Whitney M. Nolte
- Molecular Biology
- Materials Chemistry
- Epidemiology
- Renewable Energy, Sustainability and the Environment
- Cellular and Molecular Neuroscience
- Co-authors
- Ramnik J. XavierPetric KuballaAdam CastorenoAlan SaghatelianJoshua C. FalknerVicki L. ColvinWilliam W. YuYunping Liu
- Topics
- Neuropeptides and Animal Physiology (5 papers)Peptidase Inhibition and Analysis (4 papers)Diabetes Treatment and Management (3 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentPhysiologyCellular and Molecular Neuroscience
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAnnual Review of Immunology
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Whitney M. Nolte
15 papers receiving 831 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 283
- Materials Chemistry 185
- Epidemiology 176
- Renewable Energy, Sustainability and the Environment 118
- Cellular and Molecular Neuroscience 100
Countries citing papers authored by Whitney M. Nolte
This map shows the geographic impact of Whitney M. Nolte'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 Whitney M. Nolte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Whitney M. Nolte more than expected).
Fields of papers citing papers by Whitney M. Nolte
This network shows the impact of papers produced by Whitney M. Nolte. 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 Whitney M. Nolte. The network helps show where Whitney M. Nolte may publish in the future.
Co-authorship network of co-authors of Whitney M. Nolte
This figure shows the co-authorship network connecting the top 25 collaborators of Whitney M. Nolte. A scholar is included among the top collaborators of Whitney M. Nolte 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 Whitney M. Nolte. Whitney M. Nolte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 66 | |
| 8 | 20 | |
| 9 | 268 | |
| 10 | 31 | |
| 11 | 38 | |
| 12 | 44 | |
| 13 | 37 | |
| 14 | 50 | |
| 15 | 91 | |
| 16 | 174 |
About Whitney M. Nolte
Whitney M. Nolte is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 846 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Peptidase Inhibition and Analysis (4 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (118 citations), Physiology (25 citations) and Cellular and Molecular Neuroscience (100 citations). Whitney M. Nolte has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Ramnik J. Xavier, Petric Kuballa, Adam Castoreno, Alan Saghatelian, Joshua C. Falkner, Vicki L. Colvin, William W. Yu, Yunping Liu, James M. Tour and Meng Kai Lü. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Annual Review 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.