Evan H. Feinberg
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Aging top 0.5%
- Endocrine and Autonomic Systems top 2%
- Genetics top 10%
- Co-authors
- Craig P. HunterCornelia I. BargmannGeorge WangAndrés BendeskyKang ShenMiri K. VanHovenRichard D. FetterMarie E. Sutherlin
- Topics
- Genetics, Aging, and Longevity in Model Organisms (4 papers)CRISPR and Genetic Engineering (3 papers)Neural dynamics and brain function (2 papers)
- Partner nations
- United States
In The Last Decade
Evan H. Feinberg
12 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 989
- Cellular and Molecular Neuroscience 552
- Aging 537
- Endocrine and Autonomic Systems 308
- Genetics 250
Countries citing papers authored by Evan H. Feinberg
This map shows the geographic impact of Evan H. Feinberg'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 Evan H. Feinberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan H. Feinberg more than expected).
Fields of papers citing papers by Evan H. Feinberg
This network shows the impact of papers produced by Evan H. Feinberg. 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 Evan H. Feinberg. The network helps show where Evan H. Feinberg may publish in the future.
Co-authorship network of co-authors of Evan H. Feinberg
This figure shows the co-authorship network connecting the top 25 collaborators of Evan H. Feinberg. A scholar is included among the top collaborators of Evan H. Feinberg 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 Evan H. Feinberg. Evan H. Feinberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 48 | |
| 5 | 82 | |
| 6 | 24 | |
| 7 | 367 | |
| 8 | GFP Reconstitution Across Synaptic Partners (GRASP) Defines Cell Contacts and Synapses in Living Nervous Systemsbreakdown → | 517 |
| 9 | 230 | |
| 10 | 54 | |
| 11 | 113 | |
| 12 | 422 | |
| 13 | Nuevos Datos Sobre La Edad De Las Formaciones Miocenas transgresivas Sobre Las Zonas Internas Béticas: La Formación De San Pedro De Alacántara (Provincia De Málaga) | 18 |
About Evan H. Feinberg
Evan H. Feinberg is a scholar working on Aging, Structural Biology and Neurology, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Aging (537 citations), Endocrine and Autonomic Systems (308 citations) and Cellular and Molecular Neuroscience (552 citations). Evan H. Feinberg has collaborated with scholars based in United States. Frequent co-authors include Craig P. Hunter, Cornelia I. Bargmann, George Wang, Andrés Bendesky, Kang Shen, Miri K. VanHoven, Richard D. Fetter, Marie E. Sutherlin, Amanda J. Wright and William M. Winston. Their work appears in journals such as Nature, Science and Cell.
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.