Christy R. Grace

5.1k citations
56 papers · 3.5k indexed · 1 hit paper · h-index 29
Topics
Ubiquitin and proteasome pathways (9 papers)Cell death mechanisms and regulation (8 papers)RNA Research and Splicing (8 papers)

In The Last Decade

Christy R. Grace

56 papers receiving 3.4k citations

Hit Papers

Valence and patterning of aromatic residues determine the...20202026202220242020200400600

Peers

Christy R. Grace
Comparison fields: 5 of 115
  • Molecular Biology 3.0k
  • Cell Biology 363
  • Oncology 338
  • Epidemiology 327
  • Cellular and Molecular Neuroscience 299
Replace Burkhard Wiesner with:
Burkhard Wiesner Germany
Steven H. Seeholzer United States
Anthony P. H. Wright Sweden
Jun Xing United States
Miles A. Pufall United States
Sepideh Khorasanizadeh United States
Robert D. Phair United States
Örjan Wränge Sweden
Daniel R. Southworth United States
Derek R. Duckett United States
Christy R. Grace relative to Burkhard Wiesner Germany Burkhard Wiesner's profile →
Citations per field
00.5×5.8×
Burkhard Wiesner · 1×
Citations per year

Countries citing papers authored by Christy R. Grace

Since Specialization
Citations

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

Fields of papers citing papers by Christy R. Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christy R. Grace. 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 Christy R. Grace. The network helps show where Christy R. Grace may publish in the future.

Co-authorship network of co-authors of Christy R. Grace

This figure shows the co-authorship network connecting the top 25 collaborators of Christy R. Grace. A scholar is included among the top collaborators of Christy R. Grace 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 Christy R. Grace. Christy R. Grace is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 8
3 22
4 23
5 9
6 9
7 27
8 108
9
Valence and patterning of aromatic residues determine the phase behavior of prion-like domainsbreakdown →
713
10 11
11 16
12 60
13 26
14 181
15 92
16 67
17 36
18 89
19 2
20 9

About Christy R. Grace

Christy R. Grace is a scholar working on Behavioral Neuroscience, Cell Biology and Molecular Biology, having authored 56 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Cell death mechanisms and regulation (8 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Behavioral Neuroscience (142 citations) and Cell Biology (363 citations). Christy R. Grace has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Tanja Mittag, Roland Riek, Erik Martin, Rohit V. Pappu, Alex S. Holehouse, Amanda Nourse, Richard W. Kriwacki, Jean Rivier, Anne Bremer and Mina Farag. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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