Kun Yi

1.4k total citations
32 papers, 1.0k citations indexed

About

Kun Yi is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Kun Yi has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Plant Science. Recurrent topics in Kun Yi's work include Estrogen and related hormone effects (10 papers), Seed Germination and Physiology (4 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Kun Yi is often cited by papers focused on Estrogen and related hormone effects (10 papers), Seed Germination and Physiology (4 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Kun Yi collaborates with scholars based in United States, China and United Kingdom. Kun Yi's co-authors include James W. Simpkins, Shao‐Hua Yang, James A. Dykens, Evelyn Perez, Douglas F. Covey, Ran Liu, Peter Koulen, Wen Yi, Saumyendra N. Sarkar and Glenn H. Dillon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Kun Yi

31 papers receiving 995 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kun Yi United States 18 317 277 230 134 134 32 1.0k
Agnieszka Wnuk Poland 20 162 0.5× 385 1.4× 89 0.4× 116 0.9× 293 2.2× 40 1.0k
Joanna Rzemieniec Poland 18 167 0.5× 298 1.1× 83 0.4× 95 0.7× 196 1.5× 30 805
Takeshi Yamazaki Japan 19 173 0.5× 427 1.5× 223 1.0× 165 1.2× 64 0.5× 44 961
Ashley S. Murr United States 14 116 0.4× 137 0.5× 167 0.7× 79 0.6× 372 2.8× 27 1.1k
Noriaki Shimokawa Japan 24 225 0.7× 885 3.2× 158 0.7× 208 1.6× 232 1.7× 78 1.8k
Regina Pessoa‐Pureur Brazil 24 84 0.3× 794 2.9× 207 0.9× 315 2.4× 168 1.3× 86 1.8k
Stephan Steckelbroeck Germany 25 461 1.5× 504 1.8× 828 3.6× 148 1.1× 104 0.8× 31 1.9k
In Kyeom Kim South Korea 20 95 0.3× 626 2.3× 128 0.6× 101 0.8× 120 0.9× 54 1.3k
Απόστολος Ζάρρος Greece 17 78 0.2× 211 0.8× 175 0.8× 163 1.2× 204 1.5× 58 910
Paula Pierozan Brazil 23 71 0.2× 433 1.6× 85 0.4× 177 1.3× 379 2.8× 59 1.6k

Countries citing papers authored by Kun Yi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yi. A scholar is included among the top collaborators of Kun Yi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kun Yi. Kun Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yi, Kun, Lin Gao, Xu Yue, et al.. (2025). Lipid remodeling and response mechanisms during the germination of aged oat seeds. BMC Plant Biology. 25(1). 186–186. 1 indexed citations
2.
Yi, Kun, et al.. (2024). Rapid prediction and visualization of safe moisture content in alfalfa seeds based on multispectral imaging technology. Industrial Crops and Products. 222. 119448–119448. 4 indexed citations
3.
Yi, Kun, Yiwei Jiang, Hong Liu, et al.. (2023). Germination of aged oat seeds associated with changes in antioxidant enzyme activity and storage compounds mobilization. Physiologia Plantarum. 175(5). e14020–e14020. 7 indexed citations
4.
Zhang, Shuheng, et al.. (2022). Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology. Sensors. 22(7). 2760–2760. 16 indexed citations
5.
Yin, Xiujie, Kun Yi, Yihang Zhao, et al.. (2021). Comprehensive evaluation of candidate reference genes for quantitative real-time PCR-based analysis in Caucasian clover. Scientific Reports. 11(1). 3269–3269. 12 indexed citations
6.
Meng, Lingdong, Xiaomeng Zhang, Lina Wang, et al.. (2021). Transcriptome profiling unveils the mechanism of phenylpropane biosynthesis in rhizome development of Caucasian clover. PLoS ONE. 16(7). e0254669–e0254669. 12 indexed citations
7.
Yin, Xiujie, Kun Yi, Yihang Zhao, et al.. (2020). Revealing the full-length transcriptome of caucasian clover rhizome development. BMC Plant Biology. 20(1). 429–429. 14 indexed citations
8.
Marty, Sue, Christopher J. Borgert, Katie Coady, et al.. (2018). Distinguishing between endocrine disruption and non-specific effects on endocrine systems. Regulatory Toxicology and Pharmacology. 99. 142–158. 55 indexed citations
9.
Foradori, Chad D., Arthur D. Zimmerman, Robert J. Kemppainen, et al.. (2018). Characterization of Activation of the Hypothalamic-Pituitary-Adrenal Axis by the Herbicide Atrazine in the Female Rat. Endocrinology. 159(9). 3378–3388. 16 indexed citations
10.
Borgert, Christopher J., Richard A. Becker, Betsy D. Carlton, et al.. (2016). Does GLP enhance the quality of toxicological evidence for regulatory decisions?: TABLE 1.. Toxicological Sciences. 151(2). 206–213. 15 indexed citations
11.
Campbell, Jerry L., Melvin E. Andersen, Paul M. Hinderliter, et al.. (2016). PBPK Model for Atrazine and Its Chlorotriazine Metabolites in Rat and Human. Toxicological Sciences. 150(2). 441–453. 25 indexed citations
12.
Simpkins, James W., Timothy E. Richardson, Kun Yi, Evelyn Perez, & Douglas F. Covey. (2012). Neuroprotection with non-feminizing estrogen analogues: An overlooked possible therapeutic strategy. Hormones and Behavior. 63(2). 278–283. 11 indexed citations
13.
Yi, Kun, Evelyn Perez, Shao‐Hua Yang, et al.. (2010). The assessment of non-feminizing estrogens for use in neuroprotection. Brain Research. 1379. 61–70. 26 indexed citations
14.
Simpkins, James W., Kun Yi, & Shao‐Hua Yang. (2009). Role of protein phosphatases and mitochondria in the neuroprotective effects of estrogens. Frontiers in Neuroendocrinology. 30(2). 93–105. 40 indexed citations
15.
Simpkins, James W., Kun Yi, Shao‐Hua Yang, & James A. Dykens. (2009). Mitochondrial mechanisms of estrogen neuroprotection. Biochimica et Biophysica Acta (BBA) - General Subjects. 1800(10). 1113–1120. 154 indexed citations
16.
Sarkar, Saumyendra N., et al.. (2008). Estrogens directly potentiate neuronal L-type Ca 2+ channels. Proceedings of the National Academy of Sciences. 105(39). 15148–15153. 90 indexed citations
17.
Yi, Kun & James W. Simpkins. (2008). Protein Phosphatase 1, Protein Phosphatase 2A, and Calcineurin Play a Role in Estrogen-Mediated Neuroprotection. Endocrinology. 149(10). 5235–5243. 24 indexed citations
18.
Yi, Kun, Zu Yun Cai, Douglas F. Covey, & James W. Simpkins. (2007). Estrogen Receptor-Independent Neuroprotection via Protein Phosphatase Preservation and Attenuation of Persistent Extracellular Signal-Regulated Kinase 1/2 Activation. Journal of Pharmacology and Experimental Therapeutics. 324(3). 1188–1195. 33 indexed citations
19.
Yi, Kun, et al.. (2005). Role of Protein Phosphatases in Estrogen-Mediated Neuroprotection. Journal of Neuroscience. 25(31). 7191–7198. 36 indexed citations
20.
Yi, Wen, Shao‐Hua Yang, Ran Liu, et al.. (2004). Estrogen attenuates nuclear factor-kappa B activation induced by transient cerebral ischemia. Brain Research. 1008(2). 147–154. 130 indexed citations

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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