In‐Sook Ahn

828 citations
22 papers · 657 · h-index 10

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 5
    • Retinoids in leukemia and cellular processes 2
    • Bioactive natural compounds 2

In‐Sook Ahn

20 papers receiving 639 citations

Peers

In‐Sook Ahn
Comparison fields: 5 of 93
  • Biochemistry 100
  • Pharmacology 148
  • Pharmacology 61
  • Nutrition and Dietetics 73
  • Endocrinology, Diabetes and Metabolism 74
Replace Robbie Yat‐Kan Chan with:
Robbie Yat‐Kan Chan Hong Kong
Sang Eun Ha South Korea
Hongmei Jiang China
Gyeong Eun Hong South Korea
Sung Hee Kim South Korea
Dezheng Gong China
Yinan Zheng China
Joo‐Hui Han South Korea
Angela Ladurner Austria
Guilherme Ribeiro Romualdo Brazil
In‐Sook Ahn relative to Robbie Yat‐Kan Chan Hong Kong Robbie Yat‐Kan Chan's profile →
Citations per field
00.5×1.5×2.4×
Robbie Yat‐Kan Chan · 1×
Citations per year

Countries citing papers authored by In‐Sook Ahn

Since Specialization
Citations

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

Fields of papers citing papers by In‐Sook Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006149
2 2007135
3 2011122
4 202387
5 200649
6 200623
7 200721
8 200915
9 202111
10 20069
11 20048
12 20046
13 20075
14 20074
15 20224
16 20103
17 20032
18 20041
19 20151
20 20201

About In‐Sook Ahn

In‐Sook Ahn is a scholar working on Epidemiology, Molecular Biology, Physiology, Nutrition and Dietetics and Pharmacology, having authored 22 papers that have together received 657 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (3 papers), Fatty Acid Research and Health (2 papers), Retinoids in leukemia and cellular processes (2 papers), Bioactive natural compounds (2 papers), Phytoestrogen effects and research (2 papers) and Phytochemicals and Antioxidant Activities (2 papers). The work is most often cited by research in Biochemistry (100 citations), Pharmacology (148 citations), Pharmacology (61 citations), Nutrition and Dietetics (73 citations) and Endocrinology, Diabetes and Metabolism (74 citations). In‐Sook Ahn has collaborated with scholars based in South Korea and United States. Frequent co-authors include Myoung‐Sool Do, Kun-Young Park, Jinju Han, Yu‐Hee Kim, Chang‐Suk Kong, Ji-Won Park, So Young Lee, Hae‐Young Chung, Trevan Fischer and K.E. Behrns. Their work appears in journals such as Experimental & Molecular Medicine, The FASEB Journal, Journal of Nanoscience and Nanotechnology, Molecular Psychiatry and Design Principles and Practices An International Journal—Annual Review.

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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