Elisa Chan

883 citations
26 papers · 516 · h-index 13

Impact in

Papers in

Elisa Chan

24 papers receiving 506 citations

Peers

Elisa Chan
Comparison fields: 5 of 65
  • Radiation 91
  • Pulmonary and Respiratory Medicine 177
  • Cancer Research 83
  • Hepatology 36
  • Radiology, Nuclear Medicine and Imaging 65
Replace Anthony J. Paravati with:
Anthony J. Paravati United States
Bethany Anderson United States
P. Dickinson United Kingdom
I. Kindts Belgium
Peter-Paul van der Toorn Netherlands
George M. Cannon United States
Samir Abdallah Hanna Brazil
Sunil W. Dutta United States
Ji Hyeon Joo South Korea
Aurélie Garant United States
Elisa Chan relative to Anthony J. Paravati United States Anthony J. Paravati's profile →
Citations per field
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Anthony J. Paravati · 1×
Citations per year

Countries citing papers authored by Elisa Chan

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007126
2 201450
3 200648
4 201447
5 201038
6
Calibrating Non-Probability Internet Samples with Probability Samples Using Early Adopter Characteristics
201134
7 201330
8 201726
9 202126
10 201420
11 201415
12 201413
13 201213
14 20176
15 20214
16 20144
17 20243
18 20223
19 20212
20 20222

About Elisa Chan

Elisa Chan is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cancer Research, Oncology and Surgery, having authored 26 papers that have together received 516 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Effects of Radiation Exposure (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Global Cancer Incidence and Screening (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), DNA Repair Mechanisms (1 paper), Advanced Radiotherapy Techniques (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Radiation (91 citations), Pulmonary and Respiratory Medicine (177 citations), Cancer Research (83 citations), Hepatology (36 citations) and Radiology, Nuclear Medicine and Imaging (65 citations). Elisa Chan has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Alan Nichol, Mary Gospodarowicz, Scott Tyldesley, Caroline Speers, Charles DiSogra, James Dennis, Andrew Kneebone, Joanne Moseley, Peter Chung and Cynthia Ménard. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, European Respiratory Journal, Advances in Radiation Oncology and Journal of Medical Screening.

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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