Donna J. Messersmith

451 citations
12 papers · 357 indexed · h-index 8
Topics
BRCA gene mutations in cancer (3 papers)Pain Mechanisms and Treatments (3 papers)Neuropeptides and Animal Physiology (3 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Donna J. Messersmith

11 papers receiving 348 citations

Peers

Donna J. Messersmith
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 153
  • Molecular Biology 141
  • Developmental Neuroscience 112
  • Physiology 101
  • Neurology 53
Replace Kirsty Greenwood with:
Kirsty Greenwood United Kingdom
Glòria Arqué Spain
Gláucia Monteiro de Castro Brazil
Yangtao He China
Isabelle Comte France
Anthony Fernández-Castañeda United States
Sarah Joost Germany
Wei Duan China
Annemarie Woolston United Kingdom
Grant C. Walters United States
Donna J. Messersmith relative to Kirsty Greenwood United Kingdom Kirsty Greenwood's profile →
Citations per field
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Kirsty Greenwood · 1×
Citations per year

Countries citing papers authored by Donna J. Messersmith

Since Specialization
Citations

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

Fields of papers citing papers by Donna J. Messersmith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna J. Messersmith. 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 Donna J. Messersmith. The network helps show where Donna J. Messersmith may publish in the future.

Co-authorship network of co-authors of Donna J. Messersmith

This figure shows the co-authorship network connecting the top 25 collaborators of Donna J. Messersmith. A scholar is included among the top collaborators of Donna J. Messersmith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donna J. Messersmith. Donna J. Messersmith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 0
3 12
4
A Web-based assessment of bioinformatics end-user support services at US universities.
12
5 135
6 85
7 23
8 2
9 37
10 1
11 28
12 20

About Donna J. Messersmith

Donna J. Messersmith is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Insect Science, having authored 12 papers that have together received 357 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), Pain Mechanisms and Treatments (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Developmental Neuroscience (112 citations), Cellular and Molecular Neuroscience (153 citations) and Neurology (53 citations). Donna J. Messersmith has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Michael J. Iadarola, David J. Kim, Tuan Q. Le, Emma E. Frost, Regina C. Armstrong, Joshua Murtie, Ronald Dubner, Lawrence F. Kromer, James Douglass and Michele Fabrazzo. Their work appears in journals such as Brain Research, Molecular and Cellular Neuroscience and Journal of Neuroscience Research.

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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