Annette M. Gero
- Molecular Biology
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Parasitology top 2%
- Co-authors
- William J. O’SullivanJoanne M. UpstonGraham V. BrownAlan R. P. PatersonGraham H. CoombsKiaran KirkAndrew M. WoodGary P. Jamieson
- Topics
- Biochemical and Molecular Research (22 papers)HIV/AIDS drug development and treatment (21 papers)Malaria Research and Control (14 papers)
- Journals
- Nucleic Acids ResearchAnalytical BiochemistryBiochemical and Biophysical Research Communications
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
Annette M. Gero
54 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 505
- Infectious Diseases 353
- Public Health, Environmental and Occupational Health 345
- Epidemiology 339
- Parasitology 221
Countries citing papers authored by Annette M. Gero
This map shows the geographic impact of Annette M. Gero'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 Annette M. Gero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annette M. Gero more than expected).
Fields of papers citing papers by Annette M. Gero
This network shows the impact of papers produced by Annette M. Gero. 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 Annette M. Gero. The network helps show where Annette M. Gero may publish in the future.
Co-authorship network of co-authors of Annette M. Gero
This figure shows the co-authorship network connecting the top 25 collaborators of Annette M. Gero. A scholar is included among the top collaborators of Annette M. Gero 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 Annette M. Gero. Annette M. Gero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 24 | |
| 9 | 3 | |
| 10 | 73 | |
| 11 | 22 | |
| 12 | 14 | |
| 13 | 19 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 20 | |
| 17 | 21 | |
| 18 | 35 | |
| 19 | 22 | |
| 20 | 52 |
About Annette M. Gero
Annette M. Gero is a scholar working on Physiology, Parasitology and Infectious Diseases, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (22 papers), HIV/AIDS drug development and treatment (21 papers) and Malaria Research and Control (14 papers). The work is most often cited by research in Parasitology (221 citations), Physiology (98 citations) and Infectious Diseases (353 citations). Annette M. Gero has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include William J. O’Sullivan, Joanne M. Upston, Graham V. Brown, Alan R. P. Paterson, Graham H. Coombs, Kiaran Kirk, Andrew M. Wood, Gary P. Jamieson, George L. Mendz and Richard I. Christopherson. Their work appears in journals such as Nucleic Acids Research, Analytical Biochemistry and Biochemical and Biophysical Research Communications.
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.