Eileen Pan

584 citations
3 papers · 210 indexed · 1 hit paper · h-index 3

Impact in

Papers in

Eileen Pan

3 papers receiving 202 citations

Hit Papers

What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams 2021 · 205 citations
205202120262022202450100150200

Peers

Eileen Pan
Comparison fields: 5 of 47
  • Health Informatics 90
  • Family Practice 11
  • Artificial Intelligence 140
  • Health Information Management 12
  • Radiology, Nuclear Medicine and Imaging 32
Replace Nassim Oufattole with:
Nassim Oufattole United States
Asad Aali United States
Cara Van Uden United States
Ruilong Dan China
Hunter Lang United States
Jean-Benoit Delbrouck United States
Shirly Wang Canada
Valentin Liévin Denmark
Yin‐Hsi Chang Taiwan
Mehul Gupta Canada
Eileen Pan relative to Nassim Oufattole United States Nassim Oufattole's profile →
Citations per field
00.5×1.5×
Nassim Oufattole · 1×
Citations per year

Countries citing papers authored by Eileen Pan

Since Specialization
Citations

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

Fields of papers citing papers by Eileen Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Eileen Pan, 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 Eileen Pan Line = papers co-authored together Eileen Pan links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams
Hit paper breakdown →
2021205
2 20233
3 20252

About Eileen Pan

Eileen Pan is a scholar working on Health Informatics, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health, having authored 3 papers that have together received 210 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (1 paper), Pregnancy and preeclampsia studies (1 paper), Ethics in Clinical Research (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), Neonatal and fetal brain pathology (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (90 citations), Family Practice (11 citations), Artificial Intelligence (140 citations), Health Information Management (12 citations) and Radiology, Nuclear Medicine and Imaging (32 citations). Eileen Pan has collaborated with scholars based in United States and China. Frequent co-authors include Nassim Oufattole, Wei‐Hung Weng, Peter Szolovits, Hanyi Fang, Di Jin, Marzyeh Ghassemi, Sean I. Young, P. Ellen Grant, Polina Golland and Esra Abacı Türk. Their work appears in journals such as Applied Sciences and PubMed.

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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