Fabiana Bigi

3.3k citations
107 papers · 2.5k indexed · 1 hit paper · h-index 27
Topics
Tuberculosis Research and Epidemiology (89 papers)Mycobacterium research and diagnosis (86 papers)vaccines and immunoinformatics approaches (14 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of ImmunologyPLoS ONE

In The Last Decade

Fabiana Bigi

104 papers receiving 2.5k citations

Hit Papers

Virulence factors of theMycobacterium tuberculosiscomplex20132026201720212013100200300400

Peers

Fabiana Bigi
Comparison fields: 5 of 89
  • Infectious Diseases 2.0k
  • Epidemiology 1.7k
  • Molecular Biology 843
  • Surgery 450
  • Immunology 403
Replace Karin Eiglmeier with:
Karin Eiglmeier France
Angel Cataldi Argentina
Pilar Domenech Canada
Thierry Garnier France
Roxane Siméone France
Xi Pan United States
Josephine E. Clark‐Curtiss United States
Michael B. Reed Canada
Franck Biet France
Varalakshmi Vissa United States
Fabiana Bigi relative to Karin Eiglmeier France Karin Eiglmeier's profile →
Citations per field
00.5×1.5×1.8×
Karin Eiglmeier · 1×
Citations per year

Countries citing papers authored by Fabiana Bigi

Since Specialization
Citations

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

Fields of papers citing papers by Fabiana Bigi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabiana Bigi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabiana Bigi. A scholar is included among the top collaborators of Fabiana Bigi 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 Fabiana Bigi. Fabiana Bigi 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
#WorkIndexed citations
1 1
2 2
3 0
4 1
5 6
6 1
7 18
8 12
9 10
10 5
11 32
12 15
13 48
14 4
15 21
16 6
17 47
18 28
19 4
20 15

About Fabiana Bigi

Fabiana Bigi is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 107 papers that have together received 2.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (89 papers), Mycobacterium research and diagnosis (86 papers) and vaccines and immunoinformatics approaches (14 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Epidemiology (1.7k citations) and Molecular Medicine (237 citations). Fabiana Bigi has collaborated with scholars based in Argentina, United Kingdom and Brazil. Frequent co-authors include Angel Cataldi, Laura Inés Klepp, Marı́a de la Paz Santangelo, Federico Carlos Blanco, Marina Andrea Forrellad, Andrea Gioffré, A. Alito, Maria Romanò, Julia Sabio y García and María Verónica Bianco. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

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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