Kimberly A. Luddy
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 6
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 7
- Cancer, Hypoxia, and Metabolism 5
- Immunology top 5%
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
- Immune cells in cancer 3
- Physiology top 5%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 6
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- Evolution and Genetic Dynamics 4
- Co-authors
- Robert A. GatenbyRobert J. GilliesArig Ibrahim‐HashimShari Pilon‐ThomasAsmaa El-KenawiShonagh RussellMehdi DamaghiKrithika N. Kodumudi
- 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
- Modeling and Simulation 174
- Cancer Research 544
- Immunology 471
- Physiology 82
- Oncology 478
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
The 25 scholars most cited alongside Kimberly A. Luddy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 25 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 119 | |
| 9 | 2019 | 27 | |
| 10 | 2019 | 18 | |
| 11 | 2019 | 109 | |
| 12 | 2018 | 156 | |
| 13 | 2017 | 61 | |
| 14 | Neutralization of Tumor Acidity Improves Antitumor Responses to Immunotherapybreakdown → | 2016 | 468 |
| 15 | 2016 | 92 | |
| 16 | 2014 | 8 | |
| 17 | 2014 | 37 | |
| 18 | 2013 | 81 | |
| 19 | 2013 | 1 | |
| 20 | Paclitaxel and TRAIL synergize to kill paclitaxel-resistant small cell lung cancer cells through a caspase-independent mechanism mediated through AIF. | 2011 | 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), Cancer Immunotherapy and Biomarkers (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Immune Cell Function and Interaction (5 papers), Evolution and Genetic Dynamics (4 papers), Immunotherapy and Immune Responses (3 papers) and Immune cells in cancer (3 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.