Hannah Shucard

630 total citations · 1 hit paper
22 papers, 364 citations indexed

About

Hannah Shucard is a scholar working on Oncology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Hannah Shucard has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Artificial Intelligence and 6 papers in General Health Professions. Recurrent topics in Hannah Shucard's work include Cutaneous Melanoma Detection and Management (9 papers), AI in cancer detection (7 papers) and Radiology practices and education (5 papers). Hannah Shucard is often cited by papers focused on Cutaneous Melanoma Detection and Management (9 papers), AI in cancer detection (7 papers) and Radiology practices and education (5 papers). Hannah Shucard collaborates with scholars based in United States, France and Israel. Hannah Shucard's co-authors include Joann G. Elmore, Kathleen F. Kerr, Jan Walker, Sara L. Jackson, Thomas H. Payne, Suzanne G. Leveille, Patricia Fitzgerald, Zhiyong Dong, Kendall Harcourt and Tom Delbanco and has published in prestigious journals such as PLoS ONE, Cancer and Journal of the American Academy of Dermatology.

In The Last Decade

Hannah Shucard

21 papers receiving 360 citations

Hit Papers

OpenNotes After 7 Years: Patient Experiences With Ongoing... 2019 2026 2021 2023 2019 50 100 150

Peers

Hannah Shucard
Comparison fields: 5 of 76
  • General Health Professions 161
  • Health Information Management 112
  • Public Health, Environmental and Occupational Health 94
  • Organizational Behavior and Human Resource Management 79
  • Oncology 73
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Citations per field, relative to Hannah Shucard
Hannah Shucard · 1×
Citations per year, relative to Hannah Shucard
Hannah Shucard · 1×

Countries citing papers authored by Hannah Shucard

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Shucard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Shucard

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Shucard. A scholar is included among the top collaborators of Hannah Shucard 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 Hannah Shucard. Hannah Shucard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 9
3 3
4 1
5 4
6 9
7 6
8 8
9 18
10 7
11 8
12 3
13 6
14 8
15 19
16 6
17 7
18
OpenNotes After 7 Years: Patient Experiences With Ongoing Access to Their Clinicians’ Outpatient Visit Notes breakdown →
197
19 32
20 7

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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