I‐Ju Lee

991 total citations
20 papers, 717 citations indexed

About

I‐Ju Lee is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, I‐Ju Lee has authored 20 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cell Biology, 13 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in I‐Ju Lee's work include Microtubule and mitosis dynamics (8 papers), Fungal and yeast genetics research (7 papers) and Cellular transport and secretion (5 papers). I‐Ju Lee is often cited by papers focused on Microtubule and mitosis dynamics (8 papers), Fungal and yeast genetics research (7 papers) and Cellular transport and secretion (5 papers). I‐Ju Lee collaborates with scholars based in United States, Taiwan and United Kingdom. I‐Ju Lee's co-authors include Jian‐Qiu Wu, Valerie C. Coffman, Damien Laporte, Huayang Liu, Aaron H. Nile, Ning Wang, Yajun Liu, Zhucheng Chen, Jiawei Wang and Lingfei Sun and has published in prestigious journals such as The Journal of Cell Biology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

I‐Ju Lee

20 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I‐Ju Lee United States 13 516 497 88 78 76 20 717
Nathan A. McDonald United States 12 394 0.8× 300 0.6× 66 0.8× 30 0.4× 27 0.4× 18 486
Kelvin Wong Singapore 7 644 1.2× 489 1.0× 156 1.8× 119 1.5× 15 0.2× 12 695
Theresa C. Swayne United States 16 883 1.7× 201 0.4× 188 2.1× 38 0.5× 32 0.4× 31 1.1k
Nagendran Ramalingam United States 14 203 0.4× 297 0.6× 116 1.3× 35 0.4× 23 0.3× 27 593
Hala Fahs United States 9 320 0.6× 332 0.7× 50 0.6× 36 0.5× 8 0.1× 17 639
Paul T. Arsenovic United States 11 243 0.5× 275 0.6× 38 0.4× 25 0.3× 9 0.1× 13 438
Diana Pinheiro Austria 9 294 0.6× 353 0.7× 34 0.4× 5 0.1× 19 0.3× 14 534
Miklós Képiró Hungary 6 166 0.3× 86 0.2× 35 0.4× 73 0.9× 23 0.3× 10 288
Marco Antonio Garrido Salazar United States 5 328 0.6× 350 0.7× 51 0.6× 48 0.6× 8 0.1× 11 521
Joana Capote United States 11 420 0.8× 52 0.1× 175 2.0× 104 1.3× 16 0.2× 16 562

Countries citing papers authored by I‐Ju Lee

Since Specialization
Citations

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

Fields of papers citing papers by I‐Ju Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Ju Lee. 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 I‐Ju Lee. The network helps show where I‐Ju Lee may publish in the future.

