Shanjuan Hong

513 total citations
9 papers, 354 citations indexed

About

Shanjuan Hong is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Shanjuan Hong has authored 9 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Shanjuan Hong's work include Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Shanjuan Hong is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Shanjuan Hong collaborates with scholars based in China and Netherlands. Shanjuan Hong's co-authors include Chen Dong, Ling Ni, Shan Xie, Qin Qiao, Wei Jin, Jinling Huang, Haidong Tan, Wenjuan Zang, Zhiying Yang and Jia Huang and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Transplantation.

In The Last Decade

Shanjuan Hong

9 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shanjuan Hong China	8	192	162	64	50	33	9	354
Ida Contasta Italy	12	176 0.9×	130 0.8×	80 1.3×	69 1.4×	43 1.3×	25	379
Daqian Gu China	7	100 0.5×	119 0.7×	82 1.3×	21 0.4×	35 1.1×	8	298
Paula Fernández‐Calotti Argentina	11	146 0.8×	65 0.4×	145 2.3×	20 0.4×	26 0.8×	17	396
Karim Bennaceur United Kingdom	10	186 1.0×	98 0.6×	120 1.9×	28 0.6×	48 1.5×	14	398
Supinya Iamsawat United States	10	199 1.0×	97 0.6×	105 1.6×	53 1.1×	36 1.1×	19	372
Jason Law United States	8	153 0.8×	56 0.3×	90 1.4×	27 0.5×	19 0.6×	20	358
Shankar Revu United States	9	234 1.2×	82 0.5×	86 1.3×	35 0.7×	22 0.7×	14	404
Laurindo Ferreira da Rocha Brazil	11	170 0.9×	64 0.4×	78 1.2×	74 1.5×	29 0.9×	17	377
Ke Geng United States	11	393 2.0×	139 0.9×	143 2.2×	19 0.4×	52 1.6×	15	530
Nazif Hikmet Aksoy Türkiye	8	142 0.7×	58 0.4×	147 2.3×	26 0.5×	14 0.4×	10	323

Countries citing papers authored by Shanjuan Hong

Since Specialization

Citations

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

Fields of papers citing papers by Shanjuan Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanjuan Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Shanjuan Hong. A scholar is included among the top collaborators of Shanjuan Hong 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 Shanjuan Hong. Shanjuan Hong 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.

Hong, Shanjuan, Qing Yuan, Tiantian Sun, et al.. (2022). Establishment of an Ex Vivo Tissue Culture Model for Evaluation of Antitumor Efficacy in Clear Cell Renal Cell Carcinoma. Frontiers in Oncology. 12. 851191–851191. 8 indexed citations

2.

Li, Jiaming, Shanjuan Hong, Qin Qiao, et al.. (2019). Tumor-expressed B7-H3 mediates the inhibition of antitumor T-cell functions in ovarian cancer insensitive to PD-1 blockade therapy. Cellular and Molecular Immunology. 17(3). 227–236. 94 indexed citations

3.

Xie, Shan, Jia Huang, Qin Qiao, et al.. (2018). Expression of the inhibitory B7 family molecule VISTA in human colorectal carcinoma tumors. Cancer Immunology Immunotherapy. 67(11). 1685–1694. 86 indexed citations

4.

Huang, Jinling, Hui Zhu, Shanjuan Hong, et al.. (2016). IL-17C/IL-17RE Augments T Cell Function in Autoimmune Hepatitis. The Journal of Immunology. 198(2). 669–680. 22 indexed citations

5.

Huang, Jinling, et al.. (2015). IL-17C is required for lethal inflammation during systemic fungal infection. Cellular and Molecular Immunology. 13(4). 474–483. 51 indexed citations

6.

Hong, Shanjuan, Bingyi Shi, Jesper Kers, et al.. (2013). CD4+CD25−Nrp1+ T Cells Synergize with Rapamycin to Prevent Murine Cardiac Allorejection in Immunocompetent Recipients. PLoS ONE. 8(4). e61151–e61151. 11 indexed citations

7.

Zhang, Xin, Meng Guo, Fang Liu, et al.. (2013). SAHA, an HDAC Inhibitor, Attenuates Antibody-Mediated Allograft Rejection. Transplantation. 96(6). 529–537. 5 indexed citations

8.

Zhang, Xin, Shu Han, Meng Guo, et al.. (2012). SAHA, an HDAC inhibitor, synergizes with tacrolimus to prevent murine cardiac allograft rejection. Cellular and Molecular Immunology. 9(5). 390–398. 30 indexed citations

9.

Yuan, Qing, Shanjuan Hong, Shu Han, et al.. (2011). Preconditioning with Physiological Levels of Ethanol Protect Kidney against Ischemia/Reperfusion Injury by Modulating Oxidative Stress. PLoS ONE. 6(10). e25811–e25811. 47 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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