Songwei He

421 total citations
9 papers, 307 citations indexed

About

Songwei He is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Songwei He has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Developmental Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Songwei He's work include Pluripotent Stem Cells Research (6 papers), Epigenetics and DNA Methylation (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Songwei He is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Epigenetics and DNA Methylation (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Songwei He collaborates with scholars based in China, United States and India. Songwei He's co-authors include Hui Zheng, Hao Sun, Duanqing Pei, Chengqian Feng, Jiekai Chen, Yunqian Guo, Dajiang Qin, Wen Li, Xiaopeng Liu and Jing Qi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Cell Biology and Scientific Reports.

In The Last Decade

Songwei He

9 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Songwei He China	9	249	57	44	41	28	9	307
Naoko Kanno Japan	13	202 0.8×	71 1.2×	23 0.5×	49 1.2×	38 1.4×	23	332
Angélica Horrillo Spain	6	211 0.8×	50 0.9×	28 0.6×	35 0.9×	29 1.0×	7	309
Victoria A. Parsons United States	6	299 1.2×	26 0.5×	59 1.3×	29 0.7×	27 1.0×	9	470
Congzhe Hou China	10	200 0.8×	73 1.3×	27 0.6×	91 2.2×	41 1.5×	18	336
Abha Bais United States	10	306 1.2×	39 0.7×	50 1.1×	73 1.8×	31 1.1×	18	407
Jamie McNicol Canada	6	267 1.1×	35 0.6×	34 0.8×	20 0.5×	19 0.7×	8	314
Elke Maas Germany	9	330 1.3×	30 0.5×	36 0.8×	29 0.7×	18 0.6×	12	393
Scott Haston United Kingdom	10	165 0.7×	38 0.7×	57 1.3×	38 0.9×	28 1.0×	11	330
Soraya Hoelper Germany	5	181 0.7×	65 1.1×	95 2.2×	22 0.5×	27 1.0×	6	329
Cayla A. Thompson United States	9	206 0.8×	68 1.2×	87 2.0×	20 0.5×	82 2.9×	11	306

Countries citing papers authored by Songwei He

Since Specialization

Citations

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

Fields of papers citing papers by Songwei He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songwei He

This figure shows the co-authorship network connecting the top 25 collaborators of Songwei He. A scholar is included among the top collaborators of Songwei 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 Songwei He. Songwei He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

He, Songwei, Fuhui Wang, Yixin Zhang, et al.. (2019). Hemi-methylated CpG sites connect Dnmt1-knockdown-induced and Tet1-induced DNA demethylation during somatic cell reprogramming. Cell Discovery. 5(1). 11–11. 13 indexed citations

He, Songwei, Hao Sun, Lilong Lin, et al.. (2017). Passive DNA demethylation preferentially up-regulates pluripotency-related genes and facilitates the generation of induced pluripotent stem cells. Journal of Biological Chemistry. 292(45). 18542–18555. 29 indexed citations

He, Songwei, Jinlong Chen, Yixin Zhang, et al.. (2017). Sequential EMT-MET induces neuronal conversion through Sox2. Cell Discovery. 3(1). 17017–17017. 19 indexed citations

Chen, Jinlong, Wen Li, Yuan Li, et al.. (2016). MicroRNA-128-3p impaired water maze learning by suppressing Doublecortin expression in both wild type and Aβ-42 infused mice. Neuroscience Letters. 626. 79–85. 9 indexed citations

Sun, Hao, Lining Liang, Yuan Li, et al.. (2016). Lysine-specific histone demethylase 1 inhibition promotes reprogramming by facilitating the expression of exogenous transcriptional factors and metabolic switch. Scientific Reports. 6(1). 30903–30903. 22 indexed citations

Huang, Zhenhua, Lining Liang, Miao Xu, et al.. (2016). Opioid doses required for pain management in lung cancer patients with different cholesterol levels: negative correlation between opioid doses and cholesterol levels. Lipids in Health and Disease. 15(1). 47–47. 11 indexed citations

Hou, Guoqiang, Songwei He, Zhuo Xiao, et al.. (2015). Psora‐4, a Kv1.3 Blocker, Enhances Differentiation and Maturation in Neural Progenitor Cells. CNS Neuroscience & Therapeutics. 21(7). 558–567. 11 indexed citations

Li, Wen, Songwei He, Yuan Li, et al.. (2014). Neurod1 Modulates Opioid Antinociceptive Tolerance via Two Distinct Mechanisms. Biological Psychiatry. 76(10). 775–784. 15 indexed citations

Liu, Xiaopeng, Hao Sun, Jing Qi, et al.. (2013). Sequential introduction of reprogramming factors reveals a time-sensitive requirement for individual factors and a sequential EMT–MET mechanism for optimal reprogramming. Nature Cell Biology. 15(7). 829–838. 178 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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