Kuan Ren

862 citations
15 papers · 585 · h-index 8

Impact in

Papers in

    • CRISPR and Genetic Engineering 5
    • RNA and protein synthesis mechanisms 3
    • Advanced biosensing and bioanalysis techniques 2
    • Neural Networks and Reservoir Computing 4

Kuan Ren

13 papers receiving 569 citations

Peers

Kuan Ren
Comparison fields: 5 of 57
  • Business and International Management 68
  • Aging 35
  • Molecular Biology 516
  • Insect Science 62
  • Endocrinology 18
Replace Minghui Guo with:
Minghui Guo China
Megan L. Hochstrasser United States
Rimantė Žedaveinytė United States
Hanna Müller-Esparza Germany
Greta Bigelyte Lithuania
Lauren E. Alfonse United States
Balwina Koopal Netherlands
Wen Y. Wu Netherlands
Sae Okazaki Japan
Soumya Kannan United States
Kuan Ren relative to Minghui Guo China Minghui Guo's profile →
Citations per field
00.5×1.5×
Minghui Guo · 1×
Citations per year

Countries citing papers authored by Kuan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Kuan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016324
2 2019108
3 201955
4 201632
5 202316
6 202315
7 202412
8 202411
9 20235
10 20224
11
Study progress on lignanoid in schisandra
20101
12
Study on Polyploid Mutation in Jingzao Jujube with in vitro Shoot-tips
20111
13 20241
14 20250
15 20220

About Kuan Ren

Kuan Ren is a scholar working on Molecular Biology, Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience and Civil and Structural Engineering, having authored 15 papers that have together received 585 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Advanced Memory and Neural Computing (4 papers), Neural Networks and Reservoir Computing (4 papers), Neural dynamics and brain function (3 papers), RNA and protein synthesis mechanisms (3 papers), Geotechnical Engineering and Analysis (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Rock Mechanics and Modeling (2 papers). The work is most often cited by research in Business and International Management (68 citations), Aging (35 citations), Molecular Biology (516 citations), Insect Science (62 citations) and Endocrinology (18 citations). Kuan Ren has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Zhiwei Huang, Xiaoyu Guan, Ningning Li, Ning Gao, Bailing Zhang, Minghui Guo, Yuwei Zhu, Chuang Ma, Jiawei Wang and De Dong. Their work appears in journals such as Cell Research, Nature Structural & Molecular Biology, Applied Sciences, Nature and Advanced Electronic Materials.

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.

Explore authors with similar magnitude of impact