Sang Moo Lim
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- Medical Imaging Techniques and Applications 53
- Radiopharmaceutical Chemistry and Applications 31
- Radiomics and Machine Learning in Medical Imaging 26
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- Sarcoma Diagnosis and Treatment 19
- Lung Cancer Treatments and Mutations 11
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 17
- Oncology top 10%
- Genetics top 10%
- Virus-based gene therapy research 12
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- Lymphoma Diagnosis and Treatment 15
- Co-authors
- Chang Woon ChoiIlhan LimByung Hyun ByunGi Jeong CheonJoo Hyun KangChang‐Bae KongTae Sup LeeByung Il Kim
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Sang Moo Lim
151 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 122
- Radiology, Nuclear Medicine and Imaging 1.2k
- Pulmonary and Respiratory Medicine 681
- Cancer Research 233
- Oncology 405
- Genetics 151
Countries citing papers authored by Sang Moo Lim
This map shows the geographic impact of Sang Moo Lim'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 Sang Moo Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Moo Lim more than expected).
Fields of papers citing papers by Sang Moo Lim
This network shows the impact of papers produced by Sang Moo Lim. 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 Sang Moo Lim. The network helps show where Sang Moo Lim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sang Moo Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2021 | 10 | |
| 4 | 2020 | 2 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 21 | |
| 10 | 2017 | 5 | |
| 11 | 2015 | 3 | |
| 12 | 2015 | 0 | |
| 13 | 2014 | 16 | |
| 14 | Estimation of Internal Motion for Quantitative Improvement of Lung Tumor in Small Animal | 2011 | 0 |
| 15 | Small Animal PET Imaging with [124I]FIAU for Herpes Simplex Virus Type 1 Thymidine Kinase Gene Expression in a Hepatoma Model. | 2008 | 2 |
| 16 | 2006 | 6 | |
| 17 | Development of a sodium/iodide symporter (NIS)-transgenic mouse for imaging of cardiomyocyte-specific reporter gene expression. | 2005 | 43 |
| 18 | Patterns of FDG Uptake in Stomach on F-18 FDG Positron Emission Tomography: Correlation with Endoscopic Findings | 2005 | 1 |
| 19 | Expression of the Recombinant Single-Chain Anti-B Cell Lymphoma Antibody | 2003 | 1 |
| 20 | Findings of F-18 FDG Whole Body PET in Patients with Stomach Cancer | 2001 | 1 |
About Sang Moo Lim
Sang Moo Lim is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine, having authored 160 papers that have together received 2.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (53 papers), Radiopharmaceutical Chemistry and Applications (31 papers), Radiomics and Machine Learning in Medical Imaging (26 papers), Sarcoma Diagnosis and Treatment (19 papers), Cancer, Hypoxia, and Metabolism (17 papers), Lymphoma Diagnosis and Treatment (15 papers), Virus-based gene therapy research (12 papers) and Lung Cancer Treatments and Mutations (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Pulmonary and Respiratory Medicine (681 citations) and Cancer Research (233 citations). Sang Moo Lim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Chang Woon Choi, Ilhan Lim, Byung Hyun Byun, Gi Jeong Cheon, Joo Hyun Kang, Chang‐Bae Kong, Tae Sup Lee, Byung Il Kim, Kyeong Min Kim and Wan Hyeong Cho. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.
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.