Su Jin Hwang

1.1k total citations
33 papers, 858 citations indexed

About

Su Jin Hwang is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Su Jin Hwang has authored 33 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Cancer Research. Recurrent topics in Su Jin Hwang's work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Hereditary Neurological Disorders (4 papers). Su Jin Hwang is often cited by papers focused on MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Hereditary Neurological Disorders (4 papers). Su Jin Hwang collaborates with scholars based in South Korea, Ethiopia and United States. Su Jin Hwang's co-authors include Hyeon Ho Kim, Doo Hyun Chung, Do‐Hyun Nam, Myriam Gorospe, Chang Hoon Shin, Hye Ree Kim, Jae Myun Lee, Hye‐Ran Cha, Hong Lee and Kyung-Min Choi and has published in prestigious journals such as The Journal of Immunology, Molecular and Cellular Biology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Su Jin Hwang

32 papers receiving 843 citations

Peers

Su Jin Hwang
Comparison fields: 5 of 98
  • Molecular Biology 411
  • Cancer Research 218
  • Immunology 159
  • Cellular and Molecular Neuroscience 105
  • Pulmonary and Respiratory Medicine 93
Replace Kenneth J. Mandell with:
Kenneth J. Mandell United States
Cristiane Damas Gil Brazil
Yongbin Ma China
T Ikeuchi Japan
Jing‐Jing Jiang Japan
Kara Scheibner United States
Guangchao Xu China
Shahram Teimourian Iran
Fubing Li China
David Y. Chin Australia
Kenneth J. Mandell United States View profile →
Citations per field, relative to Su Jin Hwang
Su Jin Hwang · 1×
Citations per year, relative to Su Jin Hwang
Su Jin Hwang · 1×

Countries citing papers authored by Su Jin Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Su Jin Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Jin Hwang. 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 Su Jin Hwang. The network helps show where Su Jin Hwang may publish in the future.

Co-authorship network of co-authors of Su Jin Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Su Jin Hwang. A scholar is included among the top collaborators of Su Jin Hwang 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 Su Jin Hwang. Su Jin Hwang 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 16
3 31
4 48
5 32
6 21
7 37
8 38
9 46
10 24
11 55
12 104
13 9
14 10
15
Intrarater and Interrater Reliability of the Dynamic Gait Index in Persons With Parkinson`s Disease
2
16 9
17 28
18 9
19 44
20 43

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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