Shan Su

1.8k total citations
45 papers, 1.1k citations indexed

About

Shan Su is a scholar working on Infectious Diseases, Virology and Immunology. According to data from OpenAlex, Shan Su has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 13 papers in Virology and 11 papers in Immunology. Recurrent topics in Shan Su's work include HIV Research and Treatment (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and HIV/AIDS drug development and treatment (10 papers). Shan Su is often cited by papers focused on HIV Research and Treatment (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and HIV/AIDS drug development and treatment (10 papers). Shan Su collaborates with scholars based in China, United States and Hong Kong. Shan Su's co-authors include Shibo Jiang, Lu Lu, Lanying Du, Qian Wang, Haitao Yang, Min‐Hua Luo, Wei Xu, Shu Li, Shuai Xia and Zhiwu Sun and has published in prestigious journals such as Cell, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Shan Su

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shan Su China	19	570	320	279	250	172	45	1.1k
Stuart Weston United States	14	447 0.8×	281 0.9×	243 0.9×	209 0.8×	113 0.7×	18	912
Shibo Jiang China	19	606 1.1×	301 0.9×	482 1.7×	296 1.2×	279 1.6×	60	1.4k
Jingyou Yu United States	20	823 1.4×	451 1.4×	276 1.0×	209 0.8×	165 1.0×	49	1.4k
Mohsan Saeed United States	19	451 0.8×	146 0.5×	322 1.2×	402 1.6×	60 0.3×	44	1.1k
Marc P. Windisch South Korea	21	410 0.7×	226 0.7×	502 1.8×	574 2.3×	114 0.7×	57	1.6k
Yu‐Ching Lan Taiwan	18	308 0.5×	229 0.7×	220 0.8×	269 1.1×	120 0.7×	62	1.1k
Maia Kavanagh Williamson United Kingdom	10	931 1.6×	166 0.5×	384 1.4×	150 0.6×	88 0.5×	13	1.3k
Peng Xiao United States	20	395 0.7×	621 1.9×	275 1.0×	307 1.2×	631 3.7×	70	1.4k
Bruna Marini Italy	14	735 1.3×	118 0.4×	665 2.4×	107 0.4×	227 1.3×	18	1.4k

Countries citing papers authored by Shan Su

Since Specialization

Citations

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

Fields of papers citing papers by Shan Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Su

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

Su, Shan, et al.. (2025). Multi-Scale Feature Fusion Based RT-DETR for Tomato Leaf Disease Detection in Complex Backgrounds. Sensors. 25(23). 7275–7275.

Su, Shan, Xiaohong Liu, Wen Liu, et al.. (2024). Trehalose Ameliorates Nonalcoholic Fatty Liver Disease by Regulating IRE1α–TFEB Signaling Pathway. Journal of Agricultural and Food Chemistry. 73(1). 521–540. 3 indexed citations

Su, Shan, Weili Bao, Yunfeng Liu, et al.. (2024). IFN-I promotes T-cell–independent immunity and RBC autoantibodies via modulation of B-1 cell subsets in murine SCD. Blood. 145(3). 334–347.

Su, Shan, et al.. (2024). Multi-Level Hazard Detection Using a UAV-Mounted Multi-Sensor for Levee Inspection. Drones. 8(3). 90–90. 5 indexed citations

Liu, Wen, Jingyi Liu, Shan Su, et al.. (2024). Comparison of the effects of monounsaturated fatty acids and polyunsaturated fatty acids on the lipotoxicity of islets. Frontiers in Endocrinology. 15. 1368853–1368853. 7 indexed citations

Liu, Yunfeng, Shan Su, Weili Bao, et al.. (2023). Hemolysis dictates monocyte differentiation via two distinct pathways in sickle cell disease vaso-occlusion. Journal of Clinical Investigation. 133(18). 8 indexed citations

Cardone, Marco, Shan Su, Gregory Roderiquez, et al.. (2023). Development of mouse models with restricted HLA-B∗57:01 presentation for the study of flucloxacillin-driven T-cell activation and tolerance in liver injury. Journal of Allergy and Clinical Immunology. 152(2). 486–499.e7. 10 indexed citations

Li, Fanlin, Wei Xu, Xiaoqing Zhang, et al.. (2023). A spike-targeting bispecific T cell engager strategy provides dual layer protection against SARS-CoV-2 infection in vivo. Communications Biology. 6(1). 592–592. 5 indexed citations

Su, Shan, Xianan Zhang, Lei Bai, et al.. (2022). Modulation of innate immune response to viruses including SARS-CoV-2 by progesterone. Signal Transduction and Targeted Therapy. 7(1). 137–137. 28 indexed citations

10.

Lu, Lu, Shan Su, Haitao Yang, & Shibo Jiang. (2021). Antivirals with common targets against highly pathogenic viruses. Cell. 184(6). 1604–1620. 104 indexed citations

11.

Wang, Qian, Shan Su, Jing Xue, et al.. (2020). An amphipathic peptide targeting the gp41 cytoplasmic tail kills HIV-1 virions and infected cells. Science Translational Medicine. 12(546). 11 indexed citations

12.

Ma, Cuiqing, et al.. (2020). From SARS-CoV to SARS-CoV-2: safety and broad-spectrum are important for coronavirus vaccine development. Microbes and Infection. 22(6-7). 245–253. 34 indexed citations

13.

Su, Shan & Shibo Jiang. (2020). A suspicious role of interferon in the pathogenesis of SARS-CoV-2 by enhancing expression of ACE2. Signal Transduction and Targeted Therapy. 5(1). 71–71. 15 indexed citations

14.

Su, Shan, Lanying Du, & Shibo Jiang. (2020). Learning from the past: development of safe and effective COVID-19 vaccines. Nature Reviews Microbiology. 19(3). 211–219. 119 indexed citations

15.

Xu, Wei, Jing Pu, Shan Su, et al.. (2019). Revisiting the mechanism of enfuvirtide and designing an analog with improved fusion inhibitory activity by targeting triple sites in gp41. AIDS. 33(10). 1545–1555. 19 indexed citations

16.

Fu, Yu-Zhi, Yi Guo, Shan Su, et al.. (2019). Human cytomegalovirus protein UL42 antagonizes cGAS/MITA-mediated innate antiviral response. PLoS Pathogens. 15(5). e1007691–e1007691. 49 indexed citations

17.

Zhu, Yun, Shan Su, Lili Qin, et al.. (2016). Rational improvement of gp41-targeting HIV-1 fusion inhibitors: an innovatively designed Ile-Asp-Leu tail with alternative conformations. Scientific Reports. 6(1). 31983–31983. 10 indexed citations

18.

Li, Wen, Fei Yu, Qian Wang, et al.. (2015). Co-delivery of HIV-1 entry inhibitor and nonnucleoside reverse transcriptase inhibitor shuttled by nanoparticles. AIDS. 30(6). 827–838. 28 indexed citations

19.

Zhu, Xiaojie, Yun Zhu, Sheng Ye, et al.. (2015). Improved Pharmacological and Structural Properties of HIV Fusion Inhibitor AP3 over Enfuvirtide: Highlighting Advantages of Artificial Peptide Strategy. Scientific Reports. 5(1). 13028–13028. 33 indexed citations

20.

Xia, Shuai, Qi Liu, Qian Wang, et al.. (2014). Middle East respiratory syndrome coronavirus (MERS-CoV) entry inhibitors targeting spike protein. Virus Research. 194. 200–210. 96 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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