Kaitlin M. Woo

5.3k citations
66 papers · 2.7k indexed · 1 hit paper · h-index 29
Topics
Lung Cancer Treatments and Mutations (13 papers)Lung Cancer Diagnosis and Treatment (10 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)

In The Last Decade

Kaitlin M. Woo

66 papers receiving 2.7k citations

Hit Papers

Immune-Related Adverse Events, Need for Systemic Immunosu...20152026201820222015250500750

Peers

Kaitlin M. Woo
Comparison fields: 5 of 107
  • Oncology 1.3k
  • Pulmonary and Respiratory Medicine 1.2k
  • Radiology, Nuclear Medicine and Imaging 415
  • Molecular Biology 404
  • Immunology 314
Replace David Shultz with:
David Shultz Canada
Mohammad K. Khan United States
Wendy Hayes United States
Aaron T. Wild United States
C. Debruyne Netherlands
Susan M. Hiniker United States
Kent Friedman United States
Marc Bischof Germany
Mehmet Asım Bilen United States
Vincent van der Noort Netherlands
Kaitlin M. Woo relative to David Shultz Canada David Shultz's profile →
Citations per field
00.5×2.8×
David Shultz · 1×
Citations per year

Countries citing papers authored by Kaitlin M. Woo

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlin M. Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaitlin M. Woo. 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 Kaitlin M. Woo. The network helps show where Kaitlin M. Woo may publish in the future.

Co-authorship network of co-authors of Kaitlin M. Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Kaitlin M. Woo. A scholar is included among the top collaborators of Kaitlin M. Woo 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 Kaitlin M. Woo. Kaitlin M. Woo 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
#WorkIndexed citations
1 39
2 20
3 12
4 49
5 40
6 46
7 38
8 37
9 5
10 70
11 213
12 50
13 60
14 8
15 17
16 28
17 100
18 5
19 14
20 75

About Kaitlin M. Woo

Kaitlin M. Woo is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Lung Cancer Diagnosis and Treatment (10 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Oncology (1.3k citations), Pulmonary and Respiratory Medicine (1.2k citations) and Genetics (295 citations). Kaitlin M. Woo has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Camelia S. Sima, Sandra P. D’Angelo, Mark A. Dickson, Parisa Momtaz, Troy Z. Horvat, Margaret K. Callahan, Nelly G. Adel, Richard D. Carvajal, Paul B. Chapman and Katherine S. Panageas. Their work appears in journals such as Journal of Clinical Oncology, Blood and Annals of Surgery.

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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