Diego Cigna

1.0k citations
31 papers · 850 · h-index 17

Impact in

    • Tryptophan and brain disorders
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • T-cell and B-cell Immunology 13
    • Immune Cell Function and Interaction 12
    • Immunotherapy and Immune Responses 4
    • Immune Response and Inflammation 3

Diego Cigna

31 papers receiving 827 citations

Peers

Diego Cigna
Comparison fields: 5 of 111
  • Biological Psychiatry 68
  • Immunology 387
  • Behavioral Neuroscience 48
  • Aging 12
  • Neurology 52
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Francesco Gervasi Italy
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Kittipong Maneechotesuwan Thailand
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C Huber Austria
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Citations per field
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Citations per year

Countries citing papers authored by Diego Cigna

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Diego Cigna Line = papers co-authored together Diego Cigna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993113
2 1996108
3 199962
4 199355
5 199450
6 201348
7 200246
8 201333
9 201831
10 201529
11 199528
12 199626
13 201926
14 199626
15 201724
16 199718
17 199817
18 199716
19 199314
20 199513

About Diego Cigna

Diego Cigna is a scholar working on Immunology, Molecular Biology, Physiology, Epidemiology and Rheumatology, having authored 31 papers that have together received 850 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (12 papers), Asthma and respiratory diseases (4 papers), Immunotherapy and Immune Responses (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Immune Response and Inflammation (3 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Biological Psychiatry (68 citations), Immunology (387 citations), Behavioral Neuroscience (48 citations), Aging (12 citations) and Neurology (52 citations). Diego Cigna has collaborated with scholars based in Italy, Argentina and Czechia. Frequent co-authors include Giuseppina Candore, Calogero Caruso, Antonio Tobia Colucci, Maria Assunta Modica, Gabriele Di Lorenzo, Alfredo Salerno, Francesco Dieli, Francesco Gervasi, Guido Sireci and Claudia D’Anna. Their work appears in journals such as Human Immunology, Immunological Investigations, Molecular BioSystems, Mechanisms of Ageing and Development and Inflammation Research.

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.

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