Jielin Yan

562 total citations
10 papers, 324 citations indexed

About

Jielin Yan is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Jielin Yan has authored 10 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Jielin Yan's work include CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers) and Mitochondrial Function and Pathology (2 papers). Jielin Yan is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers) and Mitochondrial Function and Pathology (2 papers). Jielin Yan collaborates with scholars based in United States and China. Jielin Yan's co-authors include Marcelo G. Bonini, Sydney M. Sanderson, Daniel C. Rabe, Payal Tiwari, Peter C. Hart, Ali E. Yesilkanal, Juan Liu, Felicia Rustandy, Mohamad Elbaz and Jason W. Locasale and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Jielin Yan

9 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jielin Yan United States	6	238	94	42	37	32	10	324
Yudan Xie China	8	188 0.8×	102 1.1×	22 0.5×	41 1.1×	16 0.5×	12	298
Songtao Cheng China	9	172 0.7×	124 1.3×	68 1.6×	34 0.9×	23 0.7×	16	300
Zijie Mei China	10	216 0.9×	91 1.0×	54 1.3×	65 1.8×	31 1.0×	27	355
Zhen Cai China	5	208 0.9×	146 1.6×	33 0.8×	55 1.5×	18 0.6×	9	285
Kyung‐Min Yang South Korea	12	284 1.2×	68 0.7×	47 1.1×	66 1.8×	24 0.8×	22	413
Ayumi Ando Japan	8	218 0.9×	112 1.2×	29 0.7×	23 0.6×	14 0.4×	11	306
Leiming Wang China	11	274 1.2×	120 1.3×	57 1.4×	61 1.6×	19 0.6×	14	372
Tao Ji China	13	252 1.1×	164 1.7×	29 0.7×	69 1.9×	56 1.8×	32	414
Danbi Seo South Korea	4	178 0.7×	123 1.3×	67 1.6×	56 1.5×	47 1.5×	6	328
Yasser Abuetabh Canada	10	240 1.0×	82 0.9×	34 0.8×	133 3.6×	33 1.0×	18	379

Countries citing papers authored by Jielin Yan

Since Specialization

Citations

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

Fields of papers citing papers by Jielin Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jielin Yan

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

All Works

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10 of 10 papers shown

1.

Yan, Jielin, Renhe Luo, Bess P. Rosen, et al.. (2025). Discovery of NANOG enhancers and their essential roles in self-renewal and differentiation in human embryonic stem cells. Stem Cell Reports. 20(6). 102511–102511.

2.

Liu, Lihua, et al.. (2024). Multi-omics insight into the metabolic and cellular characteristics in the pathogenesis of hypothyroidism. Communications Biology. 7(1). 990–990. 5 indexed citations

3.

Rosen, Bess P., Qing V. Li, Hyunwoo Cho, et al.. (2024). Parallel genome-scale CRISPR-Cas9 screens uncouple human pluripotent stem cell identity versus fitness. Nature Communications. 15(1). 8966–8966. 4 indexed citations

4.

Jackson, Benjamin T., Vidur Garg, Katrina I. Paras, et al.. (2024). Amino acid intake strategies define pluripotent cell states. Nature Metabolism. 6(1). 127–140. 7 indexed citations

5.

Kaplan, Samuel J., Jielin Yan, Julián Pulecio, et al.. (2024). CRISPR screening uncovers a long-range enhancer for ONECUT1 in pancreatic differentiation and links a diabetes risk variant. Cell Reports. 43(8). 114640–114640. 3 indexed citations

6.

Caspi, Inbal, Daniel M. Tremmel, Julián Pulecio, et al.. (2024). Glucose Transporters Are Key Components of the Human Glucostat. Diabetes. 73(8). 1336–1351. 6 indexed citations

7.

Luo, Renhe, Jielin Yan, Xi Wang, et al.. (2023). Dynamic network-guided CRISPRi screen identifies CTCF-loop-constrained nonlinear enhancer gene regulatory activity during cell state transitions. Nature Genetics. 55(8). 1336–1346. 23 indexed citations

8.

Zhou, Yan, Keying Zhang, Jielin Yan, et al.. (2023). Exogenous glutathione maintains the postharvest quality of mango fruit by modulating the ascorbate-glutathione cycle. PeerJ. 11. e15902–e15902. 12 indexed citations

9.

Yan, Jielin & Danwei Huangfu. (2021). Epigenome rewiring in human pluripotent stem cells. Trends in Cell Biology. 32(3). 259–271. 4 indexed citations

10.

Lee, Ji‐Young, Ali E. Yesilkanal, Joseph Wynne, et al.. (2019). Effective breast cancer combination therapy targeting BACH1 and mitochondrial metabolism. Nature. 568(7751). 254–258. 260 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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