Co-authorship network of co-authors of I‐Ju Lee

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Ju Lee. A scholar is included among the top collaborators of I‐Ju Lee 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 I‐Ju Lee. I‐Ju Lee 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.
Wang, Lianguo, Rachel C. Myles, I‐Ju Lee, Donald M. Bers, & Crystal M. Ripplinger. (2021). Role of Reduced Sarco-Endoplasmic Reticulum Ca2+-ATPase Function on Sarcoplasmic Reticulum Ca2+ Alternans in the Intact Rabbit Heart. Frontiers in Physiology. 12. 656516–656516. 22 indexed citations
2.
Hu, Ching‐Yao, Wen‐Hui Kuan, I‐Ju Lee, & Yu‐Jung Liu. (2021). pH-Dependent mechanisms and kinetics of the removal of acetaminophen by manganese dioxide. Journal of environmental chemical engineering. 9(2). 105129–105129. 9 indexed citations
3.
Lee, I‐Ju, et al.. (2020). Light triggering goldsomes enable local NO-generation and alleviate pathological vasoconstriction. Nanomedicine Nanotechnology Biology and Medicine. 30. 102282–102282. 3 indexed citations
4.
Lee, I‐Ju, et al.. (2020). Factors promoting nuclear envelope assembly independent of the canonical ESCRT pathway. The Journal of Cell Biology. 219(6). 27 indexed citations
5.
Lee, I‐Ju, Yaqi Yang, Wei‐Tien Chang, & Ian Liau. (2018). Abstract 123: Establishing a Zebrafish Model of Ischemic Stroke Induced by Photochemical Thrombosis: a Novel Platform for Translational Researches. Arteriosclerosis Thrombosis and Vascular Biology. 38(Suppl_1). 1 indexed citations
6.
Wang, Ning, et al.. (2016). Roles of the TRAPP-II Complex and the Exocyst in Membrane Deposition during Fission Yeast Cytokinesis. PLoS Biology. 14(4). e1002437–e1002437. 49 indexed citations
7.
Liu, Yajun, I‐Ju Lee, Mingzhai Sun, et al.. (2016). Roles of the novel coiled-coil protein Rng10 in septum formation during fission yeast cytokinesis. Molecular Biology of the Cell. 27(16). 2528–2541. 8 indexed citations
8.
Lee, I‐Ju, et al.. (2016). Confocal Imaging Guided Photochemical Thrombosis Toward the Development of a Novel Zebrafish Model of Stroke. 118. AS3I.3–AS3I.3. 1 indexed citations
9.
Lee, I‐Ju, et al.. (2016). Zebrafish model of photochemical thrombosis for translational research and thrombolytic screening in vivo. Journal of Biophotonics. 10(4). 494–502. 13 indexed citations
10.
11.
Vavylonis, Dimitrios, Feng‐Ching Tsai, Gijsje H. Koenderink, et al.. (2015). SOAX: A software for quantification of 3D biopolymer networks. Scientific Reports. 5(1). 9081–9081. 71 indexed citations
12.
Sun, Lingfei, R. Guan, I‐Ju Lee, et al.. (2015). Mechanistic Insights into the Anchorage of the Contractile Ring by Anillin and Mid1. Developmental Cell. 33(4). 413–426. 93 indexed citations
13.
Lee, I‐Ju, Ning Wang, Wen Hu, et al.. (2014). Regulation of spindle pole body assembly and cytokinesis by the centrin-binding protein Sfi1 in fission yeast. Molecular Biology of the Cell. 25(18). 2735–2749. 29 indexed citations
14.
Coffman, Valerie C., I‐Ju Lee, & Jian‐Qiu Wu. (2014). Counting Molecules Within Cells. 1(1). 1–74. 1 indexed citations
15.
Lee, I‐Ju & Jian‐Qiu Wu. (2012). Characterization of Mid1 domains for targeting and scaffolding in fission yeast cytokinesis. Journal of Cell Science. 125(Pt 12). 2973–85. 33 indexed citations
16.
Ye, Yanfang, I‐Ju Lee, Kurt W. Runge, & Jian‐Qiu Wu. (2012). Roles of putative Rho-GEF Gef2 in division-site positioning and contractile-ring function in fission yeast cytokinesis. Molecular Biology of the Cell. 23(7). 1181–1195. 38 indexed citations
17.
Lee, I‐Ju, Valerie C. Coffman, & Jian‐Qiu Wu. (2012). Contractile‐ring assembly in fission yeast cytokinesis: Recent advances and new perspectives. Cytoskeleton. 69(10). 751–763. 57 indexed citations
18.
Laporte, Damien, Valerie C. Coffman, I‐Ju Lee, & Jian‐Qiu Wu. (2011). Assembly and architecture of precursor nodes during fission yeast cytokinesis. The Journal of Cell Biology. 192(6). 1005–1021. 149 indexed citations
19.
Lee, I‐Ju, et al.. (2010). Caenorhabditis elegans TLK-1 controls cytokinesis by localizing AIR-2/Aurora B to midzone microtubules. Biochemical and Biophysical Research Communications. 400(2). 187–193. 3 indexed citations
20.
Coffman, Valerie C., Aaron H. Nile, I‐Ju Lee, Huayang Liu, & Jian‐Qiu Wu. (2009). Roles of Formin Nodes and Myosin Motor Activity in Mid1p-dependent Contractile-Ring Assembly during Fission Yeast Cytokinesis. Molecular Biology of the Cell. 20(24). 5195–5210. 86 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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