Helen Billman‐Jacobe
- Infectious Diseases top 1%
- Epidemiology top 2%
- Molecular Biology top 10%
- Molecular Medicine top 1%
- Ecology top 5%
- Co-authors
- Malcolm J. McConvilleRuth HaitesRoss L. CoppelJohn H. PattersonYasu S. MoritaGlenn F. BrowningMustafa KansizDon McNaughton
- Topics
- Mycobacterium research and diagnosis (20 papers)Tuberculosis Research and Epidemiology (16 papers)Bacterial Identification and Susceptibility Testing (12 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Helen Billman‐Jacobe
69 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 1.2k
- Epidemiology 1.1k
- Molecular Biology 853
- Molecular Medicine 413
- Ecology 277
Countries citing papers authored by Helen Billman‐Jacobe
This map shows the geographic impact of Helen Billman‐Jacobe'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 Helen Billman‐Jacobe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Billman‐Jacobe more than expected).
Fields of papers citing papers by Helen Billman‐Jacobe
This network shows the impact of papers produced by Helen Billman‐Jacobe. 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 Helen Billman‐Jacobe. The network helps show where Helen Billman‐Jacobe may publish in the future.
Co-authorship network of co-authors of Helen Billman‐Jacobe
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Billman‐Jacobe. A scholar is included among the top collaborators of Helen Billman‐Jacobe 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 Helen Billman‐Jacobe. Helen Billman‐Jacobe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 33 | |
| 3 | 88 | |
| 4 | 18 | |
| 5 | 24 | |
| 6 | 16 | |
| 7 | 101 | |
| 8 | 14 | |
| 9 | 21 | |
| 10 | 101 | |
| 11 | 58 | |
| 12 | 51 | |
| 13 | Glycopeptidolipid synthesis in mycobacteria | 18 |
| 14 | 56 | |
| 15 | 97 | |
| 16 | 16 | |
| 17 | 16 | |
| 18 | 64 | |
| 19 | 41 | |
| 20 | 68 |
About Helen Billman‐Jacobe
Helen Billman‐Jacobe is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (20 papers), Tuberculosis Research and Epidemiology (16 papers) and Bacterial Identification and Susceptibility Testing (12 papers). The work is most often cited by research in Molecular Medicine (413 citations), Applied Microbiology and Biotechnology (153 citations) and Infectious Diseases (1.2k citations). Helen Billman‐Jacobe has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Malcolm J. McConville, Ruth Haites, Ross L. Coppel, John H. Patterson, Yasu S. Morita, Glenn F. Browning, Mustafa Kansiz, Don McNaughton, James R. Gilkerson and Laura Y. Hardefeldt. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.