Susan T Harbison
- Cellular and Molecular Neuroscience top 5%
- Genetics top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Trudy F. C. MackayYazmin L. Serrano NegronRichard F. LymanAmita SehgalMary Anna CarboneRobert R. H. AnholtKim P KamdarBrian Oliver
- Topics
- Neurobiology and Insect Physiology Research (24 papers)Circadian rhythm and melatonin (14 papers)Genetics, Aging, and Longevity in Model Organisms (8 papers)
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Susan T Harbison
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 460
- Genetics 442
- Molecular Biology 320
- Ecology, Evolution, Behavior and Systematics 186
- Endocrine and Autonomic Systems 181
Countries citing papers authored by Susan T Harbison
This map shows the geographic impact of Susan T Harbison'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 Harbison 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 Harbison more than expected).
Fields of papers citing papers by Susan T Harbison
This network shows the impact of papers produced by Susan T Harbison. 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 Harbison. The network helps show where Susan T Harbison may publish in the future.
Co-authorship network of co-authors of Susan T Harbison
This figure shows the co-authorship network connecting the top 25 collaborators of Susan T Harbison. A scholar is included among the top collaborators of Susan T Harbison 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 Harbison. Susan T Harbison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 25 | |
| 9 | 8 | |
| 10 | 38 | |
| 11 | 26 | |
| 12 | 10 | |
| 13 | 109 | |
| 14 | 18 | |
| 15 | 23 | |
| 16 | 40 | |
| 17 | 78 | |
| 18 | 39 | |
| 19 | 93 | |
| 20 | 88 |
About Susan T Harbison
Susan T Harbison is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (24 papers), Circadian rhythm and melatonin (14 papers) and Genetics, Aging, and Longevity in Model Organisms (8 papers). The work is most often cited by research in Aging (148 citations), Endocrine and Autonomic Systems (181 citations) and Cellular and Molecular Neuroscience (460 citations). Susan T Harbison has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Trudy F. C. Mackay, Yazmin L. Serrano Negron, Richard F. Lyman, Amita Sehgal, Mary Anna Carbone, Robert R. H. Anholt, Kim P Kamdar, Brian Oliver, Sherman Chang and Zhen‐Xia Chen. Their work appears in journals such as Nature Genetics, PLoS ONE and Current Biology.
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.