19 papers that have together received 759 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (4 papers), 3D Printing in Biomedical Research (4 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (282 citations), Pulmonary and Respiratory Medicine (186 citations) and Biomedical Engineering (249 citations). Hongzhi Lan has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Nathan M. Wilson, Shawn C. Shadden, Adam Updegrove, Alison L. Marsden, T. A. Venkatesh, Jameson Merkow, Damir B. Khismatullin, Ahmed M. Al‐Jumaily, Andrew Lowe and Wayne Hing. Their work appears in journals such as Journal of the American College of Cardiology, Acta Materialia and Biophysical Journal.

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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