Mauro Congia

4.2k total citations · 1 hit paper
50 papers, 2.7k citations indexed

About

Mauro Congia is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Mauro Congia has authored 50 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 22 papers in Immunology and 15 papers in Surgery. Recurrent topics in Mauro Congia's work include Diabetes and associated disorders (19 papers), T-cell and B-cell Immunology (15 papers) and Celiac Disease Research and Management (12 papers). Mauro Congia is often cited by papers focused on Diabetes and associated disorders (19 papers), T-cell and B-cell Immunology (15 papers) and Celiac Disease Research and Management (12 papers). Mauro Congia collaborates with scholars based in Italy, United States and United Kingdom. Mauro Congia's co-authors include Francesco Cucca, S. De Virgiliis, Andrew P. Cope, Antonio Cao, Maria Doloretta Macis, Fulvia Frau, Nunzio Bottini, Valeria Orrù, Salil D. Patel and Torkel Vang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Mauro Congia

48 papers receiving 2.6k citations

Hit Papers

Autoimmune-associated lymphoid tyrosine phosphatase is a ... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers

Mauro Congia
Comparison fields: 5 of 101
  • Genetics 1.1k
  • Immunology 1.0k
  • Surgery 653
  • Epidemiology 476
  • Molecular Biology 447
Replace G. F. Bottazzo with:
G. F. Bottazzo United Kingdom
J. Bertrams Germany
Ann B. Begovich United States
Amy Putnam United States
Benedicte A. Lie Norway
Mary Rieck United States
Arno R. van der Slik Netherlands
Erlinda Concepcion United States
Gisela Orozco United Kingdom
Anjli Kukreja United States
G. F. Bottazzo United Kingdom View profile →
Citations per field, relative to Mauro Congia
Mauro Congia · 1×
Citations per year, relative to Mauro Congia
Mauro Congia · 1×

Countries citing papers authored by Mauro Congia

Since Specialization
Citations

This map shows the geographic impact of Mauro Congia'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 Mauro Congia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Congia more than expected).

Fields of papers citing papers by Mauro Congia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauro Congia. 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 Mauro Congia. The network helps show where Mauro Congia may publish in the future.

Co-authorship network of co-authors of Mauro Congia

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Congia. A scholar is included among the top collaborators of Mauro Congia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mauro Congia. Mauro Congia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 3
5 11
6 11
7 61
8 75
9 24
10 8
11
Autoimmune-associated lymphoid tyrosine phosphatase is a gain-of-function variant breakdown →
534
12
Dissecting T cell responses to cartilage antigens in HLA class II transgenic mice.
1
13 73
14 40
15 88
16 6
17 19
18 9
19 54
20 2

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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