Steven H. Nye
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Immunology top 5%
- Oncology top 5%
- Developmental Neuroscience top 1%
- Co-authors
- Nancy Y. IpGeorge D. YancopoulosTeri G. BoultonRonald A. DePinhoMelanie H. CobbNikos PanayotatosDavid J. RobbinsSharon D. Morgenbesser
- Topics
- Photosynthetic Processes and Mechanisms (3 papers)Microbial Metabolic Engineering and Bioproduction (3 papers)Bacterial Genetics and Biotechnology (3 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Steven H. Nye
22 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 1.2k
- Immunology 766
- Oncology 567
- Developmental Neuroscience 516
Countries citing papers authored by Steven H. Nye
This map shows the geographic impact of Steven H. Nye'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 Steven H. Nye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven H. Nye more than expected).
Fields of papers citing papers by Steven H. Nye
This network shows the impact of papers produced by Steven H. Nye. 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 Steven H. Nye. The network helps show where Steven H. Nye may publish in the future.
Co-authorship network of co-authors of Steven H. Nye
This figure shows the co-authorship network connecting the top 25 collaborators of Steven H. Nye. A scholar is included among the top collaborators of Steven H. Nye 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 Steven H. Nye. Steven H. Nye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 75 | |
| 8 | 281 | |
| 9 | 38 | |
| 10 | 17 | |
| 11 | 21 | |
| 12 | 63 | |
| 13 | 129 | |
| 14 | Mammalian neurotrophin-4: structure, chromosomal localization, tissue distribution, and receptor specificity.breakdown → | 529 |
| 15 | CNTF and LIF act on neuronal cells via shared signaling pathways that involve the IL-6 signal transducing receptor component gp130breakdown → | 593 |
| 16 | 260 | |
| 17 | ERKs: A family of protein-serine/threonine kinases that are activated and tyrosine phosphorylated in response to insulin and NGFbreakdown → | 1666 |
| 18 | 13 | |
| 19 | 6 | |
| 20 | 19 |
About Steven H. Nye
Steven H. Nye is a scholar working on Developmental Neuroscience, Immunology and Behavioral Neuroscience, having authored 22 papers that have together received 3.8k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Developmental Neuroscience (516 citations), Cellular and Molecular Neuroscience (1.2k citations) and Immunology (766 citations). Steven H. Nye has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Nancy Y. Ip, George D. Yancopoulos, Teri G. Boulton, Ronald A. DePinho, Melanie H. Cobb, Nikos Panayotatos, David J. Robbins, Sharon D. Morgenbesser, S P Squinto and Stephen P. Squinto. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.