Fernando Leonardi‐Essmann
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Immunology
- Cognitive Neuroscience
- Biological Psychiatry top 10%
- Co-authors
- Rainer SpanagelPeter J. Gebicke‐HaerterValentina VengelieneStéphanie Perreau‐LenzKarla DrescherWolfgang H. SommerGerhard GroßHugh Marston
- Topics
- Bioinformatics and Genomic Networks (4 papers)Gene expression and cancer classification (3 papers)Genetic Associations and Epidemiology (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiological PsychiatryThe FASEB Journal
- Partner nations
- GermanyChileUnited Kingdom
In The Last Decade
Fernando Leonardi‐Essmann
12 papers receiving 361 citations
Peers
Comparison fields: 5 of 62
- Cellular and Molecular Neuroscience 170
- Molecular Biology 158
- Immunology 57
- Cognitive Neuroscience 56
- Biological Psychiatry 52
Countries citing papers authored by Fernando Leonardi‐Essmann
This map shows the geographic impact of Fernando Leonardi‐Essmann'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 Fernando Leonardi‐Essmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Leonardi‐Essmann more than expected).
Fields of papers citing papers by Fernando Leonardi‐Essmann
This network shows the impact of papers produced by Fernando Leonardi‐Essmann. 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 Fernando Leonardi‐Essmann. The network helps show where Fernando Leonardi‐Essmann may publish in the future.
Co-authorship network of co-authors of Fernando Leonardi‐Essmann
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Leonardi‐Essmann. A scholar is included among the top collaborators of Fernando Leonardi‐Essmann 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 Fernando Leonardi‐Essmann. Fernando Leonardi‐Essmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 14 | |
| 4 | 22 | |
| 5 | 60 | |
| 6 | 29 | |
| 7 | 56 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 91 | |
| 11 | 57 | |
| 12 | 19 |
About Fernando Leonardi‐Essmann
Fernando Leonardi‐Essmann is a scholar working on Biological Psychiatry, Neurology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 366 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Biological Psychiatry (52 citations), Cellular and Molecular Neuroscience (170 citations) and Behavioral Neuroscience (25 citations). Fernando Leonardi‐Essmann has collaborated with scholars based in Germany, Chile and United Kingdom. Frequent co-authors include Rainer Spanagel, Peter J. Gebicke‐Haerter, Valentina Vengeliene, Stéphanie Perreau‐Lenz, Karla Drescher, Wolfgang H. Sommer, Gerhard Groß, Hugh Marston, Yoshihisa Kitamura and Michael Emig. Their work appears in journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and The FASEB Journal.
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.