Chang Moon

2.2k total citations · 1 hit paper
8 papers, 237 citations indexed

About

Chang Moon is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Chang Moon has authored 8 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Chang Moon's work include CAR-T cell therapy research (2 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Chang Moon is often cited by papers focused on CAR-T cell therapy research (2 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Chang Moon collaborates with scholars based in United States, South Korea and France. Chang Moon's co-authors include Yoon Hee Cho, Eun Jig Lee, Cheol Ryong Ku, Sung Wan Kim, Daniel J. Puleston, Miriam Mérad, Meriem Belabed, Joung-Woo Choi, Matthew D. Park and Chae‐Ok Yun and has published in prestigious journals such as Nature reviews. Cancer, Nature reviews. Immunology and Biomaterials.

In The Last Decade

Chang Moon

7 papers receiving 231 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dendritic cell maturation in cancer

2025 37 citations Chang Moon, Meriem Belabed et al. Nature reviews. Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chang Moon United States	6	84	74	37	36	35	8	237
Subathra Radhakrishnan India	6	96 1.1×	118 1.6×	24 0.6×	10 0.3×	55 1.6×	12	311
Andrea Vitale Italy	12	123 1.5×	95 1.3×	103 2.8×	126 3.5×	8 0.2×	26	400
Parnian Jabbari Iran	8	59 0.7×	42 0.6×	42 1.1×	10 0.3×	56 1.6×	14	205
Yue Tao China	9	115 1.4×	116 1.6×	27 0.7×	16 0.4×	18 0.5×	19	288
Noriko Ouji-Sageshima Japan	9	79 0.9×	28 0.4×	18 0.5×	18 0.5×	8 0.2×	27	237
Jinpu Yang China	11	181 2.2×	13 0.2×	36 1.0×	21 0.6×	13 0.4×	18	335
Claudia Maresca Italy	8	178 2.1×	26 0.4×	37 1.0×	42 1.2×	6 0.2×	17	334

Countries citing papers authored by Chang Moon

Since Specialization

Citations

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

Fields of papers citing papers by Chang Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Moon

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Moon, Chang, Meriem Belabed, Matthew D. Park, et al.. (2025). Dendritic cell maturation in cancer. Nature reviews. Cancer. 25(4). 225–248. 37 indexed citations breakdown →

2.

Chapouly, Candice, Viola Woo, Farinaz Safavi, et al.. (2022). Astrocytic junctional adhesion molecule-A regulates T-cell entry past the glia limitans to promote central nervous system autoimmune attack. Brain Communications. 4(2). fcac044–fcac044. 9 indexed citations

3.

Moon, Chang, Brian M. Schilder, Towfique Raj, & Kuan‐lin Huang. (2021). Phenome-wide and expression quantitative trait locus associations of coronavirus disease 2019 genetic risk loci. iScience. 24(6). 102550–102550. 9 indexed citations

4.

Moon, Chang. (2020). Dexamethasone to the rescue. Nature reviews. Immunology. 20(8). 463–463. 5 indexed citations

5.

Moon, Chang. (2020). Fighting COVID-19 exhausts T cells. Nature reviews. Immunology. 20(5). 277–277. 76 indexed citations

6.

Moon, Chang, et al.. (2014). Dual tumor targeting with pH-sensitive and bioreducible polymer-complexed oncolytic adenovirus. Biomaterials. 41. 53–68. 36 indexed citations

7.

Moon, Chang, Cheol Ryong Ku, Yoon Hee Cho, & Eun Jig Lee. (2012). Protocatechuic aldehyde inhibits migration and proliferation of vascular smooth muscle cells and intravascular thrombosis. Biochemical and Biophysical Research Communications. 423(1). 116–121. 65 indexed citations

8.

Moon, Chang, et al.. (2011). Reverse Shoulder Arthroplasty for Humeral Head Fracture with Massive Rotator Cuff Tear in Elderly Patient. The Journal of the Korean Orthopaedic Association. 46(2). 152–152.

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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