Shang Cai

4.5k total citations · 2 hit papers
35 papers, 2.7k citations indexed

About

Shang Cai is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Shang Cai has authored 35 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Oncology and 8 papers in Cell Biology. Recurrent topics in Shang Cai's work include Cancer Cells and Metastasis (10 papers), Microtubule and mitosis dynamics (7 papers) and Cancer-related Molecular Pathways (6 papers). Shang Cai is often cited by papers focused on Cancer Cells and Metastasis (10 papers), Microtubule and mitosis dynamics (7 papers) and Cancer-related Molecular Pathways (6 papers). Shang Cai collaborates with scholars based in China, United States and Netherlands. Shang Cai's co-authors include Claire Walczak, Alexey Khodjakov, Aikun Fu, Ferenc A. Scheeren, Angera H. Kuo, Michael F. Clarke, Dalong Qian, Maider Zabala, Frederick M. Dirbas and Stephanie C. Ems-McClung and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Shang Cai

32 papers receiving 2.7k citations

Hit Papers

Single-cell transcription... 2020 2026 2022 2024 2020 2022 200 400 600
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.

  1. Single-cell transcriptional diversity is a hallmark of developmental potential
    2020 712 citations Gunsagar S. Gulati, Shaheen S. Sikandar et al. Science profile →
  2. Tumor-resident intracellular microbiota promotes metastatic colonization in breast cancer
    2022 617 citations Aikun Fu, Yongyi Chen et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shang Cai China 19 1.8k 741 600 500 356 35 2.7k
Christine Jean France 24 1.5k 0.8× 793 1.1× 550 0.9× 446 0.9× 460 1.3× 52 2.9k
Juliane Winkler Germany 15 1.8k 1.0× 668 0.9× 633 1.1× 428 0.9× 369 1.0× 20 2.9k
Aki Hanyu Japan 22 3.1k 1.7× 969 1.3× 438 0.7× 658 1.3× 400 1.1× 26 4.2k
HY Li Singapore 29 1.9k 1.0× 518 0.7× 548 0.9× 409 0.8× 197 0.6× 74 2.8k
Vimla Band United States 35 2.2k 1.2× 1.7k 2.3× 352 0.6× 648 1.3× 400 1.1× 74 4.0k
James C. Garbe United States 32 1.9k 1.0× 827 1.1× 277 0.5× 471 0.9× 180 0.5× 55 2.8k
Vimla Band United States 31 2.8k 1.5× 1.4k 1.9× 616 1.0× 568 1.1× 430 1.2× 70 4.2k
Andrew Wilber United States 28 1.7k 0.9× 895 1.2× 276 0.5× 353 0.7× 387 1.1× 62 2.8k
Shuo Ma United States 28 1.2k 0.7× 762 1.0× 253 0.4× 500 1.0× 733 2.1× 160 3.2k
Calvin D. Roskelley Canada 36 2.5k 1.4× 1.3k 1.8× 890 1.5× 772 1.5× 487 1.4× 79 4.7k

Countries citing papers authored by Shang Cai

Since Specialization
Citations

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

Fields of papers citing papers by Shang Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang Cai

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

All Works

20 of 20 papers shown
1.
Xiao, Yu, et al.. (2025). Social status, hukou conversion and upwards class mobility: evidence from Chinese rural‒urban migrants. Humanities and Social Sciences Communications. 12(1).
2.
Guo, Yajing, Huiru Bai, Xiaoqin Liu, et al.. (2025). Distinct mammary stem cells orchestrate long-term homeostasis of adult mammary gland. Cell Discovery. 11(1). 39–39.
3.
Bai, Huiru, Xiaoqin Liu, Mei‐Zhen Lin, et al.. (2024). Progressive senescence programs induce intrinsic vulnerability to aging-related female breast cancer. Nature Communications. 15(1). 5154–5154. 12 indexed citations
4.
Yuan, Lei, Shaofang Xie, Huiru Bai, et al.. (2023). Reconstruction of dynamic mammary mini gland in vitro for normal physiology and oncogenesis. Nature Methods. 20(12). 2021–2033. 20 indexed citations
5.
Li, Lu, Cuiji Sun, Yaoting Sun, et al.. (2022). Spatially resolved proteomics via tissue expansion. Nature Communications. 13(1). 7242–7242. 36 indexed citations
6.
Fu, Aikun, et al.. (2022). Emerging roles of intratumor microbiota in cancer metastasis. Trends in Cell Biology. 33(7). 583–593. 90 indexed citations
7.
Weele, Linda J. van, Sabra Djomehri, Shang Cai, et al.. (2022). Mesenchymal tumor cells drive adaptive resistance of Trp53−/− breast tumor cells to inactivated mutant Kras. Molecular Oncology. 16(17). 3128–3145. 1 indexed citations
8.
Bai, Huiru, et al.. (2022). An improved CUT&RUN method for regulation network reconstruction of low abundance transcription factor. Cellular Signalling. 96. 110361–110361. 2 indexed citations
9.
Fu, Aikun, Yongyi Chen, Jia Yao, et al.. (2022). Tumor-resident intracellular microbiota promotes metastatic colonization in breast cancer. Cell. 185(8). 1356–1372.e26. 617 indexed citations breakdown →
10.
Gulati, Gunsagar S., Shaheen S. Sikandar, Daniel J. Wesche, et al.. (2020). Single-cell transcriptional diversity is a hallmark of developmental potential. Science. 367(6476). 405–411. 712 indexed citations breakdown →
11.
12.
Li, Xiaoliang, Dongdong Zhang, Chunhui Wang, et al.. (2020). A Versatile Tiling Light Sheet Microscope for Imaging of Cleared Tissues. Cell Reports. 33(5). 108349–108349. 55 indexed citations
13.
Cai, Shang, Kunyoo Shin, Agnes Lim, et al.. (2017). Stromal Gli2 activity coordinates a niche signaling program for mammary epithelial stem cells. Science. 356(6335). 49 indexed citations
14.
Sikandar, Shaheen S., Angera H. Kuo, Tomer Kalisky, et al.. (2017). Role of epithelial to mesenchymal transition associated genes in mammary gland regeneration and breast tumorigenesis. Nature Communications. 8(1). 1669–1669. 45 indexed citations
15.
Isobe, Taichi, Shigeo Hisamori, Daniel J. Hogan, et al.. (2014). miR-142 regulates the tumorigenicity of human breast cancer stem cells through the canonical WNT signaling pathway. eLife. 3. 155 indexed citations
16.
Cai, Shang, Lesley N. Weaver, Stephanie C. Ems-McClung, & Claire Walczak. (2010). Proper Organization of Microtubule Minus Ends Is Needed for Midzone Stability and Cytokinesis. Current Biology. 20(9). 880–885. 43 indexed citations
17.
Walczak, Claire, Shang Cai, & Alexey Khodjakov. (2010). Mechanisms of chromosome behaviour during mitosis. Nature Reviews Molecular Cell Biology. 11(2). 91–102. 180 indexed citations
18.
Cai, Shang, Christopher B. O’Connell, Alexey Khodjakov, & Claire Walczak. (2009). Chromosome congression in the absence of kinetochore fibres. Nature Cell Biology. 11(7). 832–838. 126 indexed citations
19.
Cai, Shang, et al.. (2008). Inhibition of protein deacetylation by trichostatin A impairs microtubule-kinetochore attachment. Cellular and Molecular Life Sciences. 65(19). 3100–3109. 16 indexed citations
20.

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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