Taekyu Hwang

2.8k total citations · 1 hit paper
8 papers, 2.1k citations indexed

About

Taekyu Hwang is a scholar working on Ophthalmology, Epidemiology and Cell Biology. According to data from OpenAlex, Taekyu Hwang has authored 8 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ophthalmology, 3 papers in Epidemiology and 3 papers in Cell Biology. Recurrent topics in Taekyu Hwang's work include melanin and skin pigmentation (3 papers), Ocular Oncology and Treatments (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Taekyu Hwang is often cited by papers focused on melanin and skin pigmentation (3 papers), Ocular Oncology and Treatments (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Taekyu Hwang collaborates with scholars based in United States and Vietnam. Taekyu Hwang's co-authors include M. Sigfrido Rangel‐Frausto, Didier Pittet, Charles S. Davis, Richard P. Wenzel, Michele Costigan, Robert F. Woolson, Robert Folberg, Volker Rummelt, Jacob Pe’er and Lynn M. Gruman and has published in prestigious journals such as JAMA, Clinical Infectious Diseases and Ophthalmology.

In The Last Decade

Taekyu Hwang

8 papers receiving 2.0k citations

Hit Papers

The Natural History of the Systemic Inflammatory Response... 1995 2026 2005 2015 1995 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Natural History of the Systemic Inflammatory Response Syndrome (SIRS)
    1995 1.5k citations M. Sigfrido Rangel‐Frausto, Didier Pittet et al. JAMA profile →

Peers

Taekyu Hwang
Matthew S. Johnson United States
Kathleen To United States
F. E. Preston United Kingdom
Stefanie W. Benoit United States
Arno Vanstapel Belgium
Peter Hellstern Germany
Pia Clara Pafundi Italy
Bernard Uzzan France
Brian Warren South Africa
A Baumelou France
Matthew S. Johnson United States
Taekyu Hwang
Citations per year, relative to Taekyu Hwang Taekyu Hwang (= 1×) peers Matthew S. Johnson

Countries citing papers authored by Taekyu Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Taekyu Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taekyu Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Taekyu Hwang. A scholar is included among the top collaborators of Taekyu 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 Taekyu Hwang. Taekyu Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Rangel‐Frausto, M. Sigfrido, Didier Pittet, Taekyu Hwang, Robert F. Woolson, & R P Wenzel. (1998). The Dynamics of Disease Progression in Sepsis: Markov Modeling Describing the Natural History and the Likely Impact of Effective Antisepsis Agents. Clinical Infectious Diseases. 27(1). 185–190. 54 indexed citations
2.
Mehaffey, Mary G., Robert Folberg, Margaret L. Meyer, et al.. (1997). Relative Importance of Quantifying Area and Vascular Patterns in Uveal Melanomas. American Journal of Ophthalmology. 123(6). 798–809. 31 indexed citations
3.
Perl, Trish M., et al.. (1996). Long-Term Survival and Function After Suspected Gram-Negative Sepsis. Survey of Anesthesiology. 40(4). 207–207. 6 indexed citations
4.
Rummelt, Volker, Robert Folberg, Robert F. Woolson, Taekyu Hwang, & Jacob Pe’er. (1995). Relation between the Microcirculation Architecture and the Aggressive Behavior of Ciliary Body Melanomas. Ophthalmology. 102(5). 844–851. 70 indexed citations
5.
Rangel‐Frausto, M. Sigfrido, Didier Pittet, Michele Costigan, et al.. (1995). The Natural History of the Systemic Inflammatory Response Syndrome (SIRS). JAMA. 273(2). 117–117. 1471 indexed citations breakdown →
6.
Pe’er, Jacob, Volker Rummelt, Louise A. Mawn, et al.. (1994). Mean of the Ten Largest Nucleoli, Microcirculation Architecture, and Prognosis of Cochoroidal Melanomas. Ophthalmology. 101(7). 1227–1235. 45 indexed citations
7.
Rummelt, Volker, Robert Folberg, C. Rummelt, et al.. (1994). Microcirculation Architecture of Melanocytic Nevi and Malignant Melanomas of the Ciliary Body and Choroid. Ophthalmology. 101(4). 718–727. 65 indexed citations
8.
Folberg, Robert, Volker Rummelt, R. Parys-Van Ginderdeuren, et al.. (1993). The Prognostic Value of Tumor Blood Vessel Morphology in Primary Uveal Melanoma. Ophthalmology. 100(9). 1389–1398. 317 indexed citations

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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