Lijiang Fei

5.0k total citations
11 papers, 558 citations indexed

About

Lijiang Fei is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Lijiang Fei has authored 11 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Lijiang Fei's work include Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (4 papers) and Pluripotent Stem Cells Research (3 papers). Lijiang Fei is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (4 papers) and Pluripotent Stem Cells Research (3 papers). Lijiang Fei collaborates with scholars based in China, United States and India. Lijiang Fei's co-authors include Guoji Guo, Guo‐Cheng Yuan, Shengbao Suo, Qian Zhu, Assieh Saadatpour, Haide Chen, Xiaoping Han, Huiyu Sun, He Huang and Daosheng Huang and has published in prestigious journals such as Nature Communications, Nature Genetics and Immunity.

In The Last Decade

Lijiang Fei

11 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lijiang Fei China	8	375	146	96	80	62	11	558
Haide Chen China	14	650 1.7×	191 1.3×	117 1.2×	131 1.6×	86 1.4×	30	862
Damian Wollny Germany	9	378 1.0×	71 0.5×	89 0.9×	87 1.1×	51 0.8×	14	568
Odile Weber Germany	5	357 1.0×	206 1.4×	58 0.6×	30 0.4×	61 1.0×	6	671
Tingsheng Yu Singapore	10	472 1.3×	91 0.6×	68 0.7×	94 1.2×	56 0.9×	15	632
Nanae Izumi Japan	10	615 1.6×	67 0.5×	115 1.2×	69 0.9×	51 0.8×	21	959
Guizhong Cui China	12	608 1.6×	56 0.4×	34 0.4×	91 1.1×	34 0.5×	31	744
Leena Bhaw United Kingdom	8	313 0.8×	112 0.8×	90 0.9×	65 0.8×	84 1.4×	9	575
Hao Jin China	15	516 1.4×	368 2.5×	57 0.6×	62 0.8×	55 0.9×	24	958
Noa Sher Israel	8	907 2.4×	141 1.0×	97 1.0×	262 3.3×	64 1.0×	11	1.1k
Sadanori Watanabe Japan	14	493 1.3×	38 0.3×	106 1.1×	43 0.5×	46 0.7×	15	803

Countries citing papers authored by Lijiang Fei

Since Specialization

Citations

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

Fields of papers citing papers by Lijiang Fei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijiang Fei

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

All Works

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11 of 11 papers shown

Fei, Lijiang, Jingjing Wang, Xinru Wang, et al.. (2025). Dynamics of Cell Fate Decisions during Chemically Induced Multi‐Lineage Trans‐Differentiation at Single‐Cell Level. Advanced Science. 12(17). e2409642–e2409642. 1 indexed citations

Ye, Fang, Hui Li, Chengxuan Yu, et al.. (2023). Dissecting the immune discrepancies in mouse liver allograft tolerance and heart/kidney allograft rejection. Cell Proliferation. 57(3). e13555–e13555. 5 indexed citations

Kim, Ji‐Eun, Bo Li, Lijiang Fei, et al.. (2022). Gut microbiota promotes stem cell differentiation through macrophage and mesenchymal niches in early postnatal development. Immunity. 55(12). 2300–2317.e6. 50 indexed citations

Fang, Xing, Mengmeng Jiang, Mingyong Zhou, et al.. (2022). Elucidating the developmental dynamics of mouse stromal cells at single-cell level. PubMed. 1(1). 45–48. 6 indexed citations

Fei, Lijiang, Haide Chen, Lifeng Ma, et al.. (2022). Systematic identification of cell-fate regulatory programs using a single-cell atlas of mouse development. Nature Genetics. 54(7). 1051–1061. 55 indexed citations

Wang, Jingjing, Huiyu Sun, Mengmeng Jiang, et al.. (2021). Tracing cell-type evolution by cross-species comparison of cell atlases. Cell Reports. 34(9). 108803–108803. 53 indexed citations

Kim, Ji‐Eun, Lijiang Fei, Sabrina Coquenlorge, et al.. (2020). Single cell and genetic analyses reveal conserved populations and signaling mechanisms of gastrointestinal stromal niches. Nature Communications. 11(1). 80 indexed citations

Sun, Huiyu, Yincong Zhou, Lijiang Fei, Haide Chen, & Guoji Guo. (2019). scMCA: A Tool to Define Mouse Cell Types Based on Single-Cell Digital Expression. Methods in molecular biology. 1935. 91–96. 23 indexed citations

Han, Xiaoping, Haide Chen, Daosheng Huang, et al.. (2018). Mapping human pluripotent stem cell differentiation pathways using high throughput single-cell RNA-sequencing. Genome biology. 19(1). 47–47. 76 indexed citations

10.

Suo, Shengbao, Qian Zhu, Assieh Saadatpour, et al.. (2018). Revealing the Critical Regulators of Cell Identity in the Mouse Cell Atlas. Cell Reports. 25(6). 1436–1445.e3. 197 indexed citations

11.

Jiang, Mengmeng, Haide Chen, Shujing Lai, et al.. (2018). Maintenance of human haematopoietic stem and progenitor cells in vitro using a chemical cocktail. Cell Discovery. 4(1). 59–59. 12 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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