David B. Berry

57 papers receiving 2.1k citations

David B. Berry's Hit Papers

High cell density and high-resolution 3D bioprinting for fabricating vascularized tissues 2023 · 166 citations
1660+3+7Years since publication100200300400500

Peers

David B. Berry
Comparison fields: 5 of 126
  • Neurology 293
  • Neurology 416
  • Aging 29
  • Molecular Biology 817
  • Physiology 281
Replace Chul Ho Jang with:
Chul Ho Jang South Korea
Rosario Osta Spain
Claudia Fuoco Italy
Sangchul Rho South Korea
Didier Dréau United States
Yun Gu China
Marimélia Porcionatto Brazil
Zhinong Huang United States
Linlin Wang China
Masahiro Sakurai Japan
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Countries citing papers authored by David B. Berry

Since Specialization
Citations

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

Fields of papers citing papers by David B. Berry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David B. Berry, 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 B. Berry Line = papers co-authored together David B. Berry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evidence for α-synuclein prions causing multiple system atrophy in humans with parkinsonism
Hit paper breakdown →
2015550
2 2008247
3
High cell density and high-resolution 3D bioprinting for fabricating vascularized tissues
Hit paper breakdown →
2023166
4 2016125
5 2013116
6 201176
7 201774
8 201470
9 201969
10 201847
11 202045
12 201941
13 201537
14 201730
15 200827
16 202226
17 200726
18 201726
19 201626
20 196926

About David B. Berry

David B. Berry is a scholar working on Surgery, Biomedical Engineering, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pharmacology, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (10 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Musculoskeletal pain and rehabilitation (8 papers), Scoliosis diagnosis and treatment (8 papers), Spine and Intervertebral Disc Pathology (7 papers), Prion Diseases and Protein Misfolding (6 papers), Neurological diseases and metabolism (5 papers) and Additive Manufacturing and 3D Printing Technologies (4 papers). The work is most often cited by research in Neurology (293 citations), Neurology (416 citations), Aging (29 citations), Molecular Biology (817 citations) and Physiology (281 citations). David B. Berry has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Audrey P. Gasch, Samuel R. Ward, Stanley B. Prusiner, Kurt Giles, Abby Oehler, Joel C. Watts, Shaochen Chen, Amanda L. Woerman, Bahar Shahidi and Smita S. Patel. Their work appears in journals such as Magnetic Resonance in Medicine, Biomaterials Science, BMC Musculoskeletal Disorders, Advanced Functional Materials and Proceedings of the National Academy of Sciences.

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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