Michelle Lu

21 papers receiving 268 citations

Peers

Michelle Lu
Comparison fields: 5 of 63
  • Hepatology 36
  • Transplantation 7
  • Surgery 79
  • Virology 8
  • Infectious Diseases 29
Replace Wim van de Vrie with:
Wim van de Vrie Netherlands
Martha Fournier United States
Patrizia Künzler‐Heule Switzerland
Giorgio Fiore Italy
Wenhui Huang China
Susana Llerena Spain
Marie Chauveau France
Katharina Büsch Sweden
Karen Earle United States
Xuanlin Hou United States
Michelle Lu relative to Wim van de Vrie Netherlands Wim van de Vrie's profile →
Citations per field
00.5×10×13×
Wim van de Vrie · 1×
Citations per year

Countries citing papers authored by Michelle Lu

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020118
2 201923
3 201721
4 202321
5 202212
6 202112
7 202110
8 20169
9 20226
10 20226
11 20206
12 20215
13 20234
14
Leaflet Mechanical Properties of Carpentier-Edwards Perimount Magna Pericardial Aortic Bioprostheses.
20174
15 20204
16 20233
17 20232
18 20201
19 20241
20
Dynamic 18F-DCFPyL PET/CT imaging of biopsy-proven high-risk primary prostate cancer patients
20201

About Michelle Lu

Michelle Lu is a scholar working on Infectious Diseases, Molecular Biology, General Health Professions, Pulmonary and Respiratory Medicine and Surgery, having authored 23 papers that have together received 270 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (3 papers), Homelessness and Social Issues (2 papers), Prostate Cancer Treatment and Research (2 papers), Liver Disease and Transplantation (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Renal Transplantation Outcomes and Treatments (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Cannabis and Cannabinoid Research (1 paper). The work is most often cited by research in Hepatology (36 citations), Transplantation (7 citations), Surgery (79 citations), Virology (8 citations) and Infectious Diseases (29 citations). Michelle Lu has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Joseph DiNorcia, Fady M. Kaldas, Vatche G. Agopian, Takahiro Ito, Ronald W. Busuttil, Douglas G. Farmer, Daniela Markovic, Antony Aziz, Hirofumi Hirao and Hidenobu Kojima. Their work appears in journals such as PLoS ONE, CMAJ Open, Journal of Surgical Research, Molecular Imaging and Biology and AIDS Care.

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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