Patrick J. Lupardus
- Molecular Biology top 2%
- Oncology top 1%
- Immunology top 1%
- Cancer Research top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- K. Christopher GarcíaKarlene A. CimprichZora ModrušanHeidi J.A. WallweberDomagoj VucicXinquan WangSherry L. LaPorteAli A. Zarrin
- Topics
- Cytokine Signaling Pathways and Interactions (15 papers)Immune Cell Function and Interaction (9 papers)DNA Repair Mechanisms (7 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Patrick J. Lupardus
50 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 2.6k
- Oncology 1.9k
- Immunology 1.8k
- Cancer Research 432
- Radiology, Nuclear Medicine and Imaging 414
Countries citing papers authored by Patrick J. Lupardus
This map shows the geographic impact of Patrick J. Lupardus'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 Patrick J. Lupardus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J. Lupardus more than expected).
Fields of papers citing papers by Patrick J. Lupardus
This network shows the impact of papers produced by Patrick J. Lupardus. 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 Patrick J. Lupardus. The network helps show where Patrick J. Lupardus may publish in the future.
Co-authorship network of co-authors of Patrick J. Lupardus
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick J. Lupardus. A scholar is included among the top collaborators of Patrick J. Lupardus 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 Patrick J. Lupardus. Patrick J. Lupardus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 101 | |
| 4 | 113 | |
| 5 | 61 | |
| 6 | 24 | |
| 7 | 42 | |
| 8 | 49 | |
| 9 | 32 | |
| 10 | 139 | |
| 11 | Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencingbreakdown → | 881 |
| 12 | 6 | |
| 13 | 66 | |
| 14 | 51 | |
| 15 | 51 | |
| 16 | 120 | |
| 17 | 67 | |
| 18 | 111 | |
| 19 | 77 | |
| 20 | 50 |
About Patrick J. Lupardus
Patrick J. Lupardus is a scholar working on Immunology, Oncology and Pharmacology, having authored 54 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (15 papers), Immune Cell Function and Interaction (9 papers) and DNA Repair Mechanisms (7 papers). The work is most often cited by research in Immunology (1.8k citations), Oncology (1.9k citations) and Molecular Biology (2.6k citations). Patrick J. Lupardus has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include K. Christopher García, Karlene A. Cimprich, Zora Modrušan, Heidi J.A. Wallweber, Domagoj Vucic, Xinquan Wang, Sherry L. LaPorte, Ali A. Zarrin, Katherine Bao and Ryan Ferrao. Their work appears in journals such as Nature, Science and Cell.
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.