Diane Woods
- Epidemiology top 5%
- Infectious Diseases top 5%
- Genetics top 5%
- Molecular Biology
- Immunology top 10%
- Co-authors
- Linda L. Williford PiferWalter T. HughesSergio StagnoColin E. BishopMichael MitchellPriscilla K. TuckerJody L. LernerAlexander I. Agulnik
- Topics
- Pneumocystis jirovecii pneumonia detection and treatment (12 papers)HIV/AIDS drug development and treatment (8 papers)Tuberculosis Research and Epidemiology (6 papers)
- Journals
- NatureBloodThe Journal of Immunology
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Diane Woods
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Epidemiology 559
- Infectious Diseases 388
- Genetics 382
- Molecular Biology 330
- Immunology 219
Countries citing papers authored by Diane Woods
This map shows the geographic impact of Diane Woods'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 Diane Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Woods more than expected).
Fields of papers citing papers by Diane Woods
This network shows the impact of papers produced by Diane Woods. 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 Diane Woods. The network helps show where Diane Woods may publish in the future.
Co-authorship network of co-authors of Diane Woods
This figure shows the co-authorship network connecting the top 25 collaborators of Diane Woods. A scholar is included among the top collaborators of Diane Woods 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 Diane Woods. Diane Woods is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 86 | |
| 3 | 91 | |
| 4 | Cystic fibrosis mutations among African Americans in the southeastern United States. | 11 |
| 5 | 114 | |
| 6 | 31 | |
| 7 | 16 | |
| 8 | 129 | |
| 9 | 25 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 15 | |
| 14 | 19 | |
| 15 | 34 | |
| 16 | Lung bacterial clearance following pulmonary contusion. | 31 |
| 17 | 32 | |
| 18 | Pneumocystis carinii Infection: Evidence for High Prevalence in Normal and Immunosuppressed Childrenbreakdown → | 324 |
| 19 | 10 | |
| 20 | 6 |
About Diane Woods
Diane Woods is a scholar working on Infectious Diseases, Epidemiology and Genetics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (12 papers), HIV/AIDS drug development and treatment (8 papers) and Tuberculosis Research and Epidemiology (6 papers). The work is most often cited by research in Infectious Diseases (388 citations), Epidemiology (559 citations) and Genetics (382 citations). Diane Woods has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Linda L. Williford Pifer, Walter T. Hughes, Sergio Stagno, Colin E. Bishop, Michael Mitchell, Priscilla K. Tucker, Jody L. Lerner, Alexander I. Agulnik, Donald Orlic and Donna Rill. Their work appears in journals such as Nature, Blood and The Journal of Immunology.
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.