Katherine Shi

463 citations
12 papers · 324 indexed · h-index 9
Topics
Cutaneous Melanoma Detection and Management (8 papers)Melanoma and MAPK Pathways (4 papers)Immunotherapy and Immune Responses (2 papers)
Partner nations
United States

In The Last Decade

Katherine Shi

12 papers receiving 322 citations

Peers

Katherine Shi
Comparison fields: 5 of 41
  • Oncology 195
  • Molecular Biology 164
  • Cancer Research 71
  • Dermatology 65
  • Immunology and Allergy 51
Replace Lauren S. Mohan with:
Lauren S. Mohan United States
Erin M. Garfield United States
Derek Maetzold United States
Rita G Ladstein Norway
Jeff Wilkinson United States
Johanne Lade‐Keller Denmark
Henriette Christgen Germany
Annelies Klaasen Netherlands
Aleksander Sekulic United States
Florian Schenck Germany
Katherine Shi relative to Lauren S. Mohan United States Lauren S. Mohan's profile →
Citations per field
00.5×4.3×
Lauren S. Mohan · 1×
Citations per year

Countries citing papers authored by Katherine Shi

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Shi

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1
Predicting Unplanned 7-day Intensive Care Unit Readmissions with Machine Learning Models for Improved Discharge Risk Assessment.
6
2 60
3 3
4 4
5 49
6 33
7 18
8 40
9 37
10 45
11 19
12 10

About Katherine Shi

Katherine Shi is a scholar working on Immunology and Allergy, Dermatology and Oncology, having authored 12 papers that have together received 324 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (8 papers), Melanoma and MAPK Pathways (4 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology and Allergy (51 citations), Dermatology (65 citations) and Oncology (195 citations). Katherine Shi has collaborated with scholars based in United States. Frequent co-authors include Lauren S. Mohan, Bin Zhang, Pedram Gerami, Victor L. Quan, Peter Lio, Kevin P. White, Timothy Taxter, Nike Beaubier, Gaurav Agnihotri and Maria C. Isales. Their work appears in journals such as Journal of Investigative Dermatology, The American Journal of Surgical Pathology and Journal of the American Academy of Dermatology.

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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