Alexander Pan

433 citations
14 papers · 267 indexed · h-index 7
Topics
Misinformation and Its Impacts (3 papers)Artificial Intelligence in Healthcare and Education (3 papers)Health Literacy and Information Accessibility (3 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Alexander Pan

13 papers receiving 266 citations

Peers

Alexander Pan
Comparison fields: 5 of 60
  • Health Informatics 156
  • General Health Professions 78
  • Artificial Intelligence 74
  • Radiology, Nuclear Medicine and Imaging 59
  • Surgery 25
Replace Michael Eppler with:
Michael Eppler United States
Bryan Lim Australia
Isabel Herzog United States
Stuart Abel United States
Rohun Gupta United States
Nithya Rajeev United States
Jevan Cevik Australia
Judy Birch United Kingdom
Shawheen J. Rezaei United States
Alexander Pan relative to Michael Eppler United States Michael Eppler's profile →
Citations per field
00.5×1.5×
Michael Eppler · 1×
Citations per year

Countries citing papers authored by Alexander Pan

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Pan. A scholar is included among the top collaborators of Alexander Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Pan. Alexander Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 8
2 0
3 8
4 2
5 9
6 1
7 10
8 65
9 141
10 2
11 5
12 5
13 1
14 10

About Alexander Pan

Alexander Pan is a scholar working on Health Informatics, Urology and Dermatology, having authored 14 papers that have together received 267 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Health Literacy and Information Accessibility (3 papers). The work is most often cited by research in Health Informatics (156 citations), Family Practice (7 citations) and General Health Professions (78 citations). Alexander Pan has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Abdo Kabarriti, David Musheyev, Stacy Loeb, Robert Hong, Ramy A. Badawi, David J. G. Fergusson, James F. Borin, Lukas Kraehenbuehl, Ayca Gucalp and Shari Goldfarb. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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