M Franco
- Epidemiology top 10%
- Infectious Diseases top 10%
- Cell Biology
- Immunology
- Molecular Biology
- Co-authors
- Eduardo BagagliCarlos da Silva LacazFlorence M. HofmanBetty A. Wu‐HsiehAyako SanoK. I. R. CoelhoZoilo Pires dè CamargoM. R. Montenegro
- Topics
- Fungal Infections and Studies (8 papers)Nail Diseases and Treatments (6 papers)Antifungal resistance and susceptibility (4 papers)
- Partner nations
- BrazilUnited StatesSpain
In The Last Decade
M Franco
19 papers receiving 374 citations
Peers
Comparison fields: 5 of 59
- Epidemiology 317
- Infectious Diseases 201
- Cell Biology 71
- Immunology 52
- Molecular Biology 50
Countries citing papers authored by M Franco
This map shows the geographic impact of M Franco'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 M Franco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Franco more than expected).
Fields of papers citing papers by M Franco
This network shows the impact of papers produced by M Franco. 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 M Franco. The network helps show where M Franco may publish in the future.
Co-authorship network of co-authors of M Franco
This figure shows the co-authorship network connecting the top 25 collaborators of M Franco. A scholar is included among the top collaborators of M Franco 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 M Franco. M Franco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | Detection of Paracoccidioides brasiliensis by PCR in biopsies from patients with paracoccidioidomycosis: correlation with the histopathological pattern. | 9 |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 74 | |
| 9 | 114 | |
| 10 | 4 | |
| 11 | [Long-term clinical course of acute myocarditis. Prospective study of a series of 99 patients (1987-1995)]. | 4 |
| 12 | [Acute myocarditis with severe cardiac dysfunction in the pediatric population. The evolution and differential characteristics with respect to adult myocarditis]. | 6 |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 63 | |
| 16 | Reticulin antibodies: relationship with endocardium-vessel-interstitium antibodies and heterophilic antibodies. | 1 |
| 17 | 37 | |
| 18 | 31 | |
| 19 | Pulmonary cytology in paracoccidioidomycosis. | 8 |
About M Franco
M Franco is a scholar working on Transplantation, Nephrology and Epidemiology, having authored 19 papers that have together received 387 indexed citations. Recurring topics across this work include Fungal Infections and Studies (8 papers), Nail Diseases and Treatments (6 papers) and Antifungal resistance and susceptibility (4 papers). The work is most often cited by research in Infectious Diseases (201 citations), Epidemiology (317 citations) and Microbiology (6 citations). M Franco has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Eduardo Bagagli, Carlos da Silva Lacaz, Florence M. Hofman, Betty A. Wu‐Hsieh, Ayako Sano, K. I. R. Coelho, Zoilo Pires dè Camargo, M. R. Montenegro, Makoto Miyaji and Steven Sun. Their work appears in journals such as Infection and Immunity, Transplantation and American Journal of Tropical Medicine and Hygiene.
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.