José Molina-López
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Enterobacteriaceae and Cronobacter Research
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Escherichia coli research studies 11
- Enterobacteriaceae and Cronobacter Research 4
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- Antibiotic Resistance in Bacteria 10
- Co-authors
- Eduardo Santero (3 shared papers)Fernando Govantes (2 shared papers)Rosa María Ribas‐Aparicio (5 shared papers)Gerardo Aparicio‐Ozores (5 shared papers)Rigoberto Hernández‐Castro (2 shared papers)François Sanschagrin (1 shared paper)Roger C. Lévesque (1 shared paper)Isela Parra‐Rojas (2 shared papers)
In The Last Decade
José Molina-López
22 papers receiving 326 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 140
- Molecular Medicine 113
- Epidemiology 98
- Ecology 68
- Microbiology 14
Countries citing papers authored by José Molina-López
This map shows the geographic impact of José Molina-López'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 José Molina-López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Molina-López more than expected).
Fields of papers citing papers by José Molina-López
This network shows the impact of papers produced by José Molina-López. 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 José Molina-López. The network helps show where José Molina-López may publish in the future.
Co-authors
The 24 scholars most cited alongside José Molina-López, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 69 | |
| 2 | 1996 | 48 | |
| 3 | 1994 | 36 | |
| 4 | 2016 | 35 | |
| 5 | 2006 | 23 | |
| 6 | 2016 | 19 | |
| 7 | 2006 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2017 | 14 | |
| 10 | 2021 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 1997 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 1999 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 1 |
About José Molina-López
José Molina-López is a scholar working on Endocrinology, Molecular Medicine, Molecular Biology, Ecology and Epidemiology, having authored 22 papers that have together received 337 indexed citations. Recurring topics across this work include Escherichia coli research studies (11 papers), Antibiotic Resistance in Bacteria (10 papers), Bacteriophages and microbial interactions (7 papers), Urinary Tract Infections Management (6 papers), Bacterial Genetics and Biotechnology (5 papers), Enterobacteriaceae and Cronobacter Research (4 papers), Gut microbiota and health (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Endocrinology (140 citations), Molecular Medicine (113 citations), Epidemiology (98 citations), Ecology (68 citations) and Microbiology (14 citations). José Molina-López has collaborated with scholars based in Mexico, Spain and Guatemala. Frequent co-authors include Eduardo Santero, Fernando Govantes, Rosa María Ribas‐Aparicio, Gerardo Aparicio‐Ozores, Rigoberto Hernández‐Castro, François Sanschagrin, Roger C. Lévesque, Isela Parra‐Rojas, José Luís Balcázar and Abraham Landa. Their work appears in journals such as Microbial Pathogenesis, Diagnostic Microbiology and Infectious Disease, Journal of Bacteriology, Infection and Immunity and Journal of Medical Microbiology.
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.