J. Brandão-Neto
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Structural Biology top 10%
Papers in
-
- Biochemical and Molecular Research 8
- Protein Structure and Dynamics 7
- Fungal and yeast genetics research 4
-
- Enzyme Structure and Function 19
- Co-authors
- F. von Delft (12 shared papers)A. Douangamath (9 shared papers)Nicholas M. Pearce (5 shared papers)H.M. Pereira (18 shared papers)T. Krojer (5 shared papers)R. Talon (5 shared papers)P.M. Collins (5 shared papers)Richard Charles Garratt (11 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Biochimie (3 papers)Journal of Molecular Biology (3 papers)Biochemical Journal (3 papers)Molecular and Biochemical Parasitology (3 papers)
- Partner nations
- United KingdomBrazilSouth Africa
In The Last Decade
J. Brandão-Neto
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Biotechnology 185
- Structural Biology 17
- Molecular Biology 734
- Nutrition and Dietetics 133
- Aging 15
Countries citing papers authored by J. Brandão-Neto
This map shows the geographic impact of J. Brandão-Neto'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. Brandão-Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Brandão-Neto more than expected).
Fields of papers citing papers by J. Brandão-Neto
This network shows the impact of papers produced by J. Brandão-Neto. 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. Brandão-Neto. The network helps show where J. Brandão-Neto may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Brandão-Neto, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 168 | |
| 2 | 2018 | 121 | |
| 3 | 2004 | 74 | |
| 4 | 2017 | 68 | |
| 5 | 2002 | 65 | |
| 6 | 2017 | 64 | |
| 7 | 2021 | 42 | |
| 8 | 2015 | 35 | |
| 9 | 2018 | 34 | |
| 10 | 2017 | 34 | |
| 11 | 2017 | 33 | |
| 12 | 2002 | 32 | |
| 13 | 2014 | 30 | |
| 14 | 2020 | 27 | |
| 15 | 2016 | 22 | |
| 16 | 2021 | 22 | |
| 17 | 2020 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2016 | 15 |
About J. Brandão-Neto
J. Brandão-Neto is a scholar working on Molecular Biology, Materials Chemistry, Epidemiology, Cell Biology and Nutrition and Dietetics, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (19 papers), Biochemical and Molecular Research (8 papers), Protein Structure and Dynamics (7 papers), Enzyme Production and Characterization (6 papers), Parasites and Host Interactions (5 papers), Fungal and yeast genetics research (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Biotechnology (185 citations), Structural Biology (17 citations), Molecular Biology (734 citations), Nutrition and Dietetics (133 citations) and Aging (15 citations). J. Brandão-Neto has collaborated with scholars based in United Kingdom, Brazil and South Africa. Frequent co-authors include F. von Delft, A. Douangamath, Nicholas M. Pearce, H.M. Pereira, T. Krojer, R. Talon, P.M. Collins, Richard Charles Garratt, Igor Polikarpov and Elena V. Eneyskaya. Their work appears in journals such as Journal of Biological Chemistry, Biochimie, Journal of Molecular Biology, Biochemical Journal and Molecular and Biochemical Parasitology.
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.