E. Du

1.1k citations
31 papers · 834 · h-index 16

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Microfluidic and Bio-sensing Technologies
    • Microfluidic and Capillary Electrophoresis Applications
    • 3D Printing in Biomedical Research

Papers in

E. Du

31 papers receiving 808 citations

Peers

E. Du
Comparison fields: 5 of 100
  • Genetics 114
  • Biomedical Engineering 462
  • Hematology 88
  • Physiology 180
  • Biophysics 31
Replace Win-Li Lin with:
Win-Li Lin Taiwan
Lakshmi Shree Kulumani Mahadevan United States
Francisco J. Tovar‐Lopez Australia
Yuncheng Man United States
Meng Han China
Magalie Faivre France
Moinuddin Hassan United States
Yi‐Shing Lisa Cheng United States
Kazuhiko Adachi Japan
Thomas C. Cetas United States
E. Du relative to Win-Li Lin Taiwan Win-Li Lin's profile →
Citations per field
00.5×1.5×2.3×
Win-Li Lin · 1×
Citations per year

Countries citing papers authored by E. Du

Since Specialization
Citations

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

Fields of papers citing papers by E. Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200693
2 201379
3 201579
4 201472
5 202056
6 201548
7 200848
8 202444
9 200644
10 201038
11 202133
12 201633
13 201927
14 201922
15 200520
16 202016
17 201615
18 202011
19 20089
20 20088

About E. Du

E. Du is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Genetics, Physiology and Molecular Biology, having authored 31 papers that have together received 834 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (12 papers), Hemoglobinopathies and Related Disorders (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Electrowetting and Microfluidic Technologies (5 papers), Iron Metabolism and Disorders (4 papers), Blood properties and coagulation (4 papers) and Electrostatics and Colloid Interactions (3 papers). The work is most often cited by research in Genetics (114 citations), Biomedical Engineering (462 citations), Hematology (88 citations), Physiology (180 citations) and Biophysics (31 citations). E. Du has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Ming Dao, Subra Suresh, Souran Manoochehri, Monica Diez-Silva, Jia Liu, Andrew V. Oleinikov, Yuhao Qiang, Gregory J. Kato, Stacey Ma and Oscar Salas‐Solano. Their work appears in journals such as Electrophoresis, Lab on a Chip, Proceedings of the National Academy of Sciences, Analytical and Bioanalytical Chemistry and IET Nanobiotechnology.

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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