Susan T. Howard
- Epidemiology top 2%
- Infectious Diseases top 1%
- Molecular Biology top 10%
- Virology top 1%
- Genetics top 5%
- Co-authors
- Geoffrey L. SmithYS ChanBabette GwynnJoseph JerryWilliam LandschulzSteven L. McKnightE H BirkenmeierJeffrey I. Gordon
- Topics
- Tuberculosis Research and Epidemiology (21 papers)Mycobacterium research and diagnosis (17 papers)Infectious Diseases and Mycology (6 papers)
- Journals
- Proceedings of the National Academy of SciencesGenes & DevelopmentThe Journal of Immunology
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Susan T. Howard
32 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Epidemiology 1.5k
- Infectious Diseases 1.0k
- Molecular Biology 849
- Virology 492
- Genetics 490
Countries citing papers authored by Susan T. Howard
This map shows the geographic impact of Susan T. Howard'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 Susan T. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan T. Howard more than expected).
Fields of papers citing papers by Susan T. Howard
This network shows the impact of papers produced by Susan T. Howard. 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 Susan T. Howard. The network helps show where Susan T. Howard may publish in the future.
Co-authorship network of co-authors of Susan T. Howard
This figure shows the co-authorship network connecting the top 25 collaborators of Susan T. Howard. A scholar is included among the top collaborators of Susan T. Howard 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 Susan T. Howard. Susan T. Howard 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 | 135 | |
| 3 | 30 | |
| 4 | 3 | |
| 5 | 22 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 263 | |
| 9 | 35 | |
| 10 | 68 | |
| 11 | 60 | |
| 12 | 54 | |
| 13 | 11 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | 191 | |
| 17 | 114 | |
| 18 | 144 | |
| 19 | 119 | |
| 20 | Tissue-specific expression, developmental regulation, and genetic mapping of the gene encoding CCAAT/enhancer binding protein.breakdown → | 594 |
About Susan T. Howard
Susan T. Howard is a scholar working on Virology, Infectious Diseases and Molecular Medicine, having authored 32 papers that have together received 2.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (21 papers), Mycobacterium research and diagnosis (17 papers) and Infectious Diseases and Mycology (6 papers). The work is most often cited by research in Virology (492 citations), Infectious Diseases (1.0k citations) and Epidemiology (1.5k citations). Susan T. Howard has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Geoffrey L. Smith, YS Chan, Babette Gwynn, Joseph Jerry, William Landschulz, Steven L. McKnight, E H Birkenmeier, Jeffrey I. Gordon, Xiuhua Pang and Thomas F. Byrd. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development 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.