Yemiliya Berman
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Endocrine and Autonomic Systems top 2%
- Physiology top 10%
- Cell Biology top 5%
- Co-authors
- Lakshmi A. DeviKenneth D. CarrWalter StrappsKevin J. LeeGilles HerradaGilad BarneaRichard AxelJane Jun‐Xin Ong
- Topics
- Neuropeptides and Animal Physiology (12 papers)Receptor Mechanisms and Signaling (7 papers)Regulation of Appetite and Obesity (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Cell Biology
- Partner nations
- United StatesBrazilNetherlands
In The Last Decade
Yemiliya Berman
23 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 928
- Cellular and Molecular Neuroscience 632
- Endocrine and Autonomic Systems 338
- Physiology 262
- Cell Biology 260
Countries citing papers authored by Yemiliya Berman
This map shows the geographic impact of Yemiliya Berman'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 Yemiliya Berman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yemiliya Berman more than expected).
Fields of papers citing papers by Yemiliya Berman
This network shows the impact of papers produced by Yemiliya Berman. 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 Yemiliya Berman. The network helps show where Yemiliya Berman may publish in the future.
Co-authorship network of co-authors of Yemiliya Berman
This figure shows the co-authorship network connecting the top 25 collaborators of Yemiliya Berman. A scholar is included among the top collaborators of Yemiliya Berman 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 Yemiliya Berman. Yemiliya Berman 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 genetic design of signaling cascades to record receptor activationbreakdown → | 528 |
| 2 | 34 | |
| 3 | 6 | |
| 4 | 76 | |
| 5 | 47 | |
| 6 | 129 | |
| 7 | 14 | |
| 8 | 54 | |
| 9 | 48 | |
| 10 | 75 | |
| 11 | 14 | |
| 12 | 287 | |
| 13 | 35 | |
| 14 | 31 | |
| 15 | 33 | |
| 16 | 137 | |
| 17 | 26 | |
| 18 | 49 | |
| 19 | 15 | |
| 20 | 38 |
About Yemiliya Berman
Yemiliya Berman is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Aging, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (7 papers) and Regulation of Appetite and Obesity (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (338 citations), Cellular and Molecular Neuroscience (632 citations) and Aging (36 citations). Yemiliya Berman has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include Lakshmi A. Devi, Kenneth D. Carr, Walter Strapps, Kevin J. Lee, Gilles Herrada, Gilad Barnea, Richard Axel, Jane Jun‐Xin Ong, Brian Kloss and Ronald C. Beavis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Cell 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.