Antonio Celada
- Immunology top 0.5%
- Immune Response and Inflammation 27
- Immune Cell Function and Interaction 25
- Immune cells in cancer 24
- T-cell and B-cell Immunology 18
- Immunotherapy and Immune Responses 14
- Physiology top 0.5%
- Adenosine and Purinergic Signaling 11
- Neurology top 2%
- Immunology and Allergy top 2%
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions 24
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- NF-κB Signaling Pathways 15
- Co-authors
- Jorge LloberasRichard A. MakiAnnabel F. ValledorJordi XausRobert D. SchreiberMónica ComaladaConcepció SolerScott R. McKercher
- Cited by
- ImmunologyPhysiologyNeurology
- Journals
- The Journal of Immunology (27 papers)European Journal of Immunology (12 papers)Journal of Biological Chemistry (8 papers)
- Partner nations
- SpainUnited StatesSwitzerland
In The Last Decade
Antonio Celada
180 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 4.4k
- Physiology 562
- Neurology 479
- Immunology and Allergy 323
- Oncology 1.4k
Countries citing papers authored by Antonio Celada
This map shows the geographic impact of Antonio Celada'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 Antonio Celada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Celada more than expected).
Fields of papers citing papers by Antonio Celada
This network shows the impact of papers produced by Antonio Celada. 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 Antonio Celada. The network helps show where Antonio Celada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Antonio Celada, 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 | 2021 | 15 | |
| 2 | 2020 | 19 | |
| 3 | 2017 | 53 | |
| 4 | 2010 | 132 | |
| 5 | 2009 | 39 | |
| 6 | Pillars article: the macrophage and B cell-specific transcription factor PU.1 is related to the ets oncogene. Cell, 1990. 61: 113-124. | 2008 | 2 |
| 7 | 2008 | 46 | |
| 8 | 2008 | 233 | |
| 9 | 2007 | 23 | |
| 10 | 2005 | 44 | |
| 11 | 2004 | 42 | |
| 12 | 2003 | 55 | |
| 13 | 2000 | 94 | |
| 14 | 2000 | 30 | |
| 15 | 1995 | 38 | |
| 16 | 1993 | 56 | |
| 17 | 1989 | 14 | |
| 18 | 1988 | 41 | |
| 19 | 1985 | 21 | |
| 20 | [Effect of alcohol on iron absorption]. | 1977 | 1 |
About Antonio Celada
Antonio Celada is a scholar working on Immunology, Physiology and Hematology, having authored 181 papers that have together received 9.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (27 papers), Immune Cell Function and Interaction (25 papers), Cytokine Signaling Pathways and Interactions (24 papers), Immune cells in cancer (24 papers), T-cell and B-cell Immunology (18 papers), NF-κB Signaling Pathways (15 papers), Immunotherapy and Immune Responses (14 papers) and Adenosine and Purinergic Signaling (11 papers). The work is most often cited by research in Immunology (4.4k citations), Physiology (562 citations) and Neurology (479 citations). Antonio Celada has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Jorge Lloberas, Richard A. Maki, Annabel F. Valledor, Jordi Xaus, Robert D. Schreiber, Mónica Comalada, Concepció Soler, Scott R. McKercher, Michael J. Klemsz and Charles Van Beveren. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Journal of Biological Chemistry, Blood 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.