J. M. Nieto
- Endocrinology top 2%
- Escherichia coli research studies 6
- Pollution top 5%
- Microbial bioremediation and biosurfactants 6
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 9
- Parasitology top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 14
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- Herpesvirus Infections and Treatments 10
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- Aquaculture disease management and microbiota 8
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- Myxozoan Parasites in Aquatic Species 6
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- Bacteriophages and microbial interactions 6
- Co-authors
- Marı́a Isabel QuirogaAntonio JuárezCristina MadridRoberto BermúdezMagdalena GrifollJoaquim VilaFabricio Andrés ViglianoNuria Alemañ
- Partner nations
- SpainArgentinaUnited States
In The Last Decade
J. M. Nieto
58 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Endocrinology 275
- Pollution 253
- Molecular Medicine 109
- Parasitology 132
- Genetics 551
Countries citing papers authored by J. M. Nieto
This map shows the geographic impact of J. M. Nieto'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 J. M. Nieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Nieto more than expected).
Fields of papers citing papers by J. M. Nieto
This network shows the impact of papers produced by J. M. Nieto. 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 J. M. Nieto. The network helps show where J. M. Nieto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. M. Nieto, 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 | 2012 | 20 | |
| 2 | 2011 | 53 | |
| 3 | 2010 | 34 | |
| 4 | 2010 | 22 | |
| 5 | 2009 | 15 | |
| 6 | 2008 | 56 | |
| 7 | 2007 | 7 | |
| 8 | 2006 | 25 | |
| 9 | 2005 | 45 | |
| 10 | 2005 | 7 | |
| 11 | 2005 | 17 | |
| 12 | 2004 | 68 | |
| 13 | 2004 | 5 | |
| 14 | 2003 | 10 | |
| 15 | 2001 | 51 | |
| 16 | 2001 | 22 | |
| 17 | 1998 | 19 | |
| 18 | 1995 | 10 | |
| 19 | Nodular typhlitis of pheasants caused by Heterakis isolonche: further evidence of a neoplastic nature. | 1992 | 7 |
| 20 | Aphids and their capture using traps: the Euraphid network. | 1990 | 1 |
About J. M. Nieto
J. M. Nieto is a scholar working on Molecular Medicine, Endocrinology and Parasitology, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Herpesvirus Infections and Treatments (10 papers), Antibiotic Resistance in Bacteria (9 papers), Aquaculture disease management and microbiota (8 papers), Myxozoan Parasites in Aquatic Species (6 papers), Escherichia coli research studies (6 papers), Bacteriophages and microbial interactions (6 papers) and Microbial bioremediation and biosurfactants (6 papers). The work is most often cited by research in Endocrinology (275 citations), Pollution (253 citations) and Molecular Medicine (109 citations). J. M. Nieto has collaborated with scholars based in Spain, Argentina and United States. Frequent co-authors include Marı́a Isabel Quiroga, Antonio Juárez, Cristina Madrid, Roberto Bermúdez, Magdalena Grifoll, Joaquim Vila, Fabricio Andrés Vigliano, Nuria Alemañ, Mónica López‐Peña and Dirk Springael. Their work appears in journals such as PLoS ONE, Bioresource Technology and Journal of Virology.
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.