Diego Cigna
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Immunology 14
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 2
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- Asthma and respiratory diseases 2
- Smoking Behavior and Cessation 1
- Co-authors
- Giuseppina Candore (19 shared papers)Calogero Caruso (18 shared papers)Antonio Tobia Colucci (7 shared papers)Maria Assunta Modica (7 shared papers)Gabriele Di Lorenzo (10 shared papers)Francesco Dieli (3 shared papers)Alfredo Salerno (4 shared papers)Guido Sireci (2 shared papers)
- Journals
- Human Immunology (5 papers)Molecular BioSystems (2 papers)Immunological Investigations (2 papers)Mechanisms of Ageing and Development (2 papers)Life Sciences (1 paper)
- Partner nations
- ItalyUnited StatesCzechia
In The Last Decade
Diego Cigna
31 papers receiving 889 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 52
- Aging 56
- Immunology 273
- Rheumatology 64
- Behavioral Neuroscience 13
Countries citing papers authored by Diego Cigna
This map shows the geographic impact of Diego Cigna'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 Diego Cigna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Cigna more than expected).
Fields of papers citing papers by Diego Cigna
This network shows the impact of papers produced by Diego Cigna. 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 Diego Cigna. The network helps show where Diego Cigna may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Cigna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 123 | |
| 2 | 1993 | 121 | |
| 3 | 1999 | 78 | |
| 4 | 1993 | 58 | |
| 5 | 1994 | 51 | |
| 6 | 2013 | 49 | |
| 7 | 2002 | 46 | |
| 8 | 2018 | 35 | |
| 9 | 2013 | 33 | |
| 10 | 2015 | 33 | |
| 11 | 1995 | 32 | |
| 12 | 1996 | 29 | |
| 13 | 1996 | 29 | |
| 14 | 2019 | 29 | |
| 15 | 2017 | 25 | |
| 16 | 1997 | 20 | |
| 17 | 1997 | 20 | |
| 18 | 1998 | 18 | |
| 19 | 1993 | 16 | |
| 20 | 1995 | 16 |
About Diego Cigna
Diego Cigna is a scholar working on Immunology, Physiology, Genetics, Pulmonary and Respiratory Medicine and Rheumatology, having authored 31 papers that have together received 927 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Diabetes and associated disorders (3 papers), Genetic Associations and Epidemiology (3 papers), Asthma and respiratory diseases (2 papers), Immune Cell Function and Interaction (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Biological Psychiatry (52 citations), Aging (56 citations), Immunology (273 citations), Rheumatology (64 citations) and Behavioral Neuroscience (13 citations). Diego Cigna has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Giuseppina Candore, Calogero Caruso, Antonio Tobia Colucci, Maria Assunta Modica, Gabriele Di Lorenzo, Francesco Dieli, Alfredo Salerno, Guido Sireci, Francesco Gervasi and Claudia D’Anna. Their work appears in journals such as Human Immunology, Molecular BioSystems, Immunological Investigations, Mechanisms of Ageing and Development and Life Sciences.
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.