Congcong He

21.3k total citations · 4 hit papers
63 papers, 7.0k citations indexed

About

Congcong He is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Congcong He has authored 63 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Epidemiology, 17 papers in Molecular Biology and 15 papers in Cell Biology. Recurrent topics in Congcong He's work include Autophagy in Disease and Therapy (41 papers), Calcium signaling and nucleotide metabolism (11 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). Congcong He is often cited by papers focused on Autophagy in Disease and Therapy (41 papers), Calcium signaling and nucleotide metabolism (11 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). Congcong He collaborates with scholars based in United States, China and Japan. Congcong He's co-authors include Daniel J. Klionsky, Beth Levine, Yongjie Wei, Altea Rocchi, Zhongju Zou, Rhea Sumpter, Kai Sun, Philipp E. Scherer, Joy Loh and Michael C. Bassik and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Congcong He

62 papers receiving 7.0k citations

Hit Papers

Regulation Mechanisms and Signaling Pathways of Autophagy 2009 2026 2014 2020 2009 2012 2010 2018 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congcong He United States 28 4.6k 3.1k 1.3k 1.2k 639 63 7.0k
Malene Hansen United States 39 3.7k 0.8× 4.7k 1.5× 1.3k 1.0× 1.9k 1.6× 391 0.6× 61 9.8k
Yu‐shin Sou Japan 23 5.1k 1.1× 5.2k 1.7× 1.8k 1.4× 774 0.7× 517 0.8× 28 8.5k
Zhifen Yang China 19 3.9k 0.9× 2.9k 0.9× 1.5k 1.2× 487 0.4× 453 0.7× 46 6.5k
Sophie Pattingre France 23 4.9k 1.1× 3.6k 1.2× 1.5k 1.1× 507 0.4× 747 1.2× 28 7.0k
Guillermo Mariño France 34 5.9k 1.3× 5.2k 1.7× 1.4k 1.1× 1.3k 1.1× 854 1.3× 55 10.3k
Qing Zhong China 48 3.0k 0.7× 5.6k 1.8× 1.6k 1.2× 744 0.6× 366 0.6× 149 9.2k
Alfredo Criollo Chile 45 3.9k 0.9× 4.5k 1.4× 1.4k 1.1× 915 0.8× 506 0.8× 75 8.9k
Maurizio Renna United Kingdom 30 3.5k 0.8× 2.4k 0.8× 1.6k 1.3× 794 0.7× 378 0.6× 55 5.7k
Viktor I. Korolchuk United Kingdom 42 4.4k 1.0× 4.7k 1.5× 2.0k 1.6× 2.2k 1.9× 445 0.7× 84 9.8k
Alfred J. Meijer Netherlands 43 4.1k 0.9× 3.6k 1.2× 1.5k 1.2× 1.4k 1.3× 547 0.9× 96 7.8k

Countries citing papers authored by Congcong He

Since Specialization
Citations

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

Fields of papers citing papers by Congcong He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congcong He

