Christina Williamson

1.9k citations
25 papers · 979 indexed · h-index 13

Christina Williamson

25 papers receiving 967 citations

Peers

Christina Williamson
Comparison fields: 5 of 80
  • Immunology 208
  • Pathology and Forensic Medicine 155
  • Cancer Research 122
  • Molecular Biology 534
  • Oncology 189
Replace Ronald A. Ghossein with:
Ronald A. Ghossein United States
Susanna V. Ulahannan United States
Hidekatsu Nakai Japan
Brian S. Henick United States
Magdalena Chechlińska Poland
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Sung‐Im Do South Korea
Kyung Han Nam South Korea
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Tae Sung Ahn South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Christina Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Christina Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Christina Williamson, 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 Christina Williamson Line = papers co-authored together Christina Williamson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 202111
3 202011
4 202011
5 202052
6 201960
7 201747
8 2017185
9 201711
10 2016217
11 20166
12 20157
13 201525
14 2015146
15 201526
16
Tumor cells are dislodged into the pulmonary vein during lobectomy
20149
17 201421
18 20148
19 201425
20
Breast cancer information needs and seeking: Towards an intelligent, user sensitive portal to breast cancer knowledge
20024

About Christina Williamson

Christina Williamson is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 25 papers that have together received 979 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (9 papers), Lung Cancer Treatments and Mutations (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Pleural and Pulmonary Diseases (3 papers), Medical Imaging and Pathology Studies (3 papers), Acute Myeloid Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cardiac tumors and thrombi (2 papers). The work is most often cited by research in Immunology (208 citations), Pathology and Forensic Medicine (155 citations) and Cancer Research (122 citations). Christina Williamson has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Cigall Kadoch, John L. Pulice, Simon M. G. Braun, Robert H. Crabtree, Christopher M. Weber, Erik L. Miller, Joseph P. Calarco, Emma J. Chory, Kıvanç Birsoy and Javier García‐Bermúdez. Their work appears in journals such as Nature Genetics, Blood and Nature Immunology.

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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