In Chan Song

10.4k citations
113 papers · 8.5k indexed · 4 hit papers · h-index 44

In Chan Song

111 papers receiving 8.4k citations

Hit Papers

Uniform Mesoporous Dye-Doped Silica Nanoparticles Decorat...62020082026201420204008001.2k

Peers

In Chan Song
Comparison fields: 5 of 171
  • Biomaterials 2.0k
  • Radiology, Nuclear Medicine and Imaging 2.3k
  • Materials Chemistry 2.9k
  • Biomedical Engineering 2.3k
  • Radiation 366
Replace Hui Mao with:
Hui Mao United States
Todd E. Barnhart United States
Yongmin Chang South Korea
Dong‐Hyun Kim South Korea
Joseph A. Frank United States
Hao Lei China
Chi‐Shiun Chiang Taiwan
Hui Wang China
Samuel Achilefu United States
Ronald R. Price United States
In Chan Song relative to Hui Mao United States Hui Mao's profile →
Citations per field
00.5×1.6×
Hui Mao · 1×
Citations per year

Countries citing papers authored by In Chan Song

Since Specialization
Citations

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

Fields of papers citing papers by In Chan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In Chan Song. 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 In Chan Song. The network helps show where In Chan Song may publish in the future.

Co-authorship network

The 25 scholars most cited alongside In Chan Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with In Chan Song Line = papers co-authored together In Chan Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 201513
3 201525
4 2012149
5 201225
6 2009228
7 200976
8 2009194
9
Pulse Protocol-based Hybrid Reader Anti-collision Algorithm using Slot-occupied Probability under Dense Reader Environment
20081
10
Multifunctional Uniform Nanoparticles Composed of a Magnetite Nanocrystal Core and a Mesoporous Silica Shell for Magnetic Resonance and Fluorescence Imaging and for Drug Deliverybreakdown →
20081054
11 20088
12 200758
13 2006104
14 200514
15 200470
16 200422
17 200424
18 1998206
19
Perfusion MR Imaging of the Brain Tumor: Preliminary Report.
19971
20
The Proton Nuclear Magnetic Resonance Spectral Analysis of Human Blood Plasma Lipoprotein
19891

About In Chan Song

In Chan Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Psychiatry and Mental health, having authored 113 papers that have together received 8.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (33 papers), Advanced Neuroimaging Techniques and Applications (30 papers), MRI in cancer diagnosis (16 papers), Medical Imaging Techniques and Applications (15 papers), Atomic and Subatomic Physics Research (11 papers), Radiation Detection and Scintillator Technologies (10 papers), Nanoparticle-Based Drug Delivery (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Biomaterials (2.0k citations), Radiology, Nuclear Medicine and Imaging (2.3k citations) and Materials Chemistry (2.9k citations). In Chan Song has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Taeghwan Hyeon, Hyon Bin Na, Woo Kyung Moon, Nohyun Lee, Hyoungsu Kim, Jaeyun Kim, Taeho Kim, Hoe Suk Kim, Taekyung Yu and Seung Hong Choi. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

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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