G Riva
- Molecular Biology
- Plant Science top 5%
- Immunology and Allergy top 2%
- Physiology top 10%
- Biotechnology top 2%
- Co-authors
- Roberto I. Vázquez-PadrónGuillermo Selman‐HouseinCamilo Ayra‐PardoJoel González‐CabreraP. FalagianiRubén López‐RevillaLeticia Neri‐BazanGuillermı́n Agüero-Chapin
- Topics
- Allergic Rhinitis and Sensitization (14 papers)Plant tissue culture and regeneration (8 papers)Asthma and respiratory diseases (8 papers)
In The Last Decade
G Riva
61 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 559
- Plant Science 395
- Immunology and Allergy 297
- Physiology 242
- Biotechnology 231
Countries citing papers authored by G Riva
This map shows the geographic impact of G Riva'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 G Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Riva more than expected).
Fields of papers citing papers by G Riva
This network shows the impact of papers produced by G Riva. 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 G Riva. The network helps show where G Riva may publish in the future.
Co-authorship network of co-authors of G Riva
This figure shows the co-authorship network connecting the top 25 collaborators of G Riva. A scholar is included among the top collaborators of G Riva 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 G Riva. G Riva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 5 | |
| 3 | 34 | |
| 4 | 143 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | Allergic reactions to honey and royal jelly and their relationship with sensitization to compositae. | 31 |
| 9 | 69 | |
| 10 | 82 | |
| 11 | A single-step screening procedure for Pichia pastoris clones, by PCR | 3 |
| 12 | 17 | |
| 13 | 26 | |
| 14 | 26 | |
| 15 | 7 | |
| 16 | 20 | |
| 17 | [Fever of long standing in atrial myxoma]. | 1 |
| 18 | [Changes in serum lipids and lipoproteins in acute hepatitis]. | 4 |
| 19 | ["Protein diarrhea". With a contribution to the problem of so-called essential hypoproteinemia]. | 14 |
| 20 | [Clinical aspects of edema]. | 1 |
About G Riva
G Riva is a scholar working on Immunology and Allergy, Dermatology and Biotechnology, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (14 papers), Plant tissue culture and regeneration (8 papers) and Asthma and respiratory diseases (8 papers). The work is most often cited by research in Immunology and Allergy (297 citations), Biotechnology (231 citations) and Dermatology (164 citations). G Riva has collaborated with scholars based in Italy, Cuba and Mexico. Frequent co-authors include Roberto I. Vázquez-Padrón, Guillermo Selman‐Housein, Camilo Ayra‐Pardo, Joel González‐Cabrera, P. Falagiani, Rubén López‐Revilla, Leticia Neri‐Bazan, Guillermı́n Agüero-Chapin, Leticia Moreno‐Fierros and Francesco Annunziato. Their work appears in journals such as Biochemical and Biophysical Research Communications, Life Sciences and Journal of Theoretical Biology.
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.