M.J. Flor
Impact in
-
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Cancer Cells and Metastasis
- CAR-T cell therapy research
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- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Oncology 7
- Lung Cancer Research Studies 5
- Peptidase Inhibition and Analysis 2
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- Cancer therapeutics and mechanisms 3
- TGF-β signaling in diseases 2
- Co-authors
- Luis Paz‐Ares (6 shared papers)David Vicente (1 shared paper)Massimo Di Nicola (2 shared papers)Byoung Chul Cho (3 shared papers)Chia‐Chi Lin (1 shared paper)Christoph Helwig (3 shared papers)Dae Ho Lee (2 shared papers)James L. Gulley (2 shared papers)
- Journals
- Journal of Thoracic Oncology (3 papers)Journal of Clinical Oncology (3 papers)Annals of Oncology (3 papers)Annals of Hepatology (1 paper)Einstein (São Paulo) (1 paper)
- Partner nations
- SpainUnited StatesBrazil
In The Last Decade
M.J. Flor
11 papers receiving 231 citations
Peers
Comparison fields: 5 of 40
- Oncology 152
- Immunology 69
- Pulmonary and Respiratory Medicine 38
- Transplantation 3
- Cancer Research 14
Countries citing papers authored by M.J. Flor
This map shows the geographic impact of M.J. Flor'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 M.J. Flor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.J. Flor more than expected).
Fields of papers citing papers by M.J. Flor
This network shows the impact of papers produced by M.J. Flor. 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 M.J. Flor. The network helps show where M.J. Flor may publish in the future.
Co-authors
The 25 scholars most cited alongside M.J. Flor, 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 | 2020 | 163 | |
| 2 | 2016 | 17 | |
| 3 | 2017 | 14 | |
| 4 | 2020 | 12 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 6 | |
| 7 | 2017 | 4 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2012 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2005 | 0 | |
| 14 | 2020 | 0 |
About M.J. Flor
M.J. Flor is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Biotechnology and Infectious Diseases, having authored 14 papers that have together received 236 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (5 papers), Cancer therapeutics and mechanisms (3 papers), Lung Cancer Treatments and Mutations (3 papers), Peptidase Inhibition and Analysis (2 papers), TGF-β signaling in diseases (2 papers), Cancer Research and Treatments (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (152 citations), Immunology (69 citations), Pulmonary and Respiratory Medicine (38 citations), Transplantation (3 citations) and Cancer Research (14 citations). M.J. Flor has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include Luis Paz‐Ares, David Vicente, Massimo Di Nicola, Byoung Chul Cho, Chia‐Chi Lin, Christoph Helwig, Dae Ho Lee, James L. Gulley, Laureen S. Ojalvo and Rosa Álvarez. Their work appears in journals such as Journal of Thoracic Oncology, Journal of Clinical Oncology, Annals of Oncology, Annals of Hepatology and Einstein (São Paulo).
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.