Eugene Hwang

3.8k citations
58 papers · 1.3k · h-index 19

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
  • Neurology top 5%
    • Neuroblastoma Research and Treatments
    • Neurofibromatosis and Schwannoma Cases

Papers in

    • Glioma Diagnosis and Treatment 43
    • Neuroblastoma Research and Treatments 20
    • Neurofibromatosis and Schwannoma Cases 2

Eugene Hwang

53 papers receiving 1.3k citations

Peers

Eugene Hwang
Comparison fields: 5 of 75
  • Genetics 562
  • Neurology 310
  • Cancer Research 170
  • Oncology 288
  • Immunology 213
Replace Alberto Franzin with:
Alberto Franzin Italy
Mariarita Santi United States
Sarah Leary United States
Pratiti Bandopadhayay United States
Sam Haidar United States
Agustí Alentorn France
Dominik Sturm Germany
Carl Koschmann United States
Ulf Nestler Germany
Priya Kumthekar United States
Eugene Hwang relative to Alberto Franzin Italy Alberto Franzin's profile →
Citations per field
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Alberto Franzin · 1×
Citations per year

Countries citing papers authored by Eugene Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eugene 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 Eugene Hwang Line = papers co-authored together Eugene Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018185
2 2018128
3 2012103
4 202182
5 201378
6 201271
7 201448
8 201646
9 201545
10 202042
11 202237
12 201932
13 201330
14 202230
15 202129
16 201927
17 201224
18 201623
19 201620
20 202318

About Eugene Hwang

Eugene Hwang is a scholar working on Genetics, Neurology, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (43 papers), Neuroblastoma Research and Treatments (20 papers), Hedgehog Signaling Pathway Studies (5 papers), CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neurofibromatosis and Schwannoma Cases (2 papers), T-cell and B-cell Immunology (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Genetics (562 citations), Neurology (310 citations), Cancer Research (170 citations), Oncology (288 citations) and Immunology (213 citations). Eugene Hwang has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Roger J. Packer, Lindsay Kilburn, Regina I. Jakacki, Javad Nazarian, Brian R. Rood, Robert A. Avery, Sridevi Yadavilli, Gilbert Vézina, Michael J. Fisher and Suresh N. Magge. Their work appears in journals such as Neuro-Oncology, Pediatric Blood & Cancer, Journal of Neuro-Oncology, Journal of Child Neurology and JAMA Ophthalmology.

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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