Alexis J. Combes
- Immunology top 2%
- Oncology top 5%
- Molecular Biology
- Cancer Research
- Epidemiology
- Co-authors
- Matthew F. KrummelBushra SamadKelly KerstenPhilippe PierreEvelina GattiRafael J. ArgüelloJessica TsuiPatrick K. Ha
- Topics
- Cancer Immunotherapy and Biomarkers (12 papers)Immunotherapy and Immune Responses (12 papers)Immune cells in cancer (10 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesFrancePortugal
In The Last Decade
Alexis J. Combes
34 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 1.1k
- Oncology 613
- Molecular Biology 526
- Cancer Research 148
- Epidemiology 128
Countries citing papers authored by Alexis J. Combes
This map shows the geographic impact of Alexis J. Combes'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 Alexis J. Combes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexis J. Combes more than expected).
Fields of papers citing papers by Alexis J. Combes
This network shows the impact of papers produced by Alexis J. Combes. 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 Alexis J. Combes. The network helps show where Alexis J. Combes may publish in the future.
Co-authorship network of co-authors of Alexis J. Combes
This figure shows the co-authorship network connecting the top 25 collaborators of Alexis J. Combes. A scholar is included among the top collaborators of Alexis J. Combes 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 Alexis J. Combes. Alexis J. Combes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 14 | |
| 3 | Tumor-associated macrophages restrict CD8+ T cell function through collagen deposition and metabolic reprogramming of the breast cancer microenvironmentbreakdown → | 119 |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 31 | |
| 10 | Spatiotemporal co-dependency between macrophages and exhausted CD8+ T cells in cancerbreakdown → | 188 |
| 11 | 71 | |
| 12 | 37 | |
| 13 | 22 | |
| 14 | 18 | |
| 15 | 9 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolutionbreakdown → | 278 |
| 19 | 16 | |
| 20 | 33 |
About Alexis J. Combes
Alexis J. Combes is a scholar working on Immunology, Aging and Oncology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Immunotherapy and Immune Responses (12 papers) and Immune cells in cancer (10 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (613 citations) and Cancer Research (148 citations). Alexis J. Combes has collaborated with scholars based in United States, France and Portugal. Frequent co-authors include Matthew F. Krummel, Bushra Samad, Kelly Kersten, Philippe Pierre, Evelina Gatti, Rafael J. Argüello, Jessica Tsui, Patrick K. Ha, Chun Ye and Adriana M. Mujal. Their work appears in journals such as Cell, Journal of Clinical Investigation and Nature Communications.
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.