G. Fermi
Impact in
- Cell Biology top 0.2%
- Hemoglobin structure and function
- Genetics top 1%
- Hemoglobinopathies and Related Disorders
Papers in
- Cell Biology 27
- Hemoglobin structure and function 27
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- Protein Structure and Dynamics 7
- Heme Oxygenase-1 and Carbon Monoxide 6
- Co-authors
- M. F. Perutz (22 shared papers)Boaz Shaanan (3 shared papers)R. Fourme (1 shared paper)Ben F. Luisi (4 shared papers)Claire Poyart (3 shared papers)Penelope E. Stein (2 shared papers)Mark R. Wardell (1 shared paper)Robert Liddington (1 shared paper)
- Journals
- Journal of Molecular Biology (13 papers)Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (4 papers)Biochemistry (3 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
G. Fermi
33 papers receiving 3.1k citations
G. Fermi's Hit Papers
Peers
Comparison fields: 5 of 117
- Cell Biology 2.1k
- Genetics 569
- Pediatrics, Perinatology and Child Health 646
- Physiology 795
- Molecular Biology 1.7k
Countries citing papers authored by G. Fermi
This map shows the geographic impact of G. Fermi'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. Fermi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Fermi more than expected).
Fields of papers citing papers by G. Fermi
This network shows the impact of papers produced by G. Fermi. 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. Fermi. The network helps show where G. Fermi may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Fermi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The crystal structure of human deoxyhaemoglobin at 1.74 Å resolution Hit paper breakdown → | 1984 | 661 |
| 2 | 1975 | 407 | |
| 3 | 1987 | 369 | |
| 4 | 1994 | 329 | |
| 5 | 1986 | 271 | |
| 6 | 1991 | 144 | |
| 7 | 1993 | 138 | |
| 8 | 1990 | 112 | |
| 9 | Haemoglobin and myoglobin | 1981 | 105 |
| 10 | 1978 | 103 | |
| 11 | 1995 | 90 | |
| 12 | 1992 | 84 | |
| 13 | 1987 | 59 | |
| 14 | 1990 | 53 | |
| 15 | 1977 | 52 | |
| 16 | 1991 | 42 | |
| 17 | 1988 | 34 | |
| 18 | 1982 | 31 | |
| 19 | 1996 | 25 | |
| 20 | 1984 | 24 |
About G. Fermi
G. Fermi is a scholar working on Cell Biology, Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics and Spectroscopy, having authored 33 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hemoglobin structure and function (27 papers), Neonatal Health and Biochemistry (12 papers), Hemoglobinopathies and Related Disorders (9 papers), Protein Structure and Dynamics (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Molecular spectroscopy and chirality (4 papers). The work is most often cited by research in Cell Biology (2.1k citations), Genetics (569 citations), Pediatrics, Perinatology and Child Health (646 citations), Physiology (795 citations) and Molecular Biology (1.7k citations). G. Fermi has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include M. F. Perutz, Boaz Shaanan, R. Fourme, Ben F. Luisi, Claire Poyart, Penelope E. Stein, Mark R. Wardell, Robert Liddington, Donald J. Abraham and E Bursaux. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemistry and Cold Spring Harbor Symposia on Quantitative 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.