Alison C. Donnelly

1.3k citations
15 papers · 1.1k indexed · h-index 13
Topics
Heat shock proteins research (11 papers)Computational Drug Discovery Methods (4 papers)Protein Structