In-Suh Park

19 papers receiving 663 citations

Peers

In-Suh Park
Comparison fields: 5 of 87
  • Biomaterials 279
  • Hepatology 56
  • Pharmacology 44
  • Biomedical Engineering 224
  • Geriatrics and Gerontology 15
Replace Ankush Sharma with:
Ankush Sharma United States
Balsam R. Rizeq Qatar
Yeon Jun Jeong South Korea
Xiaoqi Jiang Germany
Rufang Liao China
Yitao Ding China
Chang Su China
Pradip R. Chaudhari India
In-Suh Park relative to Ankush Sharma United States Ankush Sharma's profile →
Citations per field
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Citations per year

Countries citing papers authored by In-Suh Park

Since Specialization
Citations

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

Fields of papers citing papers by In-Suh Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Suh Park. 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-Suh Park. The network helps show where In-Suh Park may publish in the future.

Co-authors

The 25 scholars most cited alongside In-Suh Park, 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-Suh Park Line = papers co-authored together In-Suh Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010298
2 2011133
3 201065
4 200850
5 200435
6 200829
7 200925
8 200512
9 20057
10 20086
11 20136
12 20195
13
Low grade gastric mucosa associated lymphoid tissue lymphoma; treatment strategies based on 10 year follow-up
20044
14 20124
15
폐암의 다발성 소장 전이
20062
16 20152
17
A Case of Mucosa-Associated Lymphoid Tissue Lymphoma in the Esophagus Accompanied by Bronchus-Associated Lymphoid Tissue Lymphoma.
20031
18
Endoscopic Findings and Results of Long-term Follow-up of Low Grade Gastric MALT Lymphoma
20031
19
Touch Imprint Cytology of Merkel Cell Carcinoma - A Case Report -
20051
20
A case of Gardner's syndrome associated with adrenal adenoma
20061

About In-Suh Park

In-Suh Park is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Surgery, Hepatology and Oncology, having authored 24 papers that have together received 688 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (2 papers), Polyomavirus and related diseases (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Biomaterials (279 citations), Hepatology (56 citations), Pharmacology (44 citations), Biomedical Engineering (224 citations) and Geriatrics and Gerontology (15 citations). In-Suh Park has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kyung Hee Jung, Jun Hu, You Han Bae, Seok Won Jeong, Jeongmi Lee, Jin Hee Maeng, Jungahn Kim, Soon‐Sun Hong, Wooyoung Kim and Chang-Koo Shim. Their work appears in journals such as Archives of Pharmacal Research, World Journal of Gastroenterology, Journal of Controlled Release, Journal of Korean Medical Science and Diagnostic Cytopathology.

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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