Dan Jin

576 total citations
38 papers, 384 citations indexed

About

Dan Jin is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Dan Jin has authored 38 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 8 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Dan Jin's work include Mesenchymal stem cell research (5 papers), interferon and immune responses (4 papers) and Cancer Genomics and Diagnostics (4 papers). Dan Jin is often cited by papers focused on Mesenchymal stem cell research (5 papers), interferon and immune responses (4 papers) and Cancer Genomics and Diagnostics (4 papers). Dan Jin collaborates with scholars based in China, United States and Canada. Dan Jin's co-authors include Véronique Leblanc, Diane L. Trinh, Marco A. Marra, Martha Hughes, Michael Blough, John J. Kelly, Jennifer A. Chan, Bo Young Ahn, J. Gregory Cairncross and Jianhong Li and has published in prestigious journals such as Blood, PLoS ONE and Cancer Cell.

In The Last Decade

Dan Jin

37 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Jin China	12	153	69	66	60	57	38	384
Heike Kaltenegger Austria	12	184 1.2×	25 0.4×	40 0.6×	73 1.2×	55 1.0×	21	403
Ting Ma China	8	150 1.0×	53 0.8×	69 1.0×	46 0.8×	37 0.6×	22	328
Ching-Ju Li Taiwan	10	160 1.0×	50 0.7×	63 1.0×	64 1.1×	32 0.6×	11	387
Mohamed Essameldin Abdelgawad Egypt	11	235 1.5×	74 1.1×	144 2.2×	56 0.9×	40 0.7×	15	488
Shinji Tsuchida Japan	15	207 1.4×	22 0.3×	36 0.5×	90 1.5×	70 1.2×	48	503
Xiaofei Yang China	11	178 1.2×	30 0.4×	35 0.5×	84 1.4×	79 1.4×	37	345
Feng Qu China	13	216 1.4×	44 0.6×	65 1.0×	108 1.8×	142 2.5×	59	520
Malay Chaklader United States	16	194 1.3×	79 1.1×	54 0.8×	44 0.7×	47 0.8×	27	459
Taotao Xu China	16	220 1.4×	74 1.1×	60 0.9×	130 2.2×	103 1.8×	41	554

Countries citing papers authored by Dan Jin

Since Specialization

Citations

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

Fields of papers citing papers by Dan Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Jin. A scholar is included among the top collaborators of Dan 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 Dan Jin. Dan 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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20 of 20 papers shown

Love, Christopher, et al.. (2025). OS05.5.A RADIAL GLIAL CELLS AS SOURCE ANTIGEN FOR ADOPTIVE CELLULAR THERAPY IN GLIOBLASTOMA. Neuro-Oncology. 27(Supplement_3). iii18–iii18.

Wang, Fengqi, et al.. (2025). Optimizing infusion-suction diameter ratio (ISDR) in ureteroscopy: in vitro pressure and flow prediction and management. Urolithiasis. 53(1). 82–82. 1 indexed citations

Jin, Dan, et al.. (2024). Machine Learning–Directed Conversion of Glioblastoma Cells to Dendritic Cell–Like Antigen-Presenting Cells as Cancer Immunotherapy. Cancer Immunology Research. 12(10). 1340–1360. 8 indexed citations

Wang, Shuangqing, Hao Wu, Liqing Chen, et al.. (2024). Synergistic Effects of Chemotherapy and Phototherapy on Ovarian Cancer Using Follicle-Stimulating Hormone Receptor-Mediated Liposomes Co-Loaded with SN38 and IR820. Pharmaceutics. 16(4). 490–490. 1 indexed citations

Dean, Joseph, Changlin Yang, Connor Francis, et al.. (2023). Immunotherapy reverses glioma-driven dysfunction of immune system homeostasis. Journal for ImmunoTherapy of Cancer. 11(2). e004805–e004805. 3 indexed citations

