Héctor M. Mora‐Montes
- Infectious Diseases top 0.2%
- Antifungal resistance and susceptibility 77
- Epidemiology top 0.5%
- Fungal Infections and Studies 80
- Microbiology top 1%
- Antimicrobial Peptides and Activities 8
- Immunology top 5%
- Plant Science top 2%
- Plant-Microbe Interactions and Immunity 28
- Polysaccharides and Plant Cell Walls 11
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- Glycosylation and Glycoproteins Research 23
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- Carbohydrate Chemistry and Synthesis 18
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- Plant Pathogens and Fungal Diseases 11
- Co-authors
- Neil A. R. GowMihai G. NeteaBart Jan KullbergManuela Gómez-GaviriaLuis A. Pérez-GarcíaCarol A. MunroAlistair J. P. BrownJosé A. Martínez-Álvarez
- Journals
- Journal of Fungi (19 papers)Infection and Drug Resistance (14 papers)Frontiers in Microbiology (10 papers)
- Partner nations
- MexicoUnited KingdomBrazil
In The Last Decade
Héctor M. Mora‐Montes
124 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 129
- Infectious Diseases 3.0k
- Epidemiology 3.0k
- Microbiology 352
- Immunology 891
- Plant Science 1.2k
Countries citing papers authored by Héctor M. Mora‐Montes
This map shows the geographic impact of Héctor M. Mora‐Montes'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 Héctor M. Mora‐Montes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Héctor M. Mora‐Montes more than expected).
Fields of papers citing papers by Héctor M. Mora‐Montes
This network shows the impact of papers produced by Héctor M. Mora‐Montes. 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 Héctor M. Mora‐Montes. The network helps show where Héctor M. Mora‐Montes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Héctor M. Mora‐Montes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 34 | |
| 14 | 2023 | 19 | |
| 15 | 2021 | 24 | |
| 16 | 2021 | 22 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 2 | |
| 19 | 2018 | 23 | |
| 20 | 2015 | 62 |
About Héctor M. Mora‐Montes
Héctor M. Mora‐Montes is a scholar working on Infectious Diseases, Epidemiology and Microbiology, having authored 129 papers that have together received 5.0k indexed citations. Recurring topics across this work include Fungal Infections and Studies (80 papers), Antifungal resistance and susceptibility (77 papers), Plant-Microbe Interactions and Immunity (28 papers), Glycosylation and Glycoproteins Research (23 papers), Carbohydrate Chemistry and Synthesis (18 papers), Polysaccharides and Plant Cell Walls (11 papers), Plant Pathogens and Fungal Diseases (11 papers) and Antimicrobial Peptides and Activities (8 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Epidemiology (3.0k citations) and Microbiology (352 citations). Héctor M. Mora‐Montes has collaborated with scholars based in Mexico, United Kingdom and Brazil. Frequent co-authors include Neil A. R. Gow, Mihai G. Netea, Bart Jan Kullberg, Manuela Gómez-Gaviria, Luis A. Pérez-García, Carol A. Munro, Alistair J. P. Brown, José A. Martínez-Álvarez, Arturo Flores-Carreón and Laura C. García-Carnero. Their work appears in journals such as Journal of Fungi, Infection and Drug Resistance, Frontiers in Microbiology, Fungal Genetics and Biology and Medical Mycology.
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.