Qing V. Li

1.7k total citations
9 papers, 1000 citations indexed

About

Qing V. Li is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Qing V. Li has authored 9 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Genetics. Recurrent topics in Qing V. Li's work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (5 papers) and Pancreatic function and diabetes (3 papers). Qing V. Li is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (5 papers) and Pancreatic function and diabetes (3 papers). Qing V. Li collaborates with scholars based in United States, Israel and Spain. Qing V. Li's co-authors include Danwei Huangfu, Federico Gonzãlez, Zeng‐Rong Zhu, Nipun Verma, Zhong‐Dong Shi, Katherine M. Lelli, Kihyun Lee, Chew-Li Soh, Bess P. Rosen and Hyunwoo Cho and has published in prestigious journals such as Nature Communications, Nature Genetics and Cell stem cell.

In The Last Decade

Qing V. Li

9 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing V. Li United States	8	847	282	218	70	61	9	1000
Pınar Akçakaya Sweden	13	676 0.8×	135 0.5×	113 0.5×	59 0.8×	23 0.4×	18	931
Jocelyn Charlton United States	17	936 1.1×	123 0.4×	190 0.9×	47 0.7×	39 0.6×	25	1.1k
Amita Tiyaboonchai United States	9	337 0.4×	91 0.3×	154 0.7×	36 0.5×	15 0.2×	12	461
Ken Zaret United States	8	549 0.6×	282 1.0×	170 0.8×	67 1.0×	26 0.4×	12	787
Yongli Shan China	10	524 0.6×	114 0.4×	69 0.3×	43 0.6×	6 0.1×	27	625
Charis L. Himeda United States	19	894 1.1×	64 0.2×	318 1.5×	45 0.6×	6 0.1×	25	995
David G. Overdier United States	7	670 0.8×	128 0.5×	152 0.7×	62 0.9×	11 0.2×	8	746
Eugine Lee South Korea	16	481 0.6×	91 0.3×	138 0.6×	168 2.4×	12 0.2×	23	798
Shuyi Ji China	7	616 0.7×	259 0.9×	51 0.2×	55 0.8×	9 0.1×	12	814
Luigi Aloia Italy	14	981 1.2×	113 0.4×	168 0.8×	105 1.5×	6 0.1×	17	1.2k

Countries citing papers authored by Qing V. Li

Since Specialization

Citations

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

Fields of papers citing papers by Qing V. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing V. Li. 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 Qing V. Li. The network helps show where Qing V. Li may publish in the future.

Co-authorship network of co-authors of Qing V. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qing V. Li. A scholar is included among the top collaborators of Qing V. Li 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 Qing V. Li. Qing V. Li 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

1.

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

2.

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

3.

Li, Qing V., Bess P. Rosen, & Danwei Huangfu. (2019). Decoding pluripotency: Genetic screens to interrogate the acquisition, maintenance, and exit of pluripotency. WIREs Systems Biology and Medicine. 12(1). e1464–e1464. 7 indexed citations

4.

Lee, Kihyun, Hyunwoo Cho, Qing V. Li, et al.. (2019). FOXA2 Is Required for Enhancer Priming during Pancreatic Differentiation. Cell Reports. 28(2). 382–393.e7. 95 indexed citations

5.

Shi, Zhong‐Dong, Kihyun Lee, Dapeng Yang, et al.. (2017). Genome Editing in hPSCs Reveals GATA6 Haploinsufficiency and a Genetic Interaction with GATA4 in Human Pancreatic Development. Cell stem cell. 20(5). 675–688.e6. 123 indexed citations

6.

Verma, Nipun, Heng Pan, Louis C. Doré, et al.. (2017). TET proteins safeguard bivalent promoters from de novo methylation in human embryonic stem cells. Nature Genetics. 50(1). 83–95. 145 indexed citations

7.

Zhu, Zeng‐Rong, Qing V. Li, Kihyun Lee, et al.. (2016). Genome Editing of Lineage Determinants in Human Pluripotent Stem Cells Reveals Mechanisms of Pancreatic Development and Diabetes. Cell stem cell. 18(6). 755–768. 132 indexed citations

8.

Wang, Qiong, Yilong Zou, Sonja Nowotschin, et al.. (2016). The p53 Family Coordinates Wnt and Nodal Inputs in Mesendodermal Differentiation of Embryonic Stem Cells. Cell stem cell. 20(1). 70–86. 119 indexed citations

9.

Gonzãlez, Federico, Zeng‐Rong Zhu, Zhong‐Dong Shi, et al.. (2014). An iCRISPR Platform for Rapid, Multiplexable, and Inducible Genome Editing in Human Pluripotent Stem Cells. Cell stem cell. 15(2). 215–226. 352 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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