Leah Sittenfeld

470 total citations · 1 hit paper
9 papers, 296 citations indexed

About

Leah Sittenfeld is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Leah Sittenfeld has authored 9 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Leah Sittenfeld's work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Genetic Neurodegenerative Diseases (2 papers). Leah Sittenfeld is often cited by papers focused on Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Genetic Neurodegenerative Diseases (2 papers). Leah Sittenfeld collaborates with scholars based in United States, France and Switzerland. Leah Sittenfeld's co-authors include Haikel Dridi, Andrew R. Marks, Steve Reiken, Liu Yang, Xiaoping Liu, Qi Yuan, Yang Liu, Marco Miotto, Steven Reiken and Zephan Melville and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Human Molecular Genetics.

In The Last Decade

Leah Sittenfeld

9 papers receiving 292 citations

Hit Papers

Alzheimer's‐like signaling in brains of COVID‐19 patients 2022 2026 2023 2024 2022 40 80 120

Peers

Leah Sittenfeld
Comparison fields: 5 of 66
  • Molecular Biology 129
  • Neurology 103
  • Cardiology and Cardiovascular Medicine 83
  • Neurology 54
  • Cellular and Molecular Neuroscience 47
Replace María A. Pedrosa with:
María A. Pedrosa Spain
Xuefei Li China
Agathe Vrillon France
Shaokuan Fang China
Jonathan Wickel Germany
Shihoko Kimura‐Ohba Japan
Verónica Murta Argentina
Fengli Jiang China
E Fernández-Álvarez Spain
Walid Fazeli Germany
María A. Pedrosa Spain View profile →
Citations per field, relative to Leah Sittenfeld
Leah Sittenfeld · 1×
Citations per year, relative to Leah Sittenfeld
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Countries citing papers authored by Leah Sittenfeld

Since Specialization
Citations

This map shows the geographic impact of Leah Sittenfeld'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 Leah Sittenfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leah Sittenfeld more than expected).

Fields of papers citing papers by Leah Sittenfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah Sittenfeld. 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 Leah Sittenfeld. The network helps show where Leah Sittenfeld may publish in the future.

Co-authorship network of co-authors of Leah Sittenfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Leah Sittenfeld. A scholar is included among the top collaborators of Leah Sittenfeld 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 Leah Sittenfeld. Leah Sittenfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 1
2 33
3 5
4 37
5
Alzheimer's‐like signaling in brains of COVID‐19 patients breakdown →
133
6 29
7 11
8 27
9 20

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.

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