Yingxin Lin

2.5k total citations
46 papers, 1.3k citations indexed

About

Yingxin Lin is a scholar working on Molecular Biology, Biophysics and Transplantation. According to data from OpenAlex, Yingxin Lin has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Biophysics and 6 papers in Transplantation. Recurrent topics in Yingxin Lin's work include Single-cell and spatial transcriptomics (22 papers), Cell Image Analysis Techniques (10 papers) and Gene Regulatory Network Analysis (8 papers). Yingxin Lin is often cited by papers focused on Single-cell and spatial transcriptomics (22 papers), Cell Image Analysis Techniques (10 papers) and Gene Regulatory Network Analysis (8 papers). Yingxin Lin collaborates with scholars based in Australia, China and United States. Yingxin Lin's co-authors include Christopher Ton, Jean Yang, Pengyi Yang, Catherine Willett, Nicole M. Roy, Chuenlei Parng, Patricia McGrath, Pei C. Chiu, Mingxin Guo and Paul T. Imhoff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yingxin Lin

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingxin Lin Australia	16	745	205	164	163	136	46	1.3k
Kim Schneider United Kingdom	12	1.1k 1.5×	343 1.7×	61 0.4×	65 0.4×	16 0.1×	18	1.8k
Ronghui Li China	24	1.0k 1.3×	89 0.4×	231 1.4×	14 0.1×	58 0.4×	94	2.0k
Kathryn Spencer United States	6	915 1.2×	407 2.0×	125 0.8×	58 0.4×	10 0.1×	9	2.1k
Lin Guo China	16	1.2k 1.6×	122 0.6×	72 0.4×	7 0.0×	59 0.4×	64	1.6k
Yuejin Zhang China	18	515 0.7×	372 1.8×	74 0.5×	15 0.1×	50 0.4×	69	1.4k
Atsushi Kitayama Japan	22	709 1.0×	116 0.6×	83 0.5×	84 0.5×	283 2.1×	44	1.2k
Zhigang Yao China	24	665 0.9×	78 0.4×	183 1.1×	15 0.1×	41 0.3×	107	1.7k
Guilherme Oliveira Barbosa Brazil	12	182 0.2×	63 0.3×	37 0.2×	17 0.1×	22 0.2×	25	838
Tanja Kögel Norway	19	338 0.5×	258 1.3×	55 0.3×	39 0.2×	172 1.3×	39	1.4k
Patrick Motté Belgium	28	1.8k 2.5×	122 0.6×	78 0.5×	9 0.1×	61 0.4×	70	3.4k

Countries citing papers authored by Yingxin Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yingxin Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxin Lin. A scholar is included among the top collaborators of Yingxin Lin 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 Yingxin Lin. Yingxin Lin 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:

20 of 20 papers shown

Cao, Yue, Lijia Yu, Sanghyun Kim, et al.. (2025). The current landscape and emerging challenges of benchmarking single-cell methods. Briefings in Bioinformatics. 26(5).

Yu, Lijia, et al.. (2025). Interpretable Differential Abundance Signature (iDAS). Small Methods. 10(2). e2500572–e2500572.

Lin, Yutao, et al.. (2024). Pt loaded CoFe2O4-based nanoparticles for breast cancer treatment with chemodynamic therapy and sonodynamic therapy. Ceramics International. 51(1). 685–692. 3 indexed citations

Li, Haoyang, Yingxin Lin, Wenjia He, et al.. (2024). SANTO: a coarse-to-fine alignment and stitching method for spatial omics. Nature Communications. 15(1). 6048–6048. 6 indexed citations

Lim, Su Yin, Yingxin Lin, Jenny Lee, et al.. (2024). Single-cell RNA sequencing reveals melanoma cell state-dependent heterogeneity of response to MAPK inhibitors. EBioMedicine. 107. 105308–105308. 1 indexed citations

Kim, Daniel, et al.. (2023). Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data. npj Systems Biology and Applications. 9(1). 51–51. 33 indexed citations

Lin, Yingxin, Tung-Yu Wu, Xi Chen, et al.. (2023). Data integration and inference of gene regulation using single-cell temporal multimodal data with scTIE. Genome Research. 34(1). 119–133. 3 indexed citations

Cao, Yue, Yingxin Lin, Ellis Patrick, Pengyi Yang, & Jean Yang. (2022). scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction. Bioinformatics. 38(20). 4745–4753. 8 indexed citations

Lin, Yingxin, Tung-Yu Wu, Sheng Wan, et al.. (2022). scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning. Nature Biotechnology. 40(5). 703–710. 87 indexed citations

10.

Lim, Wai H., Esther Ooi, Armando Teixeira‐Pinto, et al.. (2022). The incidence of cancer recurrence and new cancer following commencement of dialysis. Clinical Kidney Journal. 15(9). 1770–1781. 4 indexed citations

11.

Chung, Edmund Y. M., Katrina Blazek, Armando Teixeira‐Pinto, et al.. (2022). Predictive Models for Recurrent Membranous Nephropathy After Kidney Transplantation. Transplantation Direct. 8(9). e1357–e1357. 3 indexed citations

12.

Kim, Hani Jieun, Kevin Wang, Yingxin Lin, et al.. (2021). Uncovering cell identity through differential stability with Cepo. Nature Computational Science. 1(12). 784–790. 12 indexed citations

13.

Kim, Hani Jieun, Yingxin Lin, Thomas A. Geddes, Jean Yang, & Pengyi Yang. (2020). CiteFuse enables multi-modal analysis of CITE-seq data. Bioinformatics. 36(14). 4137–4143. 62 indexed citations

14.

Su, Xianbin, Qi Long, Juanjie Bo, et al.. (2020). Mutational and transcriptomic landscapes of a rare human prostate basal cell carcinoma. The Prostate. 80(6). 508–517. 14 indexed citations

15.

Lin, Yingxin, Yue Cao, Hani Jieun Kim, et al.. (2020). scClassify: sample size estimation and multiscale classification of cells using single and multiple reference. Molecular Systems Biology. 16(6). e9389–e9389. 88 indexed citations

16.

Ghazanfar, Shila, Yingxin Lin, Xianbin Su, et al.. (2020). Investigating higher-order interactions in single-cell data with scHOT. Nature Methods. 17(8). 799–806. 43 indexed citations

17.

Lin, Yingxin, Shila Ghazanfar, Kevin Wang, et al.. (2019). scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets. Proceedings of the National Academy of Sciences. 116(20). 9775–9784. 110 indexed citations

18.

Lin, Yingxin, Shila Ghazanfar, Dario Strbenac, et al.. (2019). Evaluating stably expressed genes in single cells. GigaScience. 8(9). 48 indexed citations

19.

Cao, Yue, Yingxin Lin, John T. Ormerod, et al.. (2019). scDC: single cell differential composition analysis. BMC Bioinformatics. 20(S19). 721–721. 28 indexed citations

20.

Cao, Xueying, Mats Holmqvist, Yingxin Lin, et al.. (2010). Cardiac Ion Channel Safety Profiling on the IonWorks Quattro Automated Patch Clamp System. Assay and Drug Development Technologies. 8(6). 766–780. 14 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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