Jingyue Xi

1.2k total citations · 1 hit paper
8 papers, 389 citations indexed

About

Jingyue Xi is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jingyue Xi has authored 8 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Jingyue Xi's work include Single-cell and spatial transcriptomics (5 papers), Estrogen and related hormone effects (2 papers) and Immune cells in cancer (2 papers). Jingyue Xi is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Estrogen and related hormone effects (2 papers) and Immune cells in cancer (2 papers). Jingyue Xi collaborates with scholars based in United States. Jingyue Xi's co-authors include Jun Hee Lee, Hyun Min Kang, Chun‐Seok Cho, Goo Jun, Myungjin Kim, Jer-En Hsu, Yichen Si, Daniel L. Hertz, Kelley M. Kidwell and N. Lynn Henry and has published in prestigious journals such as Cell, Nature Protocols and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Jingyue Xi

8 papers receiving 384 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microscopic examination of spatial transcriptome using Seq-Scope

2021 305 citations Chun‐Seok Cho, Jingyue Xi et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingyue Xi United States	6	305	71	57	41	36	8	389
Sarah Röthlisberger Colombia	7	235 0.8×	35 0.5×	81 1.4×	12 0.3×	31 0.9×	14	346
Bonnie Hei Man Liu Hong Kong	7	171 0.6×	80 1.1×	67 1.2×	11 0.3×	28 0.8×	9	279
Antonio Mora China	10	296 1.0×	29 0.4×	50 0.9×	12 0.3×	32 0.9×	21	405
Qiuyu Lian China	10	349 1.1×	58 0.8×	143 2.5×	24 0.6×	52 1.4×	13	478
Shanhe Yu China	13	235 0.8×	65 0.9×	56 1.0×	8 0.2×	63 1.8×	28	363
Andreas Digre Sweden	7	153 0.5×	45 0.6×	41 0.7×	10 0.2×	33 0.9×	8	260
Olivier Cexus United Kingdom	8	138 0.5×	64 0.9×	29 0.5×	8 0.2×	24 0.7×	13	392
Ann F. Hoffman United States	7	182 0.6×	20 0.3×	17 0.3×	24 0.6×	49 1.4×	15	274
Mazène Hochane France	8	229 0.8×	19 0.3×	40 0.7×	17 0.4×	49 1.4×	11	321

Countries citing papers authored by Jingyue Xi

Since Specialization

Citations

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

Fields of papers citing papers by Jingyue Xi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyue Xi

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

All Works

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8 of 8 papers shown

1.

Cheng, Weiqiu, Chun‐Seok Cho, Yichen Si, et al.. (2024). Seq-Scope: repurposing Illumina sequencing flow cells for high-resolution spatial transcriptomics. Nature Protocols. 20(3). 643–689. 8 indexed citations

2.

Xi, Jingyue, et al.. (2023). SiftCell: A robust framework to detect and isolate cell-containing droplets from single-cell RNA sequence reads. Cell Systems. 14(7). 620–628.e3. 3 indexed citations

3.

Xi, Jingyue, Jun Hee Lee, Hyun Min Kang, & Goo Jun. (2022). STtools: a comprehensive software pipeline for ultra-high-resolution spatial transcriptomics data. Bioinformatics Advances. 2(1). 5 indexed citations

4.

Cho, Chun‐Seok, Jingyue Xi, Yichen Si, et al.. (2021). Microscopic examination of spatial transcriptome using Seq-Scope. Cell. 184(13). 3559–3572.e22. 305 indexed citations breakdown →

5.

Cho, Chun‐Seok, et al.. (2020). Holistic characterization of single-hepatocyte transcriptome responses to high-fat diet. American Journal of Physiology-Endocrinology and Metabolism. 320(2). E244–E258. 24 indexed citations

6.

Kamdem, Landry K., Jingyue Xi, Brandi L. Clark, et al.. (2019). Exemestane may be less detrimental than letrozole to bone health in women homozygous for the UGT2B17*2 gene deletion. Breast Cancer Research and Treatment. 175(2). 297–303. 5 indexed citations

7.

Xi, Jingyue, et al.. (2018). Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics. Journal of Oncology Practice. 14(6). e368–e374. 32 indexed citations

8.

Xi, Jingyue, et al.. (2017). Attempted replication of SNPs in RANKL and OPG with musculoskeletal adverse events during aromatase inhibitor treatment for breast cancer. Physiological Genomics. 50(2). 98–99. 7 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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