Brian P. Witwer

13 papers receiving 2.5k citations

Brian P. Witwer's Hit Papers

Magnetodendrimers allow endosomal magnetic labeling and in vivo tracking of stem cells 2001 · 913 citations
9130+8+16Years since publication250500750

Peers

Brian P. Witwer
Comparison fields: 5 of 112
  • Genetics 332
  • Biomaterials 438
  • Radiology, Nuclear Medicine and Imaging 599
  • Developmental Neuroscience 107
  • Immunology and Allergy 121
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Stasia A. Anderson United States
Paula J. Foster Canada
Guido Piontek Germany
Zhaohui Zhu China
Irina V. Balyasnikova United States
Mohamed K. Khan United States
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Countries citing papers authored by Brian P. Witwer

Since Specialization
Citations

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

Fields of papers citing papers by Brian P. Witwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian P. Witwer. 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 Brian P. Witwer. The network helps show where Brian P. Witwer may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Magnetodendrimers allow endosomal magnetic labeling and in vivo tracking of stem cells
Hit paper breakdown →
2001913
2 1996396
3 2002361
4
Quantitation and physiological characterization of angiogenic vessels in mice: effect of basic fibroblast growth factor, vascular endothelial growth factor/vascular permeability factor, and host microenvironment.
1996200
5 1997161
6 2004148
7 1999141
8
Tumor necrosis factor alpha-induced leukocyte adhesion in normal and tumor vessels: effect of tumor type, transplantation site, and host strain.
1995112
9 200252
10 200349
11 200745
12 200344
13 200036

About Brian P. Witwer

Brian P. Witwer is a scholar working on Immunology and Allergy, Pathology and Forensic Medicine, Molecular Biology, Developmental Neuroscience and Modeling and Simulation, having authored 13 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Pluripotent Stem Cells Research (2 papers), Cervical and Thoracic Myelopathy (2 papers), Platelet Disorders and Treatments (1 paper), Spinal Cord Injury Research (1 paper), Cancer Cells and Metastasis (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Genetics (332 citations), Biomaterials (438 citations), Radiology, Nuclear Medicine and Imaging (599 citations), Developmental Neuroscience (107 citations) and Immunology and Allergy (121 citations). Brian P. Witwer has collaborated with scholars based in United States. Frequent co-authors include Robert J. Melder, Bobbi K. Lewis, Trevor Douglas, Joseph Alan Frank, Peter van Gelderen, Jeff W. M. Bulte, Ian D. Duncan, Holly A. Zywicke, Su‐Chun Zhang and Bruce M. Moskowitz. Their work appears in journals such as Neurosurgery, Journal of neurosurgery, Journal of Magnetic Resonance Imaging, Nature Biotechnology and Nature Medicine.

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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