Sang‐Ah Chang

796 total citations
28 papers, 570 citations indexed

About

Sang‐Ah Chang is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, Sang‐Ah Chang has authored 28 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Epidemiology and 6 papers in Physiology. Recurrent topics in Sang‐Ah Chang's work include Diabetes Management and Research (4 papers), Diabetes Management and Education (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Sang‐Ah Chang is often cited by papers focused on Diabetes Management and Research (4 papers), Diabetes Management and Education (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Sang‐Ah Chang collaborates with scholars based in South Korea, United States and Switzerland. Sang‐Ah Chang's co-authors include Bong‐Yun Cha, Kun‐Ho Yoon, Jae‐Hyoung Cho, Ho‐Young Son, Hyuk‐Sang Kwon, Won‐Chul Lee, Hee‐Seung Kim, Seung‐Hyun Ko, Jung‐Min Lee and Hyun-Shik Son and has published in prestigious journals such as PLoS ONE, Diabetes Care and Scientific Reports.

In The Last Decade

Sang‐Ah Chang

24 papers receiving 544 citations

Peers

Sang‐Ah Chang
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 328
  • General Health Professions 180
  • Epidemiology 97
  • Cardiology and Cardiovascular Medicine 59
  • Surgery 52
Replace Jongoh Kim with:
Jongoh Kim United States
Sudhaa Sharma India
N. Siseles Argentina
Rafael Gabriel Sánchez Spain
Ana Cristina García-Ulloa Mexico
Yaxin Lai China
Lisa Swartz Topor United States
Lourdes Basurto Mexico
Magdalena Sevilla-González United States
Richard A. Dickey United States
Jongoh Kim United States View profile →
Citations per field, relative to Sang‐Ah Chang
Sang‐Ah Chang · 1×
Citations per year, relative to Sang‐Ah Chang
Sang‐Ah Chang · 1×

Countries citing papers authored by Sang‐Ah Chang

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Ah Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Ah Chang. 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‐Ah Chang. The network helps show where Sang‐Ah Chang may publish in the future.

Co-authorship network of co-authors of Sang‐Ah Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Ah Chang. A scholar is included among the top collaborators of Sang‐Ah Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sang‐Ah Chang. Sang‐Ah Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 0
5 3
6 4
7 4
8 1
9 6
10 11
11 27
12 6
13 12
14 7
15 2
16 10
17 45
18 7
19 23
20 53

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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