Emma R. Parmee
- Organic Chemistry top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Co-authors
- R. M. GarbaccioOrin TempkinSatoru MasamuneSpencer D. DreherRichard D. TillyerKevin R. CamposN.K. TerrettJuan C. Alvarez
- Topics
- Diabetes Treatment and Management (14 papers)Receptor Mechanisms and Signaling (13 papers)Peptidase Inhibition and Analysis (6 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Emma R. Parmee
35 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Organic Chemistry 1.0k
- Molecular Biology 731
- Endocrinology, Diabetes and Metabolism 317
- Cellular and Molecular Neuroscience 175
- Oncology 174
Countries citing papers authored by Emma R. Parmee
This map shows the geographic impact of Emma R. Parmee'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 Emma R. Parmee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma R. Parmee more than expected).
Fields of papers citing papers by Emma R. Parmee
This network shows the impact of papers produced by Emma R. Parmee. 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 Emma R. Parmee. The network helps show where Emma R. Parmee may publish in the future.
Co-authorship network of co-authors of Emma R. Parmee
This figure shows the co-authorship network connecting the top 25 collaborators of Emma R. Parmee. A scholar is included among the top collaborators of Emma R. Parmee 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 Emma R. Parmee. Emma R. Parmee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The importance of synthetic chemistry in the pharmaceutical industrybreakdown → | 454 |
| 2 | 57 | |
| 3 | 14 | |
| 4 | 59 | |
| 5 | 22 | |
| 6 | 16 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 31 | |
| 11 | 2 | |
| 12 | 34 | |
| 13 | 28 | |
| 14 | 14 | |
| 15 | 12 | |
| 16 | 179 | |
| 17 | 37 | |
| 18 | 25 | |
| 19 | 74 | |
| 20 | 13 |
About Emma R. Parmee
Emma R. Parmee is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Organic Chemistry, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (14 papers), Receptor Mechanisms and Signaling (13 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Organic Chemistry (1.0k citations), Endocrinology, Diabetes and Metabolism (317 citations) and Pharmaceutical Science (93 citations). Emma R. Parmee has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include R. M. Garbaccio, Orin Tempkin, Satoru Masamune, Spencer D. Dreher, Richard D. Tillyer, Kevin R. Campos, N.K. Terrett, Juan C. Alvarez, Matthew D. Truppo and Paul J. Coleman. Their work appears in journals such as Science, Journal of the American Chemical Society and PLoS ONE.
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.