Jennifer R. Smith
- Molecular Biology top 10%
- Infectious Diseases top 5%
- Genetics top 10%
- Immunology top 10%
- Epidemiology
- Co-authors
- Martin F. KagnoffLars EckmannMelinda R. DwinellMary ShimoyamaPaul WorkmanStanley J. F. LaulederkindG. Thomas HaymanMichael P. Housley
- Topics
- Bioinformatics and Genomic Networks (30 papers)Biomedical Text Mining and Ontologies (19 papers)Gene expression and cancer classification (16 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jennifer R. Smith
65 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 1.1k
- Infectious Diseases 395
- Genetics 274
- Immunology 253
- Epidemiology 211
Countries citing papers authored by Jennifer R. Smith
This map shows the geographic impact of Jennifer R. Smith'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 Jennifer R. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer R. Smith more than expected).
Fields of papers citing papers by Jennifer R. Smith
This network shows the impact of papers produced by Jennifer R. Smith. 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 Jennifer R. Smith. The network helps show where Jennifer R. Smith may publish in the future.
Co-authorship network of co-authors of Jennifer R. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer R. Smith. A scholar is included among the top collaborators of Jennifer R. Smith 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 Jennifer R. Smith. Jennifer R. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 27 | |
| 6 | 32 | |
| 7 | 18 | |
| 8 | 22 | |
| 9 | 164 | |
| 10 | 55 | |
| 11 | 31 | |
| 12 | Virtual Creative Tool – Next generation’s simulator | 5 |
| 13 | 12 | |
| 14 | 20 | |
| 15 | Using the NCBO Web Services for Concept Recognition and Ontology Annotation of Expression Datasets. | 6 |
| 16 | 47 | |
| 17 | The Kaena Ridge Submarine Rift Zone off Oahu, Hawaii | 4 |
| 18 | Deep Water Multibeam Sonar Surveys on the Hawaiian Ridge | 1 |
| 19 | 189 | |
| 20 | 152 |
About Jennifer R. Smith
Jennifer R. Smith is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine and Transplantation, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (30 papers), Biomedical Text Mining and Ontologies (19 papers) and Gene expression and cancer classification (16 papers). The work is most often cited by research in Parasitology (177 citations), Endocrinology (112 citations) and Infectious Diseases (395 citations). Jennifer R. Smith has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Martin F. Kagnoff, Lars Eckmann, Melinda R. Dwinell, Mary Shimoyama, Paul Workman, Stanley J. F. Laulederkind, G. Thomas Hayman, Michael P. Housley, Shur‐Jen Wang and Marek Tutaj. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.