Ji‐Hyun Chin

1.6k citations
58 papers · 1.1k indexed · h-index 19

Ji‐Hyun Chin

55 papers receiving 1.1k citations

Peers

Ji‐Hyun Chin
Comparison fields: 5 of 77
  • Nephrology 275
  • Developmental Neuroscience 152
  • Critical Care and Intensive Care Medicine 172
  • Cardiology and Cardiovascular Medicine 414
  • Emergency Medicine 161
Replace In‐Cheol Choi with:
In‐Cheol Choi South Korea
Jun‐Gol Song South Korea
Youn Joung Cho South Korea
Maged Argalious United States
Giuseppe Crescenzi Italy
Yunseok Jeon South Korea
Harun Tatar Türkiye
Amir M. Nia Germany
Christina Mora Mangano United States
Gaab Soo Kim South Korea
Ji‐Hyun Chin relative to In‐Cheol Choi South Korea In‐Cheol Choi's profile →
Citations per field
00.5×1.5×
In‐Cheol Choi · 1×
Citations per year

Countries citing papers authored by Ji‐Hyun Chin

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Hyun Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji‐Hyun Chin. 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 Ji‐Hyun Chin. The network helps show where Ji‐Hyun Chin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ji‐Hyun Chin, 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 Ji‐Hyun Chin Line = papers co-authored together Ji‐Hyun Chin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20222
4 20223
5 201727
6 20172
7 20174
8 2016126
9 201626
10 20161
11 20163
12 201517
13 201414
14 201434
15 201310
16 201295
17 201128
18 20116
19 201042
20 200913

About Ji‐Hyun Chin

Ji‐Hyun Chin is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, Nephrology, Developmental Neuroscience and Surgery, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (17 papers), Hemodynamic Monitoring and Therapy (12 papers), Cardiac Valve Diseases and Treatments (10 papers), Acute Kidney Injury Research (8 papers), Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (6 papers), Esophageal Cancer Research and Treatment (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Nephrology (275 citations), Developmental Neuroscience (152 citations), Critical Care and Intensive Care Medicine (172 citations), Cardiology and Cardiovascular Medicine (414 citations) and Emergency Medicine (161 citations). Ji‐Hyun Chin has collaborated with scholars based in South Korea, Malaysia and United States. Frequent co-authors include Eun‐Ho Lee, In‐Cheol Choi, Dae‐Kee Choi, Wook‐Jong Kim, Jun-Young Jo, Young‐Kug Kim, Hyeong Ryul Kim, Ji‐Yeon Sim, Suk‐Jung Choo and Kyung‐Don Hahm. Their work appears in journals such as Journal of Cardiothoracic and Vascular Anesthesia, Korean journal of anesthesiology, BMC Anesthesiology, Medicine and PLoS ONE.

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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