In‐Hwan Song

1.8k citations
57 papers · 1.5k indexed · h-index 19
Topics
Bone Tissue Engineering Materials (11 papers)Mesenchymal stem cell research (10 papers)Dental Implant Techniques and Outcomes (8 papers)
Partner nations
South KoreaUnited States

In The Last Decade

In‐Hwan Song

56 papers receiving 1.5k citations

Peers

In‐Hwan Song
Comparison fields: 5 of 115
  • Molecular Biology 696
  • Cancer Research 211
  • Genetics 204
  • Physiology 201
  • Surgery 189
Replace Young‐Sool Hah with:
Young‐Sool Hah South Korea
B. Caramés Spain
Chen Cui China
John C. Schell United States
Eri Iwai‐Kanai Japan
Sander Grefte Netherlands
Chenxia Hu China
Yun‐Sil Lee South Korea
Haibin Wang China
Hamid Rezvani France
In‐Hwan Song relative to Young‐Sool Hah South Korea Young‐Sool Hah's profile →
Citations per field
00.5×1.5×
Young‐Sool Hah · 1×
Citations per year

Countries citing papers authored by In‐Hwan Song

Since Specialization
Citations

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

Fields of papers citing papers by In‐Hwan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of In‐Hwan Song

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Hwan Song. A scholar is included among the top collaborators of In‐Hwan 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 In‐Hwan Song. In‐Hwan 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 6
2 8
3 3
4 3
5 22
6 26
7 13
8 7
9 21
10 36
11 8
12 3
13 1
14 19
15 44
16 9
17 100
18
Effect of Leptin on the expression of lipopolysaccharide-induced chemokine KC mRNA in the mouse peritoneal macrophages
1
19
Studies on Microbiological and Chemical Characteristics of Gamma-Irradiated Soybean Powder
1
20 457

About In‐Hwan Song

In‐Hwan Song is a scholar working on Oral Surgery, Genetics and Aging, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (11 papers), Mesenchymal stem cell research (10 papers) and Dental Implant Techniques and Outcomes (8 papers). The work is most often cited by research in Aging (44 citations), Urology (127 citations) and Genetics (204 citations). In‐Hwan Song has collaborated with scholars based in South Korea and United States. Frequent co-authors include James E. Dennis, Eon‐Gi Sung, Arnold I. Caplan, Jeen‐Woo Park, Kyu‐Shik Jeong, Won Bae Kim, Young Sup Lee, Yong‐Ou Kim, Byoung J. Song and Seung‐Hee Jo. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

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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