This figure shows the co-authorship network connecting the top 25 collaborators of Congcong He. A scholar is included among the top collaborators of Congcong He 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 Congcong He. Congcong He 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.
Luo, Hua, et al.. (2023). Outcomes of single- vs two-stage primary joint arthroplasty for septic arthritis: a systematic review and meta-analysis. EFORT Open Reviews. 8(9). 672–679. 2 indexed citations
2.
Wu, Ruifan, Yexian Yuan, Shaolei Xiong, et al.. (2023). Genetically prolonged beige fat in male mice confers long-lasting metabolic health. Nature Communications. 14(1). 2731–2731. 15 indexed citations
3.
He, Congcong, et al.. (2023). Integrated single-cell and spatial transcriptomics reveals heterogeneity of fibroblast and pivotal genes in psoriasis. Scientific Reports. 13(1). 17134–17134. 13 indexed citations
4.
An, Zhenyi, Wei‐Chung Chiang, Álvaro F. Fernández, et al.. (2022). Beth Levine’s Legacy: From the Discovery of BECN1 to Therapies. A Mentees’ Perspective. Frontiers in Cell and Developmental Biology. 10. 891332–891332. 2 indexed citations
5.
Kuramoto, Kenta, et al.. (2021). The autophagy protein Becn1 improves insulin sensitivity by promoting adiponectin secretion via exocyst binding. Cell Reports. 35(8). 109184–109184. 24 indexed citations
6.
Kuramoto, Kenta & Congcong He. (2021). The secretory function of BECN1 in metabolic regulation. Autophagy. 17(10). 3262–3263. 6 indexed citations
7.
Kim, Yoon-Jin, Soh Yamamoto, Kenta Kuramoto, et al.. (2021). An autophagy-related protein Becn2 regulates cocaine reward behaviors in the dopaminergic system. Science Advances. 7(8). 11 indexed citations
8.
Fernández, Álvaro F., Salwa Sebti, Yongjie Wei, et al.. (2018). Disruption of the beclin 1–BCL2 autophagy regulatory complex promotes longevity in mice. Nature. 558(7708). 136–140. 492 indexed citations breakdown →
9.
Wang, Sijia, Ying Dong, Nihal Kaplan, et al.. (2018). MicroRNAs-103/107 Regulate Autophagy in the Epidermis. Journal of Investigative Dermatology. 138(7). 1481–1490. 16 indexed citations
10.
Yang, Siwen, Jingmin Yan, Yuhan Meng, et al.. (2018). Alkali-soluble polysaccharides from mushroom fruiting bodies improve insulin resistance. International Journal of Biological Macromolecules. 126. 466–474. 59 indexed citations
11.
Yamamoto, Soh, Kenta Kuramoto, Nan Wang, et al.. (2018). Autophagy Differentially Regulates Insulin Production and Insulin Sensitivity. Cell Reports. 23(11). 3286–3299. 109 indexed citations
12.
Fan, Yuying, Lin Sun, Siwen Yang, et al.. (2017). The roles and mechanisms of homogalacturonan and rhamnogalacturonan I pectins on the inhibition of cell migration. International Journal of Biological Macromolecules. 106. 207–217. 27 indexed citations
13.
Rocchi, Altea, Soh Yamamoto, Tabitha C. Ting, et al.. (2017). A Becn1 mutation mediates hyperactive autophagic sequestration of amyloid oligomers and improved cognition in Alzheimer's disease. PLoS Genetics. 13(8). e1006962–e1006962. 126 indexed citations
14.
Rocchi, Altea & Congcong He. (2017). Regulation of Exercise-Induced Autophagy in Skeletal Muscle. Current Pathobiology Reports. 5(2). 177–186. 43 indexed citations
15.
Ma, Xueling, Feng Zhang, Yuxiang Wang, et al.. (2016). Genistein inhibition of OGD-induced brain neuron death correlates with its modulation of apoptosis, voltage-gated potassium and sodium currents and glutamate signal pathway. Chemico-Biological Interactions. 254. 73–82. 16 indexed citations
16.
He, Congcong, et al.. (2014). Regulation of plasma membrane receptors by a new autophagy-related BECN/Beclin family member. Autophagy. 10(8). 1472–1473. 2 indexed citations
17.
He, Congcong, Misuzu Baba, & Daniel J. Klionsky. (2009). Double duty of Atg9 self-association in autophagosome biogenesis. Autophagy. 5(3). 385–387. 16 indexed citations
18.
He, Congcong, Clinton R. Bartholomew, Weibin Zhou, & Daniel J. Klionsky. (2009). Assaying autophagic activity in transgenic GFP-Lc3 and GFP-Gabarap zebrafish embryos. Autophagy. 5(4). 520–526. 138 indexed citations
19.
He, Congcong & Anthony Orvedahl. (2007). 2007 Keystone Symposium on Autophagy in Health and Disease. Autophagy. 3(5). 526–535. 7 indexed citations
20.
Silverman, Michael, et al.. (2005). Motifs that mediate dendritic targeting in hippocampal neurons: A comparison with basolateral targeting signals. Molecular and Cellular Neuroscience. 29(2). 173–180. 26 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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