Ki‐Ho Song

5.3k citations
144 papers · 4.1k indexed · 1 hit paper · h-index 35
Topics
Pancreatic function and diabetes (33 papers)Diabetes Management and Research (30 papers)Diabetes Treatment and Management (21 papers)

In The Last Decade

Ki‐Ho Song

133 papers receiving 4.0k citations

Hit Papers

In vitro cultivation of human islets from expanded ductal...20002026200820172000250500750

Peers

Ki‐Ho Song
Comparison fields: 5 of 140
  • Surgery 1.9k
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Molecular Biology 934
  • Genetics 861
  • Physiology 697
Replace Xiaojing Ma with:
Xiaojing Ma China
Maria Gisella Cavallo Italy
Silvia Manfrini Italy
Masanobu Kawakami Japan
Kyung Rae Kim South Korea
Junxi Lu China
Susan V. McLennan Australia
Yangang Wang China
Leif Jansson Sweden
Masahide Hamaguchi Japan
Ki‐Ho Song relative to Xiaojing Ma China Xiaojing Ma's profile →
Citations per field
00.5×2.7×
Xiaojing Ma · 1×
Citations per year

Countries citing papers authored by Ki‐Ho Song

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Ho Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki‐Ho Song. 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 Ki‐Ho Song. The network helps show where Ki‐Ho Song may publish in the future.

Co-authorship network of co-authors of Ki‐Ho Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ki‐Ho Song. A scholar is included among the top collaborators of Ki‐Ho Song 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 Ki‐Ho Song. Ki‐Ho Song 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
#WorkIndexed citations
1 0
2 1
3 5
4 1
5 4
6 4
7 2
8 6
9 55
10 46
11 70
12 26
13 12
14 35
15 12
16 24
17
A case of transfusion-associated hemochromatosis involving multiple organs
2
18 46
19
A Preliminary Study on Depressive Symptoms and Glycemic Controls in Diabetic Patients
1
20
Media design factors for fixed-bed filters
19

About Ki‐Ho Song

Ki‐Ho Song is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Nephrology, having authored 144 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (33 papers), Diabetes Management and Research (30 papers) and Diabetes Treatment and Management (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Surgery (1.9k citations) and Genetics (861 citations). Ki‐Ho Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyuk‐Sang Kwon, Susan Bonner‐Weir, Gordon C. Weir, Seung‐Hyun Ko, Mee Kyoung Kim, Arun Sharma, Yu‐Bae Ahn, Monica Taneja, John J. O’Neil and Krystyna Tatarkiewicz. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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