Fernando Macián
- Immunology top 0.5%
- Immune Cell Function and Interaction 26
- T-cell and B-cell Immunology 16
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism 7
- Cancer Research top 2%
- Molecular Biology top 2%
- Signaling Pathways in Disease 20
- Epidemiology top 2%
- Autophagy in Disease and Therapy 24
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- CAR-T cell therapy research 7
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- Neuroinflammation and Neurodegeneration Mechanisms 5
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- Systemic Lupus Erythematosus Research 4
- Co-authors
- Anjana RaoAna María CuervoCristina López-Rodrı́guezSin‐Hyeog ImRut ValdorYaïr BotbolFrancisco Garcı́a-CózarHeidi F. Horton
- Cited by
- ImmunologyPhysiologyCancer Research
- Journals
- The Journal of Immunology (5 papers)Frontiers in Immunology (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Fernando Macián
79 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology 3.3k
- Physiology 388
- Cancer Research 702
- Molecular Biology 3.2k
- Epidemiology 1.6k
Countries citing papers authored by Fernando Macián
This map shows the geographic impact of Fernando Macián'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 Fernando Macián with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Macián more than expected).
Fields of papers citing papers by Fernando Macián
This network shows the impact of papers produced by Fernando Macián. 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 Fernando Macián. The network helps show where Fernando Macián may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Macián, 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 | 2024 | 11 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 51 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 22 | |
| 7 | 2019 | 76 | |
| 8 | 2018 | 45 | |
| 9 | 2018 | 52 | |
| 10 | 2017 | 9 | |
| 11 | 2017 | 45 | |
| 12 | 2014 | 39 | |
| 13 | 2014 | 165 | |
| 14 | 2014 | 159 | |
| 15 | 2013 | 41 | |
| 16 | 2012 | 32 | |
| 17 | 2011 | 76 | |
| 18 | 2009 | 62 | |
| 19 | 2008 | 84 | |
| 20 | 2000 | 263 |
About Fernando Macián
Fernando Macián is a scholar working on Immunology, Physiology, Neurology, Epidemiology and Parasitology, having authored 79 papers that have together received 7.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (26 papers), Autophagy in Disease and Therapy (24 papers), Signaling Pathways in Disease (20 papers), T-cell and B-cell Immunology (16 papers), Calcium signaling and nucleotide metabolism (7 papers), CAR-T cell therapy research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Immunology (3.3k citations), Physiology (388 citations), Cancer Research (702 citations), Molecular Biology (3.2k citations) and Epidemiology (1.6k citations). Fernando Macián has collaborated with scholars based in United States, Spain and Israel. Frequent co-authors include Anjana Rao, Ana María Cuervo, Cristina López-Rodrı́guez, Sin‐Hyeog Im, Rut Valdor, Yaïr Botbol, Francisco Garcı́a-Cózar, Heidi F. Horton, Michael C. Byrne and Hiroshi Koga. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Cancer Research, Nature Immunology and Molecular and Cellular Biology.
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.