E. Du

1.1k citations
36 papers · 921 · 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

34 papers receiving 890 citations

Peers

E. Du
Comparison fields: 5 of 97
  • Genetics 115
  • Biomedical Engineering 499
  • Hematology 82
  • Physiology 182
  • Biophysics 31
Replace Win-Li Lin with:
Win-Li Lin Taiwan
Lakshmi Shree Kulumani Mahadevan United States
Yuncheng Man United States
Masahiro Ikeda Japan
Minghui Tang China
Magalie Faivre France
Thomas C. Cetas United States
Kazuhiko Adachi Japan
Bumseok Namgung Singapore
Nobuyuki Futai Japan
E. Du relative to Win-Li Lin Taiwan Win-Li Lin's profile →
Citations per field
00.5×4.5×
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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006108
2 201589
3 201382
4 201478
5 202061
6 202456
7 200851
8 201551
9 200649
10 201038
11 202137
12 201633
13 201927
14 200523
15 201922
16 202017
17 201615
18 202212
19 202011
20 20089

About E. Du

E. Du is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Physiology, Genetics and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 921 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (15 papers), Erythrocyte Function and Pathophysiology (8 papers), Blood properties and coagulation (7 papers), Hemoglobinopathies and Related Disorders (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Electrowetting and Microfluidic Technologies (5 papers), Iron Metabolism and Disorders (4 papers) and Electrostatics and Colloid Interactions (3 papers). The work is most often cited by research in Genetics (115 citations), Biomedical Engineering (499 citations), Hematology (82 citations), Physiology (182 citations) and Biophysics (31 citations). E. Du has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Ming Dao, Subra Suresh, Souran Manoochehri, Monica Diez-Silva, Jia Liu, Andrew V. Oleinikov, Babak Mosavati, Yuhao Qiang, Gregory J. Kato and Oscar Salas‐Solano. Their work appears in journals such as Electrophoresis, Lab on a Chip, Proceedings of the National Academy of Sciences, Interface Focus and Applied Physics Letters.

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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