Ran An

5.3k citations
215 papers · 4.1k · h-index 37

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Nanoplatforms for cancer theranostics
    • Nanopore and Nanochannel Transport Studies

Papers in

    • Hemoglobinopathies and Related Disorders 24
    • Microfluidic and Capillary Electrophoresis Applications 10
    • Nanoplatforms for cancer theranostics 7

Ran An

202 papers receiving 4.1k citations

Peers

Ran An
Comparison fields: 5 of 129
  • Genetics 301
  • Biomedical Engineering 889
  • Electrical and Electronic Engineering 795
  • Materials Chemistry 489
  • Bioengineering 26
Replace Dong Yun Lee with:
Dong Yun Lee South Korea
Jingfeng Liu China
Huilin Shao Singapore
Yanhua Li China
Ang Li China
Lothar D. Lilge Canada
Rachela Popovtzer Israel
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Ran An relative to Dong Yun Lee South Korea Dong Yun Lee's profile →
Citations per field
00.5×2×3×3.8×
Dong Yun Lee · 1×
Citations per year

Countries citing papers authored by Ran An

Since Specialization
Citations

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

Fields of papers citing papers by Ran An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013264
2 2017236
3 2009156
4 2013131
5 201681
6 202277
7 202076
8 201274
9 201971
10 201669
11 201766
12 202062
13 200761
14 202060
15 201859
16 202457
17 202355
18 202054
19 201852
20 202052

About Ran An

Ran An is a scholar working on Genetics, Biomedical Engineering, Neurology, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering, having authored 215 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (24 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers), Luminescence Properties of Advanced Materials (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Blood properties and coagulation (8 papers), Nanoplatforms for cancer theranostics (7 papers), Advanced Memory and Neural Computing (7 papers) and Digital Holography and Microscopy (7 papers). The work is most often cited by research in Genetics (301 citations), Biomedical Engineering (889 citations), Electrical and Electronic Engineering (795 citations), Materials Chemistry (489 citations) and Bioengineering (26 citations). Ran An has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hongjie Zhang, Pengpeng Lei, Erik C. Yusko, Michael Mayer, Umut Atakan Gurkan, Jing Feng, Yuan Liang, Yuncheng Man, Ning Li and Yuefeng Su. Their work appears in journals such as Lab on a Chip, Scientific Reports, Blood, Frontiers in Oncology and PLoS ONE.

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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