Leena E. Williams
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
Papers in
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- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 2
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- Neural dynamics and brain function 4
- Functional Brain Connectivity Studies 1
- Co-authors
- Anthony Holtmaat (3 shared papers)David E. Featherstone (2 shared papers)Ronan Chéreau (1 shared paper)Scott A. Shippy (1 shared paper)Herbert H. Engelhard (1 shared paper)Edward A. Michals (1 shared paper)Tibor Vályi-Nagy (1 shared paper)Karriem S. Watson (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Seminars in Cell and Developmental Biology (1 paper)Medical Oncology (1 paper)The Analyst (1 paper)Neuron (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Leena E. Williams
6 papers receiving 212 citations
Peers
Comparison fields: 5 of 48
- Cellular and Molecular Neuroscience 141
- Cognitive Neuroscience 128
- Neurology 15
- Biological Psychiatry 4
- Sensory Systems 7
Countries citing papers authored by Leena E. Williams
This map shows the geographic impact of Leena E. Williams'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 Leena E. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leena E. Williams more than expected).
Fields of papers citing papers by Leena E. Williams
This network shows the impact of papers produced by Leena E. Williams. 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 Leena E. Williams. The network helps show where Leena E. Williams may publish in the future.
Co-authors
The 10 scholars most cited alongside Leena E. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 150 | |
| 2 | 2014 | 32 | |
| 3 | 2013 | 12 | |
| 4 | 2021 | 11 | |
| 5 | 2015 | 7 | |
| 6 | 2024 | 2 |
About Leena E. Williams
Leena E. Williams is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 214 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroscience and Neural Engineering (2 papers), Photoreceptor and optogenetics research (2 papers), Functional Brain Connectivity Studies (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Glioma Diagnosis and Treatment (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (141 citations), Cognitive Neuroscience (128 citations), Neurology (15 citations), Biological Psychiatry (4 citations) and Sensory Systems (7 citations). Leena E. Williams has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Anthony Holtmaat, David E. Featherstone, Ronan Chéreau, Scott A. Shippy, Herbert H. Engelhard, Edward A. Michals, Tibor Vályi-Nagy, Karriem S. Watson, John L. Villano and Stéphane Pagès. Their work appears in journals such as Journal of Neuroscience, Seminars in Cell and Developmental Biology, Medical Oncology, The Analyst and Neuron.
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.