David Greenald

571 citations
11 papers · 429 · h-index 7

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Cancer, Hypoxia, and Metabolism

Papers in

David Greenald

10 papers receiving 426 citations

Peers

David Greenald
Comparison fields: 5 of 67
  • Neurology 101
  • Neurology 133
  • Cancer Research 104
  • Genetics 64
  • Developmental Neuroscience 21
Replace I‐Fang Wang with:
I‐Fang Wang Taiwan
Oxana V. Baranova United States
Žaneta Andrusivová Sweden
Jennifer W. Bradford United States
Laura Pasetto Italy
Yuriy Shapovalov United States
Nirma D. Perera Australia
Ina Woods Ireland
Reddy Gali United States
Maria Rosário Almeida Portugal
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Citations per field
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I‐Fang Wang · 1×
Citations per year

Countries citing papers authored by David Greenald

Since Specialization
Citations

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

Fields of papers citing papers by David Greenald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Greenald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Greenald Line = papers co-authored together David Greenald links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011159
2 201393
3 201981
4 201748
5 201527
6 20229
7 20166
8 20204
9 20231
10 20201
11 20250

About David Greenald

David Greenald is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Surgery and Neurology, having authored 11 papers that have together received 429 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Zebrafish Biomedical Research Applications (3 papers), Mitochondrial Function and Pathology (2 papers), Sexual Differentiation and Disorders (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Neurology (101 citations), Neurology (133 citations), Cancer Research (104 citations), Genetics (64 citations) and Developmental Neuroscience (21 citations). David Greenald has collaborated with scholars based in United Kingdom, Singapore and India. Frequent co-authors include Paul R. Heath, Janine Kirby, Adrian Higginbottom, Siân C. Barber, Laura Ferraiuolo, Pamela J. Shaw, Sinnakaruppan Mathavan, Leah Herrgen, Marcus Keatinge and Chiara Herzog. Their work appears in journals such as BMC Medicine, Endocrinology, Biology Open, Brain and Oncotarget.

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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