Sung‐Oh Huh

2.9k total citations
77 papers, 2.3k citations indexed

About

Sung‐Oh Huh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sung‐Oh Huh has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 11 papers in Neurology. Recurrent topics in Sung‐Oh Huh's work include Sphingolipid Metabolism and Signaling (11 papers), Cell death mechanisms and regulation (10 papers) and Neuroblastoma Research and Treatments (8 papers). Sung‐Oh Huh is often cited by papers focused on Sphingolipid Metabolism and Signaling (11 papers), Cell death mechanisms and regulation (10 papers) and Neuroblastoma Research and Treatments (8 papers). Sung‐Oh Huh collaborates with scholars based in South Korea, United States and China. Sung‐Oh Huh's co-authors include Hong‐Won Suh, Victor Hatini, Dong‐Keun Song, Doris Herzlinger, Vittor Cândido Soares, Edmund Lai, Md. Ataur Rahman, Kausik Bishayee, Yung‐Hi Kim and Jae‐Young Cho and has published in prestigious journals such as Nature Medicine, Genes & Development and Molecular and Cellular Biology.

In The Last Decade

Sung‐Oh Huh

75 papers receiving 2.3k citations

Peers

Sung‐Oh Huh
Comparison fields: 5 of 114
  • Molecular Biology 1.4k
  • Physiology 381
  • Cellular and Molecular Neuroscience 216
  • Pharmacology 202
  • Pulmonary and Respiratory Medicine 202
Dae‐Kyu Song South Korea
Mohammad Soukhtanloo Iran
Kyung‐Jong Won South Korea
Haiyan Lou China
Le Yang China
Weiwei Ma China
Shih‐Ching Lo United States
Wanjoo Chun South Korea
Yasuko Kitagishi Japan
Dae‐Kyu Song South Korea View profile →
Citations per field, relative to Sung‐Oh Huh
Sung‐Oh Huh · 1×
Citations per year, relative to Sung‐Oh Huh
Sung‐Oh Huh · 1×

Countries citing papers authored by Sung‐Oh Huh

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Oh Huh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Oh Huh. 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 Sung‐Oh Huh. The network helps show where Sung‐Oh Huh may publish in the future.

Co-authorship network of co-authors of Sung‐Oh Huh

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Oh Huh. A scholar is included among the top collaborators of Sung‐Oh Huh 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 Sung‐Oh Huh. Sung‐Oh Huh 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 1
2 1
3 12
4 5
5 12
6 7
7 2
8 6
9 27
10 45
11 14
12 17
13 11
14 159
15 10
16 7
17 16
18 30
19 99
20 0

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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