Lee Hwang

830 citations
19 papers · 657 · h-index 14

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • Management of metastatic bone disease 2
    • Spinal Fractures and Fixation Techniques 2
    • Glioma Diagnosis and Treatment 4

Lee Hwang

19 papers receiving 650 citations

Peers

Lee Hwang
Comparison fields: 5 of 65
  • Genetics 128
  • Biomaterials 112
  • Surgery 171
  • Molecular Medicine 19
  • Pathology and Forensic Medicine 60
Replace Mario Barilani with:
Mario Barilani Italy
Yunli Shen China
Jürgen Mollenhauer Germany
Violette Renard Recinos United States
Maya Srikanth United States
Wenzheng Xia China
Hannah A. Strobel United States
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Cicely A. Williams United States
Lee Hwang relative to Mario Barilani Italy Mario Barilani's profile →
Citations per field
00.5×
Mario Barilani · 1×
Citations per year

Countries citing papers authored by Lee Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Lee Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lee Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lee Hwang Line = papers co-authored together Lee Hwang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013114
2 201591
3 201276
4 201451
5 201340
6 202040
7 201339
8 201332
9 201729
10 202024
11 201323
12 201323
13 201322
14 201421
15 201413
16 20119
17 20148
18 20101
19 20171

About Lee Hwang

Lee Hwang is a scholar working on Surgery, Genetics, Pulmonary and Respiratory Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 19 papers that have together received 657 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Management of metastatic bone disease (2 papers), Brain Metastases and Treatment (2 papers), Spinal Fractures and Fixation Techniques (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (128 citations), Biomaterials (112 citations), Surgery (171 citations), Molecular Medicine (19 citations) and Pathology and Forensic Medicine (60 citations). Lee Hwang has collaborated with scholars based in United States and Canada. Frequent co-authors include Betty Tyler, Henry Brem, Ali Bydon, Timothy F. Witham, Ziya L. Gokaslan, Daniel M. Sciubba, Jean‐Paul Wolinsky, David R. Santiago-Dieppa, Antonella Mangraviti and Mohamad Bydon. Their work appears in journals such as Journal of neurosurgery, Journal of Neuro-Oncology, Neuro-Oncology Advances, World Neurosurgery and Biomaterials.

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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