Lang Chen

559 total citations
9 papers, 196 citations indexed

About

Lang Chen is a scholar working on Molecular Biology, Pollution and Genetics. According to data from OpenAlex, Lang Chen has authored 9 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pollution and 2 papers in Genetics. Recurrent topics in Lang Chen's work include Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA Research and Splicing (2 papers). Lang Chen is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA Research and Splicing (2 papers). Lang Chen collaborates with scholars based in China, United States and Singapore. Lang Chen's co-authors include Wing Hung Wong, Jingxue Xin, Zhana Duren, Yuqing Zhu, Hongru Pan, Zhen Sun, Yaoxi He, Chaoyu Zhang, Lingjie Li and Caijuan Bai and has published in prestigious journals such as Nature Communications, Journal of Controlled Release and Cell stem cell.

In The Last Decade

Lang Chen

8 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lang Chen China	5	141	37	29	20	19	9	196
Xuemei Yang China	9	104 0.7×	28 0.8×	77 2.7×	31 1.6×	12 0.6×	23	202
Iván Rodríguez-Nunez United States	9	86 0.6×	20 0.5×	14 0.5×	8 0.4×	8 0.4×	14	254
Rebecca F. Lowdon United States	8	232 1.6×	68 1.8×	46 1.6×	24 1.2×	9 0.5×	9	292
Yulia Gonskikh Switzerland	6	139 1.0×	8 0.2×	25 0.9×	8 0.4×	6 0.3×	8	201
Ryan Golden United States	4	170 1.2×	16 0.4×	93 3.2×	11 0.6×	12 0.6×	9	224
Lian Cai South Korea	10	140 1.0×	45 1.2×	9 0.3×	15 0.8×	9 0.5×	43	349
Wim A. Ensink Netherlands	9	187 1.3×	35 0.9×	56 1.9×	25 1.3×	7 0.4×	16	249
Muhammad Khairul Ramlee Singapore	6	213 1.5×	30 0.8×	25 0.9×	24 1.2×	22 1.2×	8	288
Ziwei Sheng United States	7	251 1.8×	47 1.3×	35 1.2×	60 3.0×	15 0.8×	10	285
Sabrina Z. Jan Netherlands	6	227 1.6×	135 3.6×	63 2.2×	31 1.6×	7 0.4×	6	463

Countries citing papers authored by Lang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Lang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Chen, Lang, et al.. (2025). Mitochondrial genome analysis of the endangered Oreocharis esquirolii: insights into evolutionary adaptation and conservation. BMC Plant Biology. 25(1). 827–827. 1 indexed citations

2.

Chen, Lang, et al.. (2025). Liquid-liquid phase separation mediated order and pathological chaos: From cellular organization to precision modulating. Journal of Controlled Release. 390. 114516–114516.

3.

Xu, Xiaolong, et al.. (2024). Remedial effects of tilapia skin peptides against dexamethasone-induced muscle atrophy in mice by modulation of AKT/FOXO3a and Sirt1/PGC-1α signaling pathways. Journal of Functional Foods. 113. 105954–105954. 3 indexed citations

4.

Yu, Hua, Zhen Sun, Hongru Pan, et al.. (2021). rRNA biogenesis regulates mouse 2C-like state by 3D structure reorganization of peri-nucleolar heterochromatin. Nature Communications. 12(1). 6365–6365. 40 indexed citations

5.

Zhu, Yuqing, Chen Cheng, Lang Chen, et al.. (2021). Cell cycle heterogeneity directs spontaneous 2C state entry and exit in mouse embryonic stem cells. Stem Cell Reports. 16(11). 2659–2673. 17 indexed citations

6.

Xin, Jingxue, Hui Zhang, Yaoxi He, et al.. (2020). Chromatin accessibility landscape and regulatory network of high-altitude hypoxia adaptation. Nature Communications. 11(1). 4928–4928. 52 indexed citations

7.

Li, Lingjie, Yong Wang, Gautam Shankar, et al.. (2019). TFAP2C- and p63-Dependent Networks Sequentially Rearrange Chromatin Landscapes to Drive Human Epidermal Lineage Commitment. Cell stem cell. 24(2). 271–284.e8. 63 indexed citations

8.

Chen, Lang, Yufang Song, Xueying Song, et al.. (2015). Aquatic risk assessment of a novel strobilurin fungicide: A microcosm study compared with the species sensitivity distribution approach. Ecotoxicology and Environmental Safety. 120. 418–427. 19 indexed citations

9.

Yin, Yongchao, et al.. (2013). Cd Accumulation and Quality Characteristics of Chinese Cabbage Growth in Cd-Contaminated Soil. Advanced materials research. 726-731. 273–276. 1 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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