Lauren Passby

1.6k citations
6 papers · 87 · h-index 3

Impact in

Papers in

    • Surgical Simulation and Training 1
    • Medicine and Dermatology Studies History 2

Lauren Passby

6 papers receiving 84 citations

Peers

Lauren Passby
Comparison fields: 5 of 21
  • Health Informatics 72
  • Family Practice 5
  • Radiology, Nuclear Medicine and Imaging 16
  • Artificial Intelligence 17
  • Health Information Management 2
Replace Sarah Haggenmüller with:
Sarah Haggenmüller Germany
Robert J. Gallo United States
Yazan Chaiah Saudi Arabia
Bryan Lim Philippines
Eddie Guo Canada
Golnoosh Ansari United States
Elaine Manna United Kingdom
Ashkan Eighaei Sedeh United States
Moustafa Laymouna Canada
Suhana Bedi United States
Lauren Passby relative to Sarah Haggenmüller Germany Sarah Haggenmüller's profile →
Citations per field
00.5×4.5×
Sarah Haggenmüller · 1×
Citations per year

Countries citing papers authored by Lauren Passby

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Passby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown

About Lauren Passby

Lauren Passby is a scholar working on Surgery, Dermatology, Oncology, Gender Studies and Cognitive Neuroscience, having authored 6 papers that have together received 87 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (2 papers), Medicine and Dermatology Studies History (2 papers), Diversity and Career in Medicine (2 papers), Genomics and Rare Diseases (1 paper), Surgical Simulation and Training (1 paper), BRCA gene mutations in cancer (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper) and Schizophrenia research and treatment (1 paper). The work is most often cited by research in Health Informatics (72 citations), Family Practice (5 citations), Radiology, Nuclear Medicine and Imaging (16 citations), Artificial Intelligence (17 citations) and Health Information Management (2 citations). Lauren Passby has collaborated with scholars based in United Kingdom, Australia and Singapore. Frequent co-authors include Aaron Wernham, Nathan Jenko, Simon Tso, Matthew R. Broome, Tamara Griffiths, Edel A. O’Toole, Neil Rajan, John A. McGrath, Ajoy Bardhan and Cathal O’Connor. Their work appears in journals such as Clinical and Experimental Dermatology, British Journal of Dermatology, Journal of the European Academy of Dermatology and Venereology and BJPsych Advances.

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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