Bogdan Luca
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Single-cell and spatial transcriptomics 7
- Oncology 4
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Aaron M. Newman (9 shared papers)Chloé B. Steen (7 shared papers)Andrew J. Gentles (8 shared papers)Ash A. Alizadeh (6 shared papers)Maximilian Diehn (5 shared papers)Mohammad Shahrokh Esfahani (3 shared papers)Chih Long Liu (3 shared papers)Michael S. Khodadoust (1 shared paper)
- Journals
- Nature Medicine (1 paper)Cell Reports (1 paper)Leukemia (1 paper)Cancer Discovery (1 paper)Blood (1 paper)
- Partner nations
- United StatesNorwayIndia
In The Last Decade
Bogdan Luca
12 papers receiving 3.2k citations
Bogdan Luca's Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 522
- Immunology 728
- Oncology 769
- Pulmonary and Respiratory Medicine 527
- Molecular Biology 1.2k
Countries citing papers authored by Bogdan Luca
This map shows the geographic impact of Bogdan Luca'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 Bogdan Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bogdan Luca more than expected).
Fields of papers citing papers by Bogdan Luca
This network shows the impact of papers produced by Bogdan Luca. 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 Bogdan Luca. The network helps show where Bogdan Luca may publish in the future.
Co-authors
The 25 scholars most cited alongside Bogdan Luca, 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 | Determining cell type abundance and expression from bulk tissues with digital cytometry Hit paper breakdown → | 2019 | 2482 |
| 2 | Atlas of clinically distinct cell states and ecosystems across human solid tumors Hit paper breakdown → | 2021 | 199 |
| 3 | T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma Hit paper breakdown → | 2022 | 198 |
| 4 | 2021 | 168 | |
| 5 | Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer Hit paper breakdown → | 2024 | 79 |
| 6 | 2016 | 12 | |
| 7 | 2024 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 4 | |
| 10 | 2019 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2020 | 1 | |
| 13 | Identify Experts from a Domain of Interest | 2010 | 1 |
| 14 | 2025 | 0 |
About Bogdan Luca
Bogdan Luca is a scholar working on Molecular Biology, Oncology, Biophysics, Immunology and Cancer Research, having authored 14 papers that have together received 3.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), CAR-T cell therapy research (4 papers), Cell Image Analysis Techniques (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Estrogen and related hormone effects (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Cancer Research (522 citations), Immunology (728 citations), Oncology (769 citations), Pulmonary and Respiratory Medicine (527 citations) and Molecular Biology (1.2k citations). Bogdan Luca has collaborated with scholars based in United States, Norway and India. Frequent co-authors include Aaron M. Newman, Chloé B. Steen, Andrew J. Gentles, Ash A. Alizadeh, Maximilian Diehn, Mohammad Shahrokh Esfahani, Chih Long Liu, Michael S. Khodadoust, Florian Scherer and Aadel A. Chaudhuri. Their work appears in journals such as Nature Medicine, Cell Reports, Leukemia, Cancer Discovery and Blood.
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.