Deborah E. Hall

16 papers receiving 2.1k citations

Deborah E. Hall's Hit Papers

A cell culture model of the blood-brain barrier. 1991 · 618 citations
6180+11+23Years since publication200400600

Peers

Deborah E. Hall
Comparison fields: 5 of 100
  • Immunology and Allergy 669
  • Neurology 435
  • Developmental Neuroscience 152
  • Cellular and Molecular Neuroscience 615
  • Cell Biology 549
Replace Jan Matthias Kruse with:
Jan Matthias Kruse Germany
Ben A. Murray United States
Hilary E. Beggs United States
Fumiaki Saito Japan
Susan Kenwrick United Kingdom
Janne Balsamo United States
Tracy L. Hagemann United States
Cindy K. Miranti United States
Xiaojing Ye China
Jere E. Meredith United States
Deborah E. Hall relative to Jan Matthias Kruse Germany Jan Matthias Kruse's profile →
Citations per field
00.5×2.9×
Jan Matthias Kruse · 1×
Citations per year

Countries citing papers authored by Deborah E. Hall

Since Specialization
Citations

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

Fields of papers citing papers by Deborah E. Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah E. Hall. 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 Deborah E. Hall. The network helps show where Deborah E. Hall may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
A cell culture model of the blood-brain barrier.
Hit paper breakdown →
1991618
2 1996355
3 1990340
4 1987222
5 1990163
6 1994104
7 198966
8 199163
9 199149
10 198844
11 198842
12 199033
13 199220
14 200618
15 200613
16 19791

About Deborah E. Hall

Deborah E. Hall is a scholar working on Immunology and Allergy, Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research and Cell Biology, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Protease and Inhibitor Mechanisms (5 papers), Axon Guidance and Neuronal Signaling (3 papers), S100 Proteins and Annexins (2 papers), Bone and Dental Protein Studies (2 papers), Barrier Structure and Function Studies (2 papers), Nerve injury and regeneration (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Immunology and Allergy (669 citations), Neurology (435 citations), Developmental Neuroscience (152 citations), Cellular and Molecular Neuroscience (615 citations) and Cell Biology (549 citations). Deborah E. Hall has collaborated with scholars based in United States, Italy and New Zealand. Frequent co-authors include Louis F. Reichardt, Karla M. Neugebauer, Louis F. Reichardt, Mary J. Janatpour, Chen Liaw, Stephen Porter, Jose G Ruiz de Morales, Catherine Cannon, Heidi C. Horner and Kizzie Manning. Their work appears in journals such as The Journal of Cell Biology, Cold Spring Harbor Symposia on Quantitative Biology, Developmental Neuroscience, Journal of Biological Chemistry and Journal of Neuroscience.

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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