Lisa Riedel

1.0k citations
10 papers · 849 indexed · 1 hit paper · h-index 7
Topics
Neuroscience and Neural Engineering (5 papers)Muscle Physiology and Disorders (2 papers)Nerve injury and regeneration (2 papers)
Partner nations
United StatesGermany

In The Last Decade

Lisa Riedel

10 papers receiving 829 citations

Hit Papers

Auto-catalytic ceria nanoparticles offer neuroprotection ...20072026201320192007200400600

Peers

Lisa Riedel
Comparison fields: 5 of 97
  • Materials Chemistry 544
  • Biomedical Engineering 215
  • Molecular Biology 189
  • Electrical and Electronic Engineering 135
  • Cellular and Molecular Neuroscience 119
Replace Jung-Fong Kang with:
Jung-Fong Kang United States
Neelima Bhargava United States
Valérie Salicio Switzerland
Jianwen Gu China
Bingzhe Xu China
Marta d’Amora Italy
Yayu Zhao China
Meysam Ahmadi‐Zeidabadi Iran
Ziyun Jiang China
Doriana Debellis Italy
Lisa Riedel relative to Jung-Fong Kang United States Jung-Fong Kang's profile →
Citations per field
00.5×1.5×
Jung-Fong Kang · 1×
Citations per year

Countries citing papers authored by Lisa Riedel

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Riedel

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 9
3 18
4 11
5 70
6
Auto-catalytic ceria nanoparticles offer neuroprotection to adult rat spinal cord neuronsbreakdown →
651
7 52
8 35
9 1
10 1

About Lisa Riedel

Lisa Riedel is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Orthodontics, having authored 10 papers that have together received 849 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Muscle Physiology and Disorders (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Materials Chemistry (544 citations), Developmental Neuroscience (36 citations) and Cellular and Molecular Neuroscience (119 citations). Lisa Riedel has collaborated with scholars based in United States and Germany. Frequent co-authors include James J. Hickman, Mainak Das, Neelima Bhargava, Jung-Fong Kang, Swanand Patil, Sudipta Seal, Cassie Gregory, Péter Molnár, John W. Rumsey and K Wilson. Their work appears in journals such as Biomaterials, Neuroscience and Materials.

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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