Tae Ho Hwang

652 total citations
24 papers, 531 citations indexed

About

Tae Ho Hwang is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Tae Ho Hwang has authored 24 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Genetics. Recurrent topics in Tae Ho Hwang's work include Virus-based gene therapy research (5 papers), Ion channel regulation and function (4 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). Tae Ho Hwang is often cited by papers focused on Virus-based gene therapy research (5 papers), Ion channel regulation and function (4 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). Tae Ho Hwang collaborates with scholars based in South Korea, United States and India. Tae Ho Hwang's co-authors include Erik M. Schwiebert, William B. Guggino, Stephen C. Schmechel, Anette Hauge, Yi Li, Kevin A.T. Silverstein, R L Vessella, Scott M. Dehm, Betsy Hirsch and LeAnn Oseth and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Journal of Hepatology.

In The Last Decade

Tae Ho Hwang

24 papers receiving 524 citations

Peers

Tae Ho Hwang
Comparison fields: 5 of 75
  • Molecular Biology 237
  • Pulmonary and Respiratory Medicine 233
  • Genetics 94
  • Oncology 90
  • Cancer Research 87
Replace Mallory L. West with:
Mallory L. West United States
Jean‐Jacques Cassiman Belgium
S R Plymate United States
Antti Kyrönlahti Finland
Huan-Ming Hsu Taiwan
Tianbo Jin China
Thomas Tawadros Switzerland
Janielle P. Maynard United States
Noora Andersson Finland
Maria De Angioletti Italy
Mallory L. West United States View profile →
Citations per field, relative to Tae Ho Hwang
Tae Ho Hwang · 1×
Citations per year, relative to Tae Ho Hwang
Tae Ho Hwang · 1×

Countries citing papers authored by Tae Ho Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Tae Ho Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae Ho Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Ho Hwang. A scholar is included among the top collaborators of Tae Ho 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 Tae Ho Hwang. Tae Ho 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 2
2 24
3 2
4 9
5 11
6 1
7 18
8 4
9 157
10 26
11 1
12 26
13
Vaccinia virus and oncolytic virotherapy of cancer.
43
14 24
15 5
16 47
17 102
18 4
19 3
20 2

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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