Shishang Qin

3.9k total citations · 4 hit papers
18 papers, 2.1k citations indexed

About

Shishang Qin is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Shishang Qin has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Immunology. Recurrent topics in Shishang Qin's work include Single-cell and spatial transcriptomics (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and CAR-T cell therapy research (3 papers). Shishang Qin is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and CAR-T cell therapy research (3 papers). Shishang Qin collaborates with scholars based in China, United States and Ethiopia. Shishang Qin's co-authors include Zemin Zhang, Xianwen Ren, Zhaode Bu, Xueda Hu, Baocai Xing, Jiafu Ji, Ranran Gao, Hanqiang Ouyang, Lei Zhang and Yu Yang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Shishang Qin

18 papers receiving 2.0k citations

Hit Papers

A pan-cancer single-cell transcriptional atlas of tumor i... 2021 2026 2022 2024 2021 2021 2023 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shishang Qin China 12 1.1k 944 943 353 242 18 2.1k
Daniel K. Wells United States 11 961 0.8× 461 0.5× 1.0k 1.1× 208 0.6× 264 1.1× 23 1.8k
Lucas A. Horn United States 20 1.2k 1.0× 462 0.5× 1.0k 1.1× 163 0.5× 216 0.9× 27 1.9k
Joseph L. Benci United States 11 1.6k 1.4× 1.4k 1.5× 1.3k 1.3× 525 1.5× 273 1.1× 20 3.0k
Sagar Chhangawala United States 14 710 0.6× 876 0.9× 338 0.4× 381 1.1× 233 1.0× 21 1.8k
Cailian Liu United States 16 1.4k 1.2× 513 0.5× 1.2k 1.3× 149 0.4× 127 0.5× 34 2.1k
Rosa Patruno Italy 25 699 0.6× 712 0.8× 373 0.4× 152 0.4× 356 1.5× 51 1.6k
Scott D. Chasalow United States 21 1.1k 1.0× 572 0.6× 1.8k 2.0× 210 0.6× 457 1.9× 38 2.6k
Galen A. Ohnmacht United States 16 809 0.7× 997 1.1× 567 0.6× 152 0.4× 91 0.4× 18 1.7k
Owen Williams United Kingdom 31 1.4k 1.3× 1.4k 1.5× 440 0.5× 293 0.8× 133 0.5× 82 3.2k

Countries citing papers authored by Shishang Qin

Since Specialization
Citations

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

Fields of papers citing papers by Shishang Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shishang Qin

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

All Works

18 of 18 papers shown
1.
Shi, Qiang, Yang Li, Shishang Qin, et al.. (2025). Cross-tissue multicellular coordination and its rewiring in cancer. Nature. 643(8071). 529–538. 4 indexed citations
2.
Qin, Shishang, Yi‐Jen Chen, Kai Liu, et al.. (2024). Predicting the response to neoadjuvant chemoradiation for rectal cancer using nomograms based on MRI tumour regression grade. Cancer/Radiothérapie. 28(4). 341–353. 1 indexed citations
3.
Yu, Yang, Xueyan Chen, Yaojun Zhang, et al.. (2024). Pan-cancer single-cell dissection reveals phenotypically distinct B cell subtypes. Cell. 187(17). 4790–4811.e22. 63 indexed citations breakdown →
4.
Tang, Fei, Jinhu Li, Lu Qi, et al.. (2023). A pan-cancer single-cell panorama of human natural killer cells. Cell. 186(19). 4235–4251.e20. 187 indexed citations breakdown →
5.
Yang, Rui, Ilia A. Droujinine, Namrata D. Udeshi, et al.. (2022). A genetic model for in vivo proximity labelling of the mammalian secretome. Open Biology. 12(8). 220149–220149. 17 indexed citations
6.
Kang, Boxi, J. Camps, Biao Fan, et al.. (2022). Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment. Genome biology. 23(1). 60 indexed citations
7.
Xu, Liqin, Yuxiang Ma, Chao Fang, et al.. (2022). Genomic and microbial factors affect the prognosis of anti-pd-1 immunotherapy in nasopharyngeal carcinoma. Frontiers in Oncology. 12. 953884–953884. 11 indexed citations
8.
Zheng, Liangtao, Shishang Qin, Wen Si, et al.. (2021). Pan-cancer single-cell landscape of tumor-infiltrating T cells. Science. 374(6574). abe6474–abe6474. 699 indexed citations breakdown →
9.
Cheng, Sijin, Ziyi Li, Ranran Gao, et al.. (2021). A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells. Cell. 184(3). 792–809.e23. 820 indexed citations breakdown →
10.
Zheng, Liangtao & Shishang Qin. (2021). Codes for the paper "Pan-cancer single-cell landscape of tumor-infiltrating T cells". Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
11.
Natarajan, Kedar Nath, Zhichao Miao, Miaomiao Jiang, et al.. (2019). Comparative analysis of sequencing technologies for single-cell transcriptomics. Genome biology. 20(1). 70–70. 78 indexed citations
12.
Wang, Jun, James T. Lamer, Cao Deng, et al.. (2019). Resolving the genetic paradox of invasions: Preadapted genomes and postintroduction hybridization of bigheaded carps in the Mississippi River Basin. Evolutionary Applications. 13(2). 263–277. 33 indexed citations
13.
Zhu, Lifeng, Cao Deng, Xiang Zhao, et al.. (2018). Endangered Père David’s deer genome provides insights into population recovering. Evolutionary Applications. 11(10). 2040–2053. 17 indexed citations
14.
Xu, Hui, Shishang Qin, Xiyue Cao, et al.. (2017). Comparative genomic analysis of Paenibacillus sp. SSG-1 and its closely related strains reveals the effect of glycometabolism on environmental adaptation. Scientific Reports. 7(1). 5720–5720. 11 indexed citations
15.
He, Yang, Hongtao Xiao, Cao Deng, et al.. (2017). Complete Chloroplast Genome Sequence of Coptis chinensis Franch. and Its Evolutionary History. BioMed Research International. 2017. 1–7. 9 indexed citations
16.
Song, Tao, Hui Xu, Shishang Qin, et al.. (2016). Horizontal Transfer of a Novel Soil Agarase Gene from Marine Bacteria to Soil Bacteria via Human Microbiota. Scientific Reports. 6(1). 34103–34103. 18 indexed citations
17.
Cao, Yu, Xi Li, Shishang Qin, et al.. (2016). Purification and characterization of a novel intracellular α-amylase with a wide variety of substrates hydrolysis and transglycosylation activity from Paenibacillus sp. SSG-1. Protein Expression and Purification. 144. 62–70. 9 indexed citations
18.
He, Yang, Cao Deng, Liang Xiong, Shishang Qin, & Cheng Peng. (2016). Transcriptome sequencing provides insights into the metabolic pathways of patchouli alcohol and pogostone in Pogostemon cablin (Blanco) Benth.. Genes & Genomics. 38(11). 1031–1039. 15 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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