Lin Ren
Impact in
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
- Bioengineering top 5%
- Analytical Chemistry and Sensors
Papers in
-
- Lipid Membrane Structure and Behavior 12
- Ion channel regulation and function 4
- Cell Biology 10
- Cellular transport and secretion 8
- Co-authors
- Andrew G. Ewing (15 shared papers)Johan Dunevall (5 shared papers)Xianchan Li (5 shared papers)Per Malmberg (6 shared papers)Michael E. Kurczy (2 shared papers)Wanying Zhu (2 shared papers)Soodabeh Majdi (3 shared papers)Chaoyi Gu (2 shared papers)
- Journals
- Angewandte Chemie International Edition (3 papers)Analytical Chemistry (2 papers)ACS Nano (2 papers)Frontiers in Oncology (2 papers)Pharmacology (1 paper)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Lin Ren
40 papers receiving 992 citations
Peers
Comparison fields: 5 of 98
- Electrochemistry 188
- Bioengineering 60
- Cell Biology 155
- Cellular and Molecular Neuroscience 169
- Cancer Research 131
Countries citing papers authored by Lin Ren
This map shows the geographic impact of Lin Ren'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 Lin Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ren more than expected).
Fields of papers citing papers by Lin Ren
This network shows the impact of papers produced by Lin Ren. 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 Lin Ren. The network helps show where Lin Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Ren, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2016 | 85 | |
| 3 | 2017 | 74 | |
| 4 | 2019 | 72 | |
| 5 | 2018 | 61 | |
| 6 | Multifaceted regulation and functions of replication factor C family in human cancers. | 2018 | 54 |
| 7 | 2018 | 46 | |
| 8 | 2017 | 46 | |
| 9 | 2023 | 43 | |
| 10 | 2018 | 37 | |
| 11 | 2020 | 34 | |
| 12 | 2013 | 32 | |
| 13 | 2020 | 31 | |
| 14 | 2015 | 31 | |
| 15 | 2019 | 28 | |
| 16 | 2012 | 27 | |
| 17 | 2020 | 23 | |
| 18 | 2017 | 23 | |
| 19 | 2020 | 19 | |
| 20 | 2020 | 18 |
About Lin Ren
Lin Ren is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 994 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (12 papers), Cellular transport and secretion (8 papers), Ion channel regulation and function (4 papers), HER2/EGFR in Cancer Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), MicroRNA in disease regulation (3 papers), Breast Cancer Treatment Studies (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Electrochemistry (188 citations), Bioengineering (60 citations), Cell Biology (155 citations), Cellular and Molecular Neuroscience (169 citations) and Cancer Research (131 citations). Lin Ren has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Andrew G. Ewing, Johan Dunevall, Xianchan Li, Per Malmberg, Michael E. Kurczy, Wanying Zhu, Soodabeh Majdi, Chaoyi Gu, Xuemin Zhou and Xiaowei Qi. Their work appears in journals such as Angewandte Chemie International Edition, Analytical Chemistry, ACS Nano, Frontiers in Oncology and Pharmacology.
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.