Kimberly A. Luddy
- Molecular Biology
- Cancer Research top 5%
- Oncology top 5%
- Immunology top 5%
- Modeling and Simulation top 2%
- Co-authors
- Robert A. GatenbyRobert J. GilliesArig Ibrahim‐HashimShari Pilon‐ThomasAsmaa El-KenawiShonagh RussellMehdi DamaghiKrithika N. Kodumudi
- Topics
- Cancer Genomics and Diagnostics (7 papers)Mathematical Biology Tumor Growth (6 papers)Cancer Immunotherapy and Biomarkers (6 papers)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Kimberly A. Luddy
25 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 567
- Cancer Research 544
- Oncology 478
- Immunology 471
- Modeling and Simulation 174
Countries citing papers authored by Kimberly A. Luddy
This map shows the geographic impact of Kimberly A. Luddy'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 Kimberly A. Luddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly A. Luddy more than expected).
Fields of papers citing papers by Kimberly A. Luddy
This network shows the impact of papers produced by Kimberly A. Luddy. 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 Kimberly A. Luddy. The network helps show where Kimberly A. Luddy may publish in the future.
Co-authorship network of co-authors of Kimberly A. Luddy
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly A. Luddy. A scholar is included among the top collaborators of Kimberly A. Luddy 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 Kimberly A. Luddy. Kimberly A. Luddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 25 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 119 | |
| 9 | 27 | |
| 10 | 18 | |
| 11 | 109 | |
| 12 | 156 | |
| 13 | 61 | |
| 14 | Neutralization of Tumor Acidity Improves Antitumor Responses to Immunotherapybreakdown → | 468 |
| 15 | 92 | |
| 16 | 8 | |
| 17 | 37 | |
| 18 | 81 | |
| 19 | 1 | |
| 20 | Paclitaxel and TRAIL synergize to kill paclitaxel-resistant small cell lung cancer cells through a caspase-independent mechanism mediated through AIF. | 28 |
About Kimberly A. Luddy
Kimberly A. Luddy is a scholar working on Modeling and Simulation, Cancer Research and Immunology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Mathematical Biology Tumor Growth (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Modeling and Simulation (174 citations), Cancer Research (544 citations) and Immunology (471 citations). Kimberly A. Luddy has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Robert A. Gatenby, Robert J. Gillies, Arig Ibrahim‐Hashim, Shari Pilon‐Thomas, Asmaa El-Kenawi, Shonagh Russell, Mehdi Damaghi, Krithika N. Kodumudi, Alexander R.A. Anderson and Pedro M. Enríquez‐Navas. Their work appears in journals such as Nature Communications, PLoS ONE and Cancer Research.
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.