Dawn Smith

784 citations
20 papers · 673 · h-index 14

Impact in

Papers in

    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 2
    • interferon and immune responses 2
    • Connexins and lens biology 3

Dawn Smith

19 papers receiving 666 citations

Peers

Dawn Smith
Comparison fields: 5 of 78
  • Clinical Biochemistry 133
  • Ophthalmology 161
  • Immunology 221
  • Biological Psychiatry 23
  • Virology 39
Replace Arivalagan Muthusamy with:
Arivalagan Muthusamy United States
L. Almulki United States
Amy Dressen United States
Judith Lechner United Kingdom
Guangpu Shi United States
Martin Busch Germany
Miin Roh United States
Muh‐Shy Chen Taiwan
Yansui Li United States
Esther Bandala‐Sanchez Australia
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Citations per field
00.5×4.9×
Arivalagan Muthusamy · 1×
Citations per year

Countries citing papers authored by Dawn Smith

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200692
2 199877
3 201656
4 199650
5 200049
6 200446
7 199742
8 200441
9 201239
10 200134
11 201933
12 199929
13 201229
14 200816
15 201813
16 199512
17 199710
18
Detection of islet cell surface antibodies using cloned beta cells and comparison of their incidence with that of islet cell cytoplasmic antibodies.
19853
19 19752
20 20230

About Dawn Smith

Dawn Smith is a scholar working on Immunology, Molecular Biology, Epidemiology, Clinical Biochemistry and Genetics, having authored 20 papers that have together received 673 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (3 papers), T-cell and B-cell Immunology (3 papers), Connexins and lens biology (3 papers), Tryptophan and brain disorders (2 papers), Immune Cell Function and Interaction (2 papers), interferon and immune responses (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Clinical Biochemistry (133 citations), Ophthalmology (161 citations), Immunology (221 citations), Biological Psychiatry (23 citations) and Virology (39 citations). Dawn Smith has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David R. Kaplan, Scott F. Sieg, Ram H. Nagaraj, Manjunatha B. Bhat, Antonia G. Miller, Timothy S. Kern, Bing-Fen Liu, Scott J. Howell, Nicole Pecora and Nobuhiko Kayagaki. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Proceedings of the National Academy of Sciences, Cytometry, Journal of Diabetes and its Complications and Cellular Immunology.

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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