Jessica M. Hoffman
- Genetics top 5%
- Molecular Biology
- Physiology top 10%
- Aging top 1%
- Ecology top 10%
- Co-authors
- Daniel PromislowSteven N. AustadKate E. CreevyDan G. O’NeillPeter B. MarkoTamara M. McGovernCarson C. KeeverTeresa G. Valencak
- Topics
- Genetics, Aging, and Longevity in Model Organisms (17 papers)Human-Animal Interaction Studies (12 papers)Adipose Tissue and Metabolism (8 papers)
- Cited by
- AgingSmall AnimalsEquine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEMolecular Ecology
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jessica M. Hoffman
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Genetics 394
- Molecular Biology 345
- Physiology 248
- Aging 235
- Ecology 184
Countries citing papers authored by Jessica M. Hoffman
This map shows the geographic impact of Jessica M. Hoffman'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 Jessica M. Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica M. Hoffman more than expected).
Fields of papers citing papers by Jessica M. Hoffman
This network shows the impact of papers produced by Jessica M. Hoffman. 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 Jessica M. Hoffman. The network helps show where Jessica M. Hoffman may publish in the future.
Co-authorship network of co-authors of Jessica M. Hoffman
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica M. Hoffman. A scholar is included among the top collaborators of Jessica M. Hoffman 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 Jessica M. Hoffman. Jessica M. Hoffman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 25 | |
| 16 | 24 | |
| 17 | 40 | |
| 18 | Perceptual Learning in Early Mathematics: Interacting with Problem Structure Improves Mapping, Solving and Fluency. | 1 |
| 19 | 16 | |
| 20 | 189 |
About Jessica M. Hoffman
Jessica M. Hoffman is a scholar working on Aging, Small Animals and Biological Psychiatry, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (17 papers), Human-Animal Interaction Studies (12 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Aging (235 citations), Small Animals (144 citations) and Equine (24 citations). Jessica M. Hoffman has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Daniel Promislow, Steven N. Austad, Kate E. Creevy, Dan G. O’Neill, Peter B. Marko, Tamara M. McGovern, Carson C. Keever, Teresa G. Valencak, Dean P. Jones and Alexander Franks. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecular Ecology.
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.