Manuel Casanova

78 papers receiving 2.3k citations

Manuel Casanova's Hit Papers

Cell Wall and Secreted Proteins ofCandida albicans: Identification, Function, and Expression 1998 · 608 citations
6080+9+18Years since publication200400600

Peers

Manuel Casanova
Comparison fields: 5 of 131
  • Infectious Diseases 1.2k
  • Microbiology 121
  • Periodontics 90
  • Epidemiology 620
  • Food Science 275
Replace Myung‐Geun Shin with:
Myung‐Geun Shin South Korea
Minghsun Liu United States
Norbert Bannert Germany
Amol C. Shetty United States
Sascha Brunke Germany
I van de Rijn United States
Daniel Kalman United States
Luis R. Martinez United States
Mona Johannessen Norway
Bernard Gay France
Manuel Casanova relative to Myung‐Geun Shin South Korea Myung‐Geun Shin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Manuel Casanova

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cell Wall and Secreted Proteins ofCandida albicans: Identification, Function, and Expression
Hit paper breakdown →
1998608
2 1997136
3 1989129
4 1992102
5 199298
6 199480
7 200679
8 199173
9 199171
10 200461
11 199446
12 199045
13 201745
14 202044
15 201440
16 201837
17 201634
18 202034
19 201032
20 199031

About Manuel Casanova

Manuel Casanova is a scholar working on Molecular Biology, Infectious Diseases, Cognitive Neuroscience, Genetics and Plant Science, having authored 80 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (30 papers), Autism Spectrum Disorder Research (15 papers), Polysaccharides and Plant Cell Walls (11 papers), Fungal and yeast genetics research (7 papers), Fungal Infections and Studies (7 papers), Peptidase Inhibition and Analysis (6 papers), Glycosylation and Glycoproteins Research (6 papers) and Genetics and Neurodevelopmental Disorders (6 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Microbiology (121 citations), Periodontics (90 citations), Epidemiology (620 citations) and Food Science (275 citations). Manuel Casanova has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Juan‐Pablo Martínez, José L. López-Ribot, Daniel Gozalbo, W. LaJean Chaffin, Rafael Sentandreu, M. Luisa Gil, Manuel F. Casanova, W L Chaffin, Amelia Murgui and Carlos Monteagudo. Their work appears in journals such as Infection and Immunity, Archives of Microbiology, FEMS Yeast Research, Microbiology and Biological Psychiatry.

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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