Kuan Ren

835 citations
14 papers · 559 · 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

12 papers receiving 542 citations

Peers

Kuan Ren
Comparison fields: 5 of 56
  • Business and International Management 69
  • Aging 36
  • Molecular Biology 502
  • Insect Science 63
  • Endocrinology 19
Replace Minghui Guo with:
Minghui Guo China
Megan L. Hochstrasser United States
Hanna Müller-Esparza Germany
Rimantė Žedaveinytė United States
Greta Bigelyte Lithuania
Lauren E. Alfonse United States
Balwina Koopal Netherlands
Wen Y. Wu Netherlands
Saifu Pan China
Sae Okazaki Japan
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

14 of 14 papers shown
#Work
1 2016313
2 2019106
3 201954
4 201632
5 202314
6 202314
7 20249
8 20247
9 20234
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 20240
14 20250

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 14 papers that have together received 559 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Neural Networks and Reservoir Computing (4 papers), Advanced Memory and Neural Computing (4 papers), RNA and protein synthesis mechanisms (3 papers), Neural dynamics and brain function (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Rock Mechanics and Modeling (2 papers) and Geotechnical Engineering and Analysis (2 papers). The work is most often cited by research in Business and International Management (69 citations), Aging (36 citations), Molecular Biology (502 citations), Insect Science (63 citations) and Endocrinology (19 citations). Kuan Ren has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Zhiwei Huang, Ningning Li, Xiaoyu Guan, Ning Gao, Minghui Guo, Bailing Zhang, Yuwei Zhu, Shilong Fan, Jianlin Zheng and Jiawei Wang. Their work appears in journals such as Cell Research, Applied Sciences, Geotechnical and Geological Engineering, Advanced Electronic Materials and Nature Structural & Molecular Biology.

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