Jin, Dan, et al.. (2023). From protection by industrialization to social innovation: Product design and cultural regeneration of Chinese craft resources. AIP conference proceedings. 2778. 40013–40013. 1 indexed citations

Song, Jiali, Binmei Sun, Changming Chen, et al.. (2023). An R‐R‐type MYB transcription factor promotes non‐climacteric pepper fruit carotenoid pigment biosynthesis. The Plant Journal. 115(3). 724–741. 40 indexed citations

Jin, Dan, et al.. (2023). What is the appropriate gravel size during ureteroscopy lithotripsy? An in vitro evaluation. Urolithiasis. 51(1). 52–52. 17 indexed citations

Jin, Dan, Xiaodong Zhang, Hongkun Yin, et al.. (2022). Multiphase Dual-Energy Spectral CT-Based Deep Learning Method for the Noninvasive Prediction of Head and Neck Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer. Frontiers in Oncology. 12. 869895–869895. 11 indexed citations

10.

Leblanc, Véronique, Diane L. Trinh, Martha Hughes, et al.. (2022). Single-cell landscapes of primary glioblastomas and matched explants and cell lines show variable retention of inter- and intratumor heterogeneity. Cancer Cell. 40(4). 379–392.e9. 80 indexed citations

11.

Jin, Dan, et al.. (2022). Clinical Study on the Combination of Transcutaneous Electrical Acupoint Stimulation and Lidocaine for Preventing Propofol Injection Pain. Journal of Pain Research. Volume 15. 745–755. 5 indexed citations

12.

Wei, Lisa L., Diane L. Trinh, Rhonda E. Ries, et al.. (2020). Integrative Analysis of Single-Cell RNA-Seq and ATAC-Seq Data across Treatment Time Points in Pediatric AML. Blood. 136(Supplement 1). 29–29. 2 indexed citations

13.

Jin, Dan, Nguyen H. Tran, Nagheme Thomas, & David D. Tran. (2019). Combining CDK4/6 inhibitors ribociclib and palbociclib with cytotoxic agents does not enhance cytotoxicity. PLoS ONE. 14(10). e0223555–e0223555. 17 indexed citations

14.

Wu, Jianqun, et al.. (2017). Safe Zone of Posterior Screw Insertion for Talar Neck Fractures on 3‐Dimensional Reconstruction Model. Orthopaedic Surgery. 9(1). 28–33. 11 indexed citations

15.

Hu, Jijie, Yawei Liu, Minyi He, et al.. (2014). Proteomic analysis on effectors involved in BMP-2-induced osteogenic differentiation of beagle bone marrow mesenchymal stem cells. Proteome Science. 12(1). 13–13. 11 indexed citations

16.

Wen, Qian, et al.. (2012). HGF-Transgenic MSCs Can Improve the Effects of Tissue Self-Repair in a Rabbit Model of Traumatic Osteonecrosis of the Femoral Head. PLoS ONE. 7(5). e37503–e37503. 26 indexed citations

17.

Pei, Guoxian, et al.. (2010). Cyclosporine-impregnated allograft bone sterilized with low-temperature plasma. Journal of Tissue Engineering and Regenerative Medicine. 4(8). 638–651. 3 indexed citations

18.

Wu, Tao & Dan Jin. (2009). Biomimetic synthesis and biocompatibility of nano-hydroxyapatite/chitosan scaffold for bone tissue engineering. Zhonghua chuangshang guke zazhi. 11(5). 450–454. 1 indexed citations

19.

Qi, Xufeng, et al.. (2009). Fluvastatin inhibits expression of the chemokine MDC/CCL22 induced by interferon‐γ in HaCaT cells, a human keratinocyte cell line. British Journal of Pharmacology. 157(8). 1441–1450. 31 indexed citations

20.

Jin, Dan, et al.. (2004). Strip layer method for simulation of the three‐dimensional deformations of plate and strip rolling. Communications in Numerical Methods in Engineering. 20(3). 183–191. 8 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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