Ran An
Impact in
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
- Biomedical Engineering top 2%
- Nanoplatforms for cancer theranostics
- Nanopore and Nanochannel Transport Studies
Papers in
-
- Microfluidic and Capillary Electrophoresis Applications 9
- Nanoplatforms for cancer theranostics 9
-
- Advanced Memory and Neural Computing 8
- Perovskite Materials and Applications 8
- Co-authors
- Hongjie Zhang (19 shared papers)Pengpeng Lei (16 shared papers)Erik C. Yusko (3 shared papers)Michael Mayer (3 shared papers)Umut A. Gürkan (36 shared papers)Yuncheng Man (30 shared papers)Jing Feng (7 shared papers)Ning Li (7 shared papers)
- Journals
- Blood (10 papers)Lab on a Chip (5 papers)Scientific Reports (5 papers)Frontiers in Oncology (4 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ran An
203 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 160
- Genetics 318
- Biomedical Engineering 1.0k
- Electronic, Optical and Magnetic Materials 316
- Electrical and Electronic Engineering 964
- Materials Chemistry 750
Countries citing papers authored by Ran An
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
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.
All Works
Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 260 | |
| 2 | 2017 | 230 | |
| 3 | 2009 | 151 | |
| 4 | 2013 | 127 | |
| 5 | 2016 | 80 | |
| 6 | 2012 | 72 | |
| 7 | 2020 | 71 | |
| 8 | 2019 | 70 | |
| 9 | 2022 | 69 | |
| 10 | 2016 | 66 | |
| 11 | 2017 | 65 | |
| 12 | 2020 | 57 | |
| 13 | 2007 | 55 | |
| 14 | 2018 | 53 | |
| 15 | 2018 | 51 | |
| 16 | 2020 | 49 | |
| 17 | 2023 | 48 | |
| 18 | 2020 | 47 | |
| 19 | 2020 | 47 | |
| 20 | 2018 | 46 |
About Ran An
Ran An is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Genetics, Materials Chemistry and Physiology, having authored 220 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (25 papers), Erythrocyte Function and Pathophysiology (17 papers), Luminescence Properties of Advanced Materials (10 papers), Microfluidic and Capillary Electrophoresis Applications (9 papers), Luminescence and Fluorescent Materials (9 papers), Nanoplatforms for cancer theranostics (9 papers), Advanced Memory and Neural Computing (8 papers) and Perovskite Materials and Applications (8 papers). The work is most often cited by research in Genetics (318 citations), Biomedical Engineering (1.0k citations), Electronic, Optical and Magnetic Materials (316 citations), Electrical and Electronic Engineering (964 citations) and Materials Chemistry (750 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 A. Gürkan, Yuncheng Man, Jing Feng, Ning Li, Yuan Liang and Yuefeng Su. Their work appears in journals such as Blood, Lab on a Chip, Scientific Reports, 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.