Veronica Chiang

15.2k citations
158 papers · 5.9k indexed · 1 hit paper · h-index 38

Impact in

Papers in

Veronica Chiang

152 papers receiving 5.8k citations

Hit Papers

Diagnosis-Specific Prognostic Factors, Indexes, and Treatment Outcomes for Patients With Newly Diagnosed Brain Metastases: A Multi-Institutional Analysis of 4,259 Patients 2009 · 748 citations
7482009202620142020200400600

Peers

Veronica Chiang
Comparison fields: 5 of 103
  • Genetics 2.4k
  • Pulmonary and Respiratory Medicine 4.2k
  • Oncology 2.8k
  • Neurology 782
  • Epidemiology 1.3k
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Citations per field
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Citations per year

Countries citing papers authored by Veronica Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diagnosis-Specific Prognostic Factors, Indexes, and Treatment Outcomes for Patients With Newly Diagnosed Brain Metastases: A Multi-Institutional Analysis of 4,259 Patients
Hit paper breakdown →
2009748
2 2012269
3 2015256
4 2018197
5 2015175
6 2018173
7 2015163
8 2016155
9 2013151
10 2002147
11 2017130
12 2018125
13 2013124
14 2011121
15 2013120
16 2019100
17 201698
18 201986
19 200083
20 201674

About Veronica Chiang

Veronica Chiang is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Oncology, Neurology and Epidemiology, having authored 158 papers that have together received 5.9k indexed citations. Recurring topics across this work include Brain Metastases and Treatment (108 papers), Glioma Diagnosis and Treatment (66 papers), Meningioma and schwannoma management (43 papers), Lung Cancer Research Studies (40 papers), Lung Cancer Treatments and Mutations (17 papers), Cancer Immunotherapy and Biomarkers (14 papers), Advanced Radiotherapy Techniques (11 papers) and Melanoma and MAPK Pathways (8 papers). The work is most often cited by research in Genetics (2.4k citations), Pulmonary and Respiratory Medicine (4.2k citations), Oncology (2.8k citations), Neurology (782 citations) and Epidemiology (1.3k citations). Veronica Chiang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include James B. Yu, Harriet M. Kluger, Jonathan Knisely, Sarah B. Goldberg, Mario Sznol, Paul D. Brown, Samuel T. Chao, Lucia B. Jilaveanu, Jack M. Qian and Jason P. Sheehan. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of neurosurgery, Journal of Neuro-Oncology, Neurosurgery and Journal of Clinical Oncology.

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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