Donna J. Messersmith

15 total papers · 451 total citations
12 papers, 358 citations indexed

About

Donna J. Messersmith is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Donna J. Messersmith has authored 12 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Donna J. Messersmith's work include BRCA gene mutations in cancer (3 papers), Pain Mechanisms and Treatments (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Donna J. Messersmith is often cited by papers focused on BRCA gene mutations in cancer (3 papers), Pain Mechanisms and Treatments (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Donna J. Messersmith collaborates with scholars based in United States and Netherlands. Donna J. Messersmith's 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, Italo Mocchetti and James Douglass and has published in prestigious journals such as Brain Research, Molecular and Cellular Neuroscience and Journal of Neuroscience Research.

In The Last Decade

Donna J. Messersmith

11 papers receiving 349 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Donna J. Messersmith 155 142 112 101 53 12 358
Mathew Tata 99 0.6× 160 1.1× 68 0.6× 74 0.7× 55 1.0× 9 358
Tyrell Simkins 81 0.5× 92 0.6× 81 0.7× 55 0.5× 52 1.0× 16 314
Gláucia Monteiro de Castro 79 0.5× 100 0.7× 123 1.1× 42 0.4× 90 1.7× 20 388
Juan Carlos Chara 128 0.8× 149 1.0× 77 0.7× 54 0.5× 128 2.4× 12 357
D E Korzhevskiy 96 0.6× 139 1.0× 84 0.8× 45 0.4× 72 1.4× 12 346
Christelle Girard 173 1.1× 131 0.9× 76 0.7× 62 0.6× 53 1.0× 8 356
Chitra Joseph 81 0.5× 141 1.0× 44 0.4× 61 0.6× 51 1.0× 9 366
Shoko Takemura 75 0.5× 108 0.8× 62 0.6× 63 0.6× 95 1.8× 20 315
Kyuya Kogure 159 1.0× 131 0.9× 94 0.8× 46 0.5× 175 3.3× 16 387
Kunio Yajima 102 0.7× 155 1.1× 88 0.8× 44 0.4× 92 1.7× 14 372

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

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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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