Angel Cataldi

99 papers receiving 3.2k citations

Angel Cataldi's Hit Papers

Virulence factors of theMycobacterium tuberculosiscomplex 2013 · 430 citations
4300+4+8Years since publication100200300400

Peers

Angel Cataldi
Comparison fields: 5 of 100
  • Infectious Diseases 2.7k
  • Epidemiology 2.5k
  • Molecular Medicine 274
  • Microbiology 215
  • Microbiology 21
Replace Fabiana Bigi with:
Fabiana Bigi Argentina
Desmond M. Collins New Zealand
Karin Eiglmeier France
Sjoukje Kuijper Netherlands
Xi Pan United States
Bonnie B. Plikaytis United States
Viviana Ritacco Argentina
P E de Haas Netherlands
Franck Biet France
Thierry Garnier France
Angel Cataldi relative to Fabiana Bigi Argentina Fabiana Bigi's profile →
Citations per field
00.5×1.5×1.9×
Fabiana Bigi · 1×
Citations per year

Countries citing papers authored by Angel Cataldi

Since Specialization
Citations

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

Fields of papers citing papers by Angel Cataldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Angel Cataldi, 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 Angel Cataldi Line = papers co-authored together Angel Cataldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Virulence factors of theMycobacterium tuberculosiscomplex
Hit paper breakdown →
2013430
2 2003200
3
Spacer oligonucleotide typing of bacteria of the Mycobacterium tuberculosis complex: recommendations for standardised nomenclature.
2001149
4 1999137
5 2005120
6 2001101
7 200576
8 200671
9 199970
10 200358
11 200455
12 200955
13 198750
14 201048
15 200247
16 199947
17 201246
18 200946
19 201245
20 201244

About Angel Cataldi

Angel Cataldi is a scholar working on Epidemiology, Infectious Diseases, Surgery, Molecular Biology and Immunology, having authored 100 papers that have together received 3.3k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (90 papers), Tuberculosis Research and Epidemiology (85 papers), Diagnosis and treatment of tuberculosis (13 papers), Infectious Diseases and Tuberculosis (12 papers), Antibiotic Resistance in Bacteria (8 papers), RNA and protein synthesis mechanisms (7 papers), Microbial infections and disease research (7 papers) and vaccines and immunoinformatics approaches (6 papers). The work is most often cited by research in Infectious Diseases (2.7k citations), Epidemiology (2.5k citations), Molecular Medicine (274 citations), Microbiology (215 citations) and Microbiology (21 citations). Angel Cataldi has collaborated with scholars based in Argentina, Brazil and United States. Frequent co-authors include Fabiana Bigi, Martín José Zumárraga, Marı́a de la Paz Santangelo, Laura Inés Klepp, Andrea Gioffré, A. Alito, Maria Romanò, Marina Andrea Forrellad, Héctor R. Morbidoni and Julia Sabio y García. Their work appears in journals such as Tuberculosis, Journal of Clinical Microbiology, Microbiology, Veterinary Microbiology and Microbes and Infection.

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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