Jeff W. Lichtman
- Molecular Biology top 0.2%
- Cellular and Molecular Neuroscience top 0.05%
- Biophysics top 0.01%
- Developmental Neuroscience top 0.05%
- Cell Biology top 0.2%
- Co-authors
- Joshua R. SanesJosé-Angel ConchelloQuyen T. NguyenDale PurvesDouglas S. RichardsonThomas MisgeldGuoping FengHyuno Kang
- Topics
- Cell Image Analysis Techniques (53 papers)Neuroscience and Neuropharmacology Research (48 papers)Advanced Fluorescence Microscopy Techniques (44 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Jeff W. Lichtman
217 papers receiving 23.6k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Molecular Biology 10.6k
- Cellular and Molecular Neuroscience 10.5k
- Biophysics 4.1k
- Developmental Neuroscience 3.0k
- Cell Biology 2.7k
Countries citing papers authored by Jeff W. Lichtman
This map shows the geographic impact of Jeff W. Lichtman'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 Jeff W. Lichtman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff W. Lichtman more than expected).
Fields of papers citing papers by Jeff W. Lichtman
This network shows the impact of papers produced by Jeff W. Lichtman. 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 Jeff W. Lichtman. The network helps show where Jeff W. Lichtman may publish in the future.
Co-authorship network of co-authors of Jeff W. Lichtman
This figure shows the co-authorship network connecting the top 25 collaborators of Jeff W. Lichtman. A scholar is included among the top collaborators of Jeff W. Lichtman 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 Jeff W. Lichtman. Jeff W. Lichtman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | Connectomes across development reveal principles of brain maturationbreakdown → | 200 |
| 9 | Connectomic reconstruction of the human midget pathway: unexpected connectivity linked to preterm birth | 1 |
| 10 | 14 | |
| 11 | 16 | |
| 12 | Restricted cone connections of horizontal cells in the human foveal center | 2 |
| 13 | Distinct Profiles of Myelin Distribution Along Single Axons of Pyramidal Neurons in the Neocortexbreakdown → | 398 |
| 14 | 206 | |
| 15 | 406 | |
| 16 | Discovering the wiring diagram of the brain. | 0 |
| 17 | 10 | |
| 18 | 129 | |
| 19 | 277 | |
| 20 | 1 |
About Jeff W. Lichtman
Jeff W. Lichtman is a scholar working on Structural Biology, Biophysics and Developmental Neuroscience, having authored 222 papers that have together received 24.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (53 papers), Neuroscience and Neuropharmacology Research (48 papers) and Advanced Fluorescence Microscopy Techniques (44 papers). The work is most often cited by research in Structural Biology (1.1k citations), Developmental Neuroscience (3.0k citations) and Biophysics (4.1k citations). Jeff W. Lichtman has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Joshua R. Sanes, José-Angel Conchello, Quyen T. Nguyen, Dale Purves, Douglas S. Richardson, Thomas Misgeld, Guoping Feng, Hyuno Kang, Cynthia R. Keller-Peck and M. Bernstein. 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.