Andrew M. Leifer
- Aging top 0.2%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Endocrine and Autonomic Systems top 1%
- Molecular Biology
- Co-authors
- Mark J. AlkemaAravinthan D. T. SamuelMarc GershowChristopher Fang‐YenJoshua W. ShaevitzKristin BransonDavid J. AndersonPietro Perona
- Topics
- Genetics, Aging, and Longevity in Model Organisms (24 papers)Circadian rhythm and melatonin (19 papers)Photoreceptor and optogenetics research (12 papers)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Andrew M. Leifer
30 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Aging 699
- Cellular and Molecular Neuroscience 652
- Cognitive Neuroscience 490
- Endocrine and Autonomic Systems 465
- Molecular Biology 380
Countries citing papers authored by Andrew M. Leifer
This map shows the geographic impact of Andrew M. Leifer'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 Andrew M. Leifer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew M. Leifer more than expected).
Fields of papers citing papers by Andrew M. Leifer
This network shows the impact of papers produced by Andrew M. Leifer. 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 Andrew M. Leifer. The network helps show where Andrew M. Leifer may publish in the future.
Co-authorship network of co-authors of Andrew M. Leifer
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. Leifer. A scholar is included among the top collaborators of Andrew M. Leifer 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 Andrew M. Leifer. Andrew M. Leifer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 63 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | Large-scale neural recordings call for new insights to link brain and behaviorbreakdown → | 150 |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 17 | |
| 14 | 41 | |
| 15 | 46 | |
| 16 | Whole-brain calcium imaging with cellular resolution in freely behaving Caenorhabditis elegans | 29 |
| 17 | Simultaneous optogenetic manipulation and calcium imaging in freely moving C. elegans [preprint] | 51 |
| 18 | 186 | |
| 19 | 241 | |
| 20 | 239 |
About Andrew M. Leifer
Andrew M. Leifer is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (24 papers), Circadian rhythm and melatonin (19 papers) and Photoreceptor and optogenetics research (12 papers). The work is most often cited by research in Aging (699 citations), Endocrine and Autonomic Systems (465 citations) and Cellular and Molecular Neuroscience (652 citations). Andrew M. Leifer has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Mark J. Alkema, Aravinthan D. T. Samuel, Marc Gershow, Christopher Fang‐Yen, Joshua W. Shaevitz, Kristin Branson, David J. Anderson, Pietro Perona, Sandeep Robert Datta and Mochi Liu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.