Loan Bui

28 papers receiving 423 citations

Peers

Loan Bui
Comparison fields: 5 of 79
  • Genetics 212
  • Hematology 81
  • Immunology and Allergy 30
  • Oncology 99
  • Cancer Research 52
Replace Zuzana Tatárová with:
Zuzana Tatárová United States
Andreas Ehlich Germany
Matthias Mann Germany
Deborah Kwok United States
Sylvia Herter Switzerland
Gerald Moncayo Switzerland
Sophie de Boüard France
Suvi Natunen Finland
Hooi Ching Lim Sweden
Kelly Mitchell United States
Loan Bui relative to Zuzana Tatárová United States Zuzana Tatárová's profile →
Citations per field
00.5×4.5×
Zuzana Tatárová · 1×
Citations per year

Countries citing papers authored by Loan Bui

Since Specialization
Citations

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

Fields of papers citing papers by Loan Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human kallikrein 4 (KLK4) is highly expressed in serous ovarian carcinomas.
2001103
2 200153
3 200748
4 200547
5 200819
6 201718
7 202115
8 201613
9 202213
10 202112
11 20239
12 20209
13 20038
14
Hormone-dependent cancers: New approaches to identification of potential diagnostic and/or therapeutic biomarkers
20107
15 20217
16 20187
17 20246
18 20166
19 20176
20 20165

About Loan Bui

Loan Bui is a scholar working on Genetics, Molecular Biology, Biomedical Engineering, Cell Biology and Oncology, having authored 30 papers that have together received 432 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Cellular Mechanics and Interactions (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), 3D Printing in Biomedical Research (4 papers), Cancer Cells and Metastasis (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Infections and bacterial resistance (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Genetics (212 citations), Hematology (81 citations), Immunology and Allergy (30 citations), Oncology (99 citations) and Cancer Research (52 citations). Loan Bui has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Judith A. Clements, Hemamali Samaratunga, Ying Dong, Stephen Myers, Simon Chu, Peter J. Fuller, James Nicklin, Tracey J. Harvey, John D. Hooper and Adrian C. Herington. Their work appears in journals such as The Prostate, Parasitology Research, Materials Science and Engineering C, Frontiers in Bioengineering and Biotechnology and Biomedical Optics Express.

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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