Jiin Ahn

2.6k citations
42 papers · 1.9k · h-index 25

Impact in

Papers in

Jiin Ahn

42 papers receiving 1.9k citations

Peers

Jiin Ahn
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 396
  • Nephrology 146
  • Epidemiology 666
  • Hepatology 134
  • Pathology and Forensic Medicine 186
Replace Sung Keun Park with:
Sung Keun Park South Korea
Takao Kojima Japan
Anna Castiglione Italy
Ji Cheol Bae South Korea
Marco Calogero Amato Italy
Rishi Singhal United Kingdom
Dong‐Hyuk Jung South Korea
Ryuichi Kawamoto Japan
Chi‐Chih Hung Taiwan
Apoorva K. Chandar United States
Jiin Ahn relative to Sung Keun Park South Korea Sung Keun Park's profile →
Citations per field
00.5×1.5×1.8×
Sung Keun Park · 1×
Citations per year

Countries citing papers authored by Jiin Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jiin Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016238
2 2014216
3 2016165
4 2018126
5 2018124
6 201575
7 201567
8 201962
9 201860
10 201459
11 201758
12 201452
13 201950
14 202049
15 201549
16 201948
17 201948
18 201838
19 201935
20 201934

About Jiin Ahn

Jiin Ahn is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery and Pathology and Forensic Medicine, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Nutritional Studies and Diet (3 papers), Menopause: Health Impacts and Treatments (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Thyroid Disorders and Treatments (2 papers), Digital Radiography and Breast Imaging (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (396 citations), Nephrology (146 citations), Epidemiology (666 citations), Hepatology (134 citations) and Pathology and Forensic Medicine (186 citations). Jiin Ahn has collaborated with scholars based in South Korea, United States and Malaysia. Frequent co-authors include Yoosoo Chang, Seungho Ryu, Ho Cheol Shin, Kyung Eun Yun, Hyun Suk Jung, Juhee Cho, Yuni Choi, Eliseo Güallar, Yong Kyun Cho and Yiyi Zhang. Their work appears in journals such as Hepatology, International Journal of Cancer, Scientific Reports, The American Journal of Gastroenterology and Journal of Clinical Medicine.

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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