Shaowen Jin

480 total citations
9 papers, 323 citations indexed

About

Shaowen Jin is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Shaowen Jin has authored 9 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Shaowen Jin's work include Protein Tyrosine Phosphatases (3 papers), Immunotherapy and Immune Responses (2 papers) and Cancer-related gene regulation (2 papers). Shaowen Jin is often cited by papers focused on Protein Tyrosine Phosphatases (3 papers), Immunotherapy and Immune Responses (2 papers) and Cancer-related gene regulation (2 papers). Shaowen Jin collaborates with scholars based in China, Indonesia and Iran. Shaowen Jin's co-authors include Kang Xu, Hai Jiang, Junyang Xu, Qing Sun, Heyun Zhang, Zhenyu Zhou, Zhonghua Chu, Yujie Zeng, Qiusheng Lan and Lai Wei and has published in prestigious journals such as British Journal of Cancer, Journal of Hematology & Oncology and Oncotarget.

In The Last Decade

Shaowen Jin

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaowen Jin China	7	253	92	57	52	24	9	323
Jou‐Ho Shih Taiwan	8	222 0.9×	112 1.2×	77 1.4×	29 0.6×	31 1.3×	10	292
Zhitong Niu China	5	191 0.8×	93 1.0×	138 2.4×	98 1.9×	32 1.3×	6	331
Weiyingqi Cui Sweden	6	203 0.8×	135 1.5×	74 1.3×	49 0.9×	18 0.8×	11	298
Xue Zheng China	5	122 0.5×	55 0.6×	63 1.1×	30 0.6×	29 1.2×	9	191
Jane Ho Chun Loong China	4	149 0.6×	59 0.6×	64 1.1×	58 1.1×	23 1.0×	5	257
Angelica Pace Italy	8	114 0.5×	69 0.8×	77 1.4×	90 1.7×	30 1.3×	10	252
Xuxin Ren China	7	282 1.1×	149 1.6×	98 1.7×	85 1.6×	38 1.6×	8	390
Xiangbin Wu China	6	146 0.6×	105 1.1×	120 2.1×	64 1.2×	25 1.0×	9	287
Xinrui Mao China	8	141 0.6×	141 1.5×	106 1.9×	71 1.4×	29 1.2×	13	301

Countries citing papers authored by Shaowen Jin

Since Specialization

Citations

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

Fields of papers citing papers by Shaowen Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaowen Jin

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

All Works

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9 of 9 papers shown

1.

Yu, Huijuan, et al.. (2025). TIGIT antibody with PVR competitive ability enhances cancer immunotherapy and capable of eliciting anti-tumour immune memory. British Journal of Cancer. 133(6). 743–755.

2.

Jin, Shaowen, et al.. (2024). Multidimensional analysis of the impact of Gemmatimonas, Rhodothermus, and Sutterella on drug and treatment response in colorectal cancer. Frontiers in Cellular and Infection Microbiology. 14. 1 indexed citations

3.

Chen, Peng, et al.. (2023). Albumin-based nanosystem for dual-modality imaging-guided chem-phototherapy against immune-cold triple-negative breast cancer. Regenerative Biomaterials. 10. rbad073–rbad073. 11 indexed citations

4.

He, Jiehua, Ziqiang Chu, Lai Wei, et al.. (2021). Circular RNA circHERC4 as a novel oncogenic driver to promote tumor metastasis via the miR-556-5p/CTBP2/E-cadherin axis in colorectal cancer. Journal of Hematology & Oncology. 14(1). 194–194. 53 indexed citations

5.

Jiang, Hai, Yue Zhu, Zhenyu Zhou, et al.. (2018). PRMT5 promotes cell proliferation by inhibiting BTG2 expression via the ERK signaling pathway in hepatocellular carcinoma. Cancer Medicine. 7(3). 869–882. 54 indexed citations

6.

Jiang, Hai, Zhenyu Zhou, Shaowen Jin, et al.. (2018). PRMT9 promotes hepatocellular carcinoma invasion and metastasis via activating PI3K/Akt/GSK‐3β/Snail signaling. Cancer Science. 109(5). 1414–1427. 96 indexed citations

7.

Lan, Qiusheng, Lai Wei, Yujie Zeng, et al.. (2017). CCL26 Participates in the PRL-3–Induced Promotion of Colorectal Cancer Invasion by Stimulating Tumor-Associated Macrophage Infiltration. Molecular Cancer Therapeutics. 17(1). 276–289. 53 indexed citations

8.

Xu, Heyang, Yujie Zeng, Lu Liu, et al.. (2017). PRL-3 improves colorectal cancer cell proliferation and invasion through IL-8 mediated glycolysis metabolism. International Journal of Oncology. 51(4). 1271–1279. 30 indexed citations

9.

Jin, Shaowen, Kaimei Wang, Kang Xu, et al.. (2014). Oncogenic function and prognostic significance of protein tyrosine phosphatase PRL-1 in hepatocellular carcinoma. Oncotarget. 5(11). 3685–3696. 25 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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