Sang‐In Park

1.4k citations
56 papers · 1.0k indexed · h-index 19
Topics
Mesenchymal stem cell research (9 papers)Influenza Virus Research Studies (4 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchScientific Reports

In The Last Decade

Sang‐In Park

49 papers receiving 997 citations

Peers

Sang‐In Park
Comparison fields: 5 of 110
  • Molecular Biology 410
  • Genetics 302
  • Cellular and Molecular Neuroscience 162
  • Developmental Neuroscience 123
  • Surgery 116
Replace Indrani Datta with:
Indrani Datta United States
Jun Shimizu Japan
Johannes F. W. Greiner Germany
Liguo Zhang China
Xiangrong Chen China
Carla Martins Kaneto Brazil
Randolph Corteling United Kingdom
Baohui Liu China
Fu Han China
Sofia C. Serra Portugal
Sang‐In Park relative to Indrani Datta United States Indrani Datta's profile →
Citations per field
00.5×1.6×
Indrani Datta · 1×
Citations per year

Countries citing papers authored by Sang‐In Park

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐In Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang‐In Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐In Park. A scholar is included among the top collaborators of Sang‐In Park 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‐In Park. Sang‐In Park 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 0
3 2
4 15
5 4
6 21
7 9
8 7
9 17
10 13
11 11
12 7
13 13
14 34
15 37
16
Identification and Estimation of Multinomial Choice Models
1
17 139
18 24
19
A Quantitative Analysis of Economies of Scale in the Water Industry in Korea
0
20 1

About Sang‐In Park

Sang‐In Park is a scholar working on Genetics, Developmental Neuroscience and Biochemistry, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Influenza Virus Research Studies (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (123 citations), Genetics (302 citations) and Cellular and Molecular Neuroscience (162 citations). Sang‐In Park has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Sin‐Soo Jeun, Chang Hyun Jeong, Jung Yeon Lim, Seong Muk Kim, Wonil Oh, Ji Hyeon Oh, Jin Ae Jun, Sang‐Hoon Park, Young‐Chul Sung and Moonsup Jeong. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

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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