Grace A. McLaughlin
Impact in
- Parasitology top 5%
- Bartonella species infections research
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
Papers in
-
- RNA Research and Splicing 7
- RNA and protein synthesis mechanisms 4
- Fungal and yeast genetics research 3
- RNA modifications and cancer 2
- Heat shock proteins research 1
- Co-authors
- Amy S. Gladfelter (8 shared papers)Kevin M. Weeks (3 shared papers)Chase A. Weidmann (2 shared papers)Therese M. Gerbich (2 shared papers)Erin M. Langdon (2 shared papers)John Crutchley (2 shared papers)Jean A. Smith (1 shared paper)Sua Myong (1 shared paper)
- Journals
- Results and problems in cell differentiation (1 paper)Infection and Immunity (1 paper)The Journal of Cell Biology (1 paper)Current Biology (1 paper)Physical review. E (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Grace A. McLaughlin
9 papers receiving 847 citations
Grace A. McLaughlin's Hit Papers
Peers
Comparison fields: 5 of 68
- Parasitology 89
- Molecular Biology 666
- Virology 39
- Infectious Diseases 147
- Biochemistry 32
Countries citing papers authored by Grace A. McLaughlin
This map shows the geographic impact of Grace A. McLaughlin'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 Grace A. McLaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace A. McLaughlin more than expected).
Fields of papers citing papers by Grace A. McLaughlin
This network shows the impact of papers produced by Grace A. McLaughlin. 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 Grace A. McLaughlin. The network helps show where Grace A. McLaughlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace A. McLaughlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | mRNA structure determines specificity of a polyQ-driven phase separation Hit paper breakdown → | 2018 | 398 |
| 2 | 2020 | 252 | |
| 3 | 1986 | 98 | |
| 4 | 2022 | 56 | |
| 5 | 2019 | 24 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 14 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 1 |
About Grace A. McLaughlin
Grace A. McLaughlin is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Physiology and Parasitology, having authored 9 papers that have together received 866 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA and protein synthesis mechanisms (4 papers), Fungal and yeast genetics research (3 papers), RNA modifications and cancer (2 papers), Advanced Mathematical Modeling in Engineering (1 paper), Heat shock proteins research (1 paper), Bartonella species infections research (1 paper) and Erythrocyte Function and Pathophysiology (1 paper). The work is most often cited by research in Parasitology (89 citations), Molecular Biology (666 citations), Virology (39 citations), Infectious Diseases (147 citations) and Biochemistry (32 citations). Grace A. McLaughlin has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Amy S. Gladfelter, Kevin M. Weeks, Chase A. Weidmann, Therese M. Gerbich, Erin M. Langdon, John Crutchley, Jean A. Smith, Sua Myong, Amirhossein Ghanbari Niaki and Yupeng Qiu. Their work appears in journals such as Results and problems in cell differentiation, Infection and Immunity, The Journal of Cell Biology, Current Biology and Physical review. E.
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.