Barbara Graham
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Viral Infections and Vectors
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
-
- Tuberculosis Research and Epidemiology 8
-
- Metabolomics and Mass Spectrometry Studies 4
- Co-authors
- John T. Belisle (7 shared papers)M. Nurul Islam (7 shared papers)Delphi Chatterjee (4 shared papers)Anita G. Amin (4 shared papers)Nunya Chotiwan (2 shared papers)Rushika Perera (2 shared papers)Gary P. Wormser (3 shared papers)Laura V. Ashton (3 shared papers)
- Journals
- Viruses (3 papers)Scientific Reports (2 papers)ACS Infectious Diseases (2 papers)PLoS ONE (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesBrazilThailand
In The Last Decade
Barbara Graham
22 papers receiving 283 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 144
- Parasitology 35
- Insect Science 49
- Molecular Medicine 15
- Epidemiology 77
Countries citing papers authored by Barbara Graham
This map shows the geographic impact of Barbara Graham'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 Barbara Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Graham more than expected).
Fields of papers citing papers by Barbara Graham
This network shows the impact of papers produced by Barbara Graham. 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 Barbara Graham. The network helps show where Barbara Graham may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Graham, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 44 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 36 | |
| 4 | 2019 | 20 | |
| 5 | 2019 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2021 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Barbara Graham
Barbara Graham is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 23 papers that have together received 285 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mosquito-borne diseases and control (4 papers), Virus-based gene therapy research (3 papers), Animal Virus Infections Studies (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Insect-Plant Interactions and Control (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Infectious Diseases (144 citations), Parasitology (35 citations), Insect Science (49 citations), Molecular Medicine (15 citations) and Epidemiology (77 citations). Barbara Graham has collaborated with scholars based in United States, Brazil and Thailand. Frequent co-authors include John T. Belisle, M. Nurul Islam, Delphi Chatterjee, Anita G. Amin, Nunya Chotiwan, Rushika Perera, Gary P. Wormser, Laura V. Ashton, Saravanan Dayalan and Andrey Borisov. Their work appears in journals such as Viruses, Scientific Reports, ACS Infectious Diseases, PLoS ONE and Clinical Infectious Diseases.
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.