G. Mora
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
- Surgery 2
- Heparin-Induced Thrombocytopenia and Thrombosis 1
-
- RNA and protein synthesis mechanisms 2
- Co-authors
- C. G. Kurland (2 shared papers)S. J. S. Hardy (1 shared paper)D. Donner (1 shared paper)Gary R. Craven (1 shared paper)Pallaiah Thammana (1 shared paper)Leonard C. Lutter (1 shared paper)Lieselotte Aron (1 shared paper)Felipe C. Cabello (1 shared paper)
- Journals
- European Journal of Epidemiology (1 paper)The Journal of Rheumatology (1 paper)Biomedicines (1 paper)Cancer Immunology Immunotherapy (1 paper)Microbial Pathogenesis (1 paper)
- Partner nations
- ArgentinaUnited StatesItaly
In The Last Decade
G. Mora
9 papers receiving 955 citations
G. Mora's Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 939
- Genetics 209
- Spectroscopy 124
- Ecology 159
- Microbiology 34
Countries citing papers authored by G. Mora
This map shows the geographic impact of G. Mora'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. Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Mora more than expected).
Fields of papers citing papers by G. Mora
This network shows the impact of papers produced by G. Mora. 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. Mora. The network helps show where G. Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Mora, 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 | Ribosomal proteins of Escherichia coli. I. Purification of the 30 S ribosomal proteins Hit paper breakdown → | 1969 | 917 |
| 2 | 2009 | 54 | |
| 3 | 1971 | 54 | |
| 4 | 2012 | 32 | |
| 5 | 1987 | 22 | |
| 6 | 1989 | 11 | |
| 7 | 2023 | 3 | |
| 8 | 2008 | 1 | |
| 9 | 1999 | 1 |
About G. Mora
G. Mora is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Ecology and Epidemiology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Bacteriophages and microbial interactions (2 papers), Bacterial Genetics and Biotechnology (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Systemic Sclerosis and Related Diseases (1 paper), Immunotherapy and Immune Responses (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Molecular Biology (939 citations), Genetics (209 citations), Spectroscopy (124 citations), Ecology (159 citations) and Microbiology (34 citations). G. Mora has collaborated with scholars based in Argentina, United States and Italy. Frequent co-authors include C. G. Kurland, S. J. S. Hardy, D. Donner, Gary R. Craven, Pallaiah Thammana, Leonard C. Lutter, Lieselotte Aron, Felipe C. Cabello, Jesús Agüero and Maria Elena Fernandez‐Beros. Their work appears in journals such as European Journal of Epidemiology, The Journal of Rheumatology, Biomedicines, Cancer Immunology Immunotherapy and Microbial Pathogenesis.
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.