Jing An

1.5k total citations
61 papers, 1.2k citations indexed

About

Jing An is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Jing An has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Oncology, 29 papers in Immunology and 24 papers in Molecular Biology. Recurrent topics in Jing An's work include Chemokine receptors and signaling (31 papers), Immunotherapy and Immune Responses (22 papers) and HIV Research and Treatment (18 papers). Jing An is often cited by papers focused on Chemokine receptors and signaling (31 papers), Immunotherapy and Immune Responses (22 papers) and HIV Research and Treatment (18 papers). Jing An collaborates with scholars based in United States, China and Israel. Jing An's co-authors include Ziwei Huang, Won‐Tak Choi, Yan Xu, Ziwei Huang, Srinivas Duggineni, Joseph Sodroski, Dongxiang Liu, Maocai Yan, Chang‐Zhi Dong and Guanqun Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Jing An

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing An United States 20 638 600 479 182 143 61 1.2k
Elias J. Fernandez United States 16 520 0.8× 472 0.8× 425 0.9× 69 0.4× 74 0.5× 31 1.2k
Zhaowen Luo United States 14 462 0.7× 329 0.5× 331 0.7× 157 0.9× 94 0.7× 15 816
Annick Verhee Belgium 24 651 1.0× 446 0.7× 567 1.2× 30 0.2× 187 1.3× 41 1.7k
Lilly Wong United States 19 591 0.9× 326 0.5× 208 0.4× 43 0.2× 39 0.3× 47 1.0k
Laëtitia K. Linares France 20 1.5k 2.3× 837 1.4× 156 0.3× 117 0.6× 33 0.2× 32 2.0k
Julia M. Ayala United States 18 464 0.7× 278 0.5× 440 0.9× 21 0.1× 63 0.4× 22 1.1k
S Ratnofsky United States 16 780 1.2× 295 0.5× 702 1.5× 24 0.1× 203 1.4× 19 1.4k
Scott Wadsworth United States 20 545 0.9× 226 0.4× 435 0.9× 61 0.3× 47 0.3× 30 1.3k
Hidekazu Sawada Japan 11 602 0.9× 245 0.4× 411 0.9× 480 2.6× 103 0.7× 25 1.3k
Priya Chaturvedi United States 13 1.0k 1.6× 934 1.6× 538 1.1× 33 0.2× 33 0.2× 13 1.8k

Countries citing papers authored by Jing An

Since Specialization
Citations

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

Fields of papers citing papers by Jing An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing An

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

All Works

20 of 20 papers shown
1.
Zhou, Jiao, Xiang Liu, Yan Xu, et al.. (2025). Computational and Experimental Study of the Conformational Variation of the Catalytic Residue His41 of the SARS-CoV-2 Main Protease. The Journal of Physical Chemistry B. 129(21). 5198–5206. 1 indexed citations
2.
Shangguan, Fugen, et al.. (2025). Fucoxanthin suppresses pancreatic cancer progression by inducing bioenergetics metabolism crisis and promoting SLC31A1‑mediated sensitivity to DDP. International Journal of Oncology. 66(4). 1–13. 2 indexed citations
3.
Ma, Li, Chuntong Liu, Mengke Liu, et al.. (2024). Anti-pulmonary fibrosis activity analysis of methyl rosmarinate obtained from Salvia castanea Diels f. tomentosa Stib. using a scalable process. Frontiers in Pharmacology. 15. 1374669–1374669. 2 indexed citations
4.
Zhou, Jiao, et al.. (2024). Discovery of Novel Nonpeptidic Proteasome Inhibitors Using Covalent Virtual Screening and Biological Evaluation. ACS Medicinal Chemistry Letters. 15(10). 1741–1748.
5.
Shangguan, Fugen, Shuling Song, Li Ma, et al.. (2023). A novel mechanism of 6-methoxydihydroavicine in suppressing ovarian carcinoma by disrupting mitochondrial homeostasis and triggering ROS/ MAPK mediated apoptosis. Frontiers in Pharmacology. 14. 1093650–1093650. 7 indexed citations
6.
Ma, Li, Chuntong Liu, Mengke Liu, et al.. (2023). A novel mechanism of cannabidiol in suppressing ovarian cancer through LAIR ‐1 mediated mitochondrial dysfunction and apoptosis. Environmental Toxicology. 38(5). 1118–1132. 13 indexed citations
7.
Wang, Juan, Jiao Zhou, Yan Xu, et al.. (2023). A Chemical Strategy for the Degradation of the Main Protease of SARS-CoV-2 in Cells. Journal of the American Chemical Society. 145(50). 27248–27253. 22 indexed citations
8.
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10.
Fan, Tingting, Lingling Nie, Juan Wang, et al.. (2022). A synthetic bivalent peptide ligand of EphB4 with potent agonistic activity. European Journal of Medicinal Chemistry. 244. 114804–114804. 5 indexed citations
11.
Xiong, Fang, Huijun Zhang, Lina Huang, et al.. (2022). A fragment integrational approach to GPCR inhibition: Identification of a high affinity small molecule CXCR4 antagonist. European Journal of Medicinal Chemistry. 231. 114150–114150. 7 indexed citations
12.
Wang, Juan, Yi‐Ling Chen, Jasper Fuk‐Woo Chan, et al.. (2021). A new class of α-ketoamide derivatives with potent anticancer and anti-SARS-CoV-2 activities. European Journal of Medicinal Chemistry. 215. 113267–113267. 21 indexed citations
13.
Xiong, Fang, et al.. (2021). A novel small molecule CXCR4 antagonist potently mobilizes hematopoietic stem cells in mice and monkeys. Stem Cell Research & Therapy. 12(1). 17–17. 10 indexed citations
14.
Huang, Lina, Siyu Zhu, Yan Xu, et al.. (2019). High affinity CXCR4 inhibitors generated by linking low affinity peptides. European Journal of Medicinal Chemistry. 172. 174–185. 9 indexed citations
15.
Yang, Shu, et al.. (2019). The chemical biology of apoptosis: Revisited after 17 years. European Journal of Medicinal Chemistry. 177. 63–75. 29 indexed citations
16.
Yang, Yilei, Mei Gao, Qinghao Zhang, et al.. (2016). Design, synthesis, and biological characterization of novel PEG-linked dimeric modulators for CXCR4. Bioorganic & Medicinal Chemistry. 24(21). 5393–5399. 11 indexed citations
17.
Choi, Won‐Tak, Yilei Yang, Yan Xu, & Jing An. (2014). Targeting Chemokine Receptor CXCR4 for Treatment of HIV-1 Infection, Tumor Progression, and Metastasis. Current Topics in Medicinal Chemistry. 14(13). 1574–1589. 45 indexed citations
18.
Choi, Won‐Tak, Marcus Kaul, Santosh Kumar, et al.. (2007). Neuronal Apoptotic Signaling Pathways Probed and Intervened by Synthetically and Modularly Modified (SMM) Chemokines. Journal of Biological Chemistry. 282(10). 7154–7163. 14 indexed citations
19.
Li, Ying, Dongxiang Liu, Rong Cao, et al.. (2007). Crystal structure of chemically synthesized vMIP‐II. Proteins Structure Function and Bioinformatics. 67(1). 243–246. 6 indexed citations
20.
Kumar, Santosh, Chang‐Zhi Dong, Navid Madani, et al.. (2006). SMM-Chemokines: A Class of Unnatural Synthetic Molecules as Chemical Probes of Chemokine Receptor Biology and Leads for Therapeutic Development. Chemistry & Biology. 13(1). 69–79. 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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