Antonio La Cava
Impact in
- Immunology top 0.2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Endocrine and Autonomic Systems top 0.2%
- Regulation of Appetite and Obesity
Papers in
- Immunology 112
- T-cell and B-cell Immunology 79
- Immune Cell Function and Interaction 75
- Immunotherapy and Immune Responses 21
-
- Regulation of Appetite and Obesity 22
- Co-authors
- Giuseppe MatareseFu‐Dong ShiVeronica De RosaBevra H. HahnLuc Van KaerClaudio ProcacciniElaine LourençoSilvia Fontana
- Journals
- The Journal of Immunology (22 papers)Frontiers in Immunology (8 papers)Autoimmunity Reviews (6 papers)Clinical Immunology (6 papers)Immunity (4 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
Antonio La Cava
156 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 5.2k
- Endocrine and Autonomic Systems 1.6k
- Neurology 748
- Rheumatology 1.3k
- Epidemiology 2.3k
Countries citing papers authored by Antonio La Cava
This map shows the geographic impact of Antonio La Cava'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 La Cava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio La Cava more than expected).
Fields of papers citing papers by Antonio La Cava
This network shows the impact of papers produced by Antonio La Cava. 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 La Cava. The network helps show where Antonio La Cava may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonio La Cava, 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 | 2 | |
| 2 | 2023 | 7 | |
| 3 | 2021 | 78 | |
| 4 | 2012 | 58 | |
| 5 | 2010 | 29 | |
| 6 | 2010 | 179 | |
| 7 | 2009 | 2 | |
| 8 | 2007 | 3 | |
| 9 | 2007 | 34 | |
| 10 | 2006 | 45 | |
| 11 | 2006 | 1 | |
| 12 | 2006 | 4 | |
| 13 | 2005 | 115 | |
| 14 | 2005 | 115 | |
| 15 | 2004 | 24 | |
| 16 | 2002 | 48 | |
| 17 | 2001 | 3 | |
| 18 | 2000 | 24 | |
| 19 | 2000 | 57 | |
| 20 | 1997 | 58 |
About Antonio La Cava
Antonio La Cava is a scholar working on Immunology, Endocrine and Autonomic Systems, Rheumatology, Neurology and Nutrition and Dietetics, having authored 159 papers that have together received 9.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (79 papers), Immune Cell Function and Interaction (75 papers), Systemic Lupus Erythematosus Research (37 papers), Regulation of Appetite and Obesity (22 papers), Immunotherapy and Immune Responses (21 papers), Adipokines, Inflammation, and Metabolic Diseases (20 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Diabetes and associated disorders (13 papers). The work is most often cited by research in Immunology (5.2k citations), Endocrine and Autonomic Systems (1.6k citations), Neurology (748 citations), Rheumatology (1.3k citations) and Epidemiology (2.3k citations). Antonio La Cava has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Giuseppe Matarese, Fu‐Dong Shi, Veronica De Rosa, Bevra H. Hahn, Luc Van Kaer, Claudio Procaccini, Elaine Lourenço, Silvia Fontana, Serafino Zappacosta and Noriko Iikuni. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Autoimmunity Reviews, Clinical Immunology and Immunity.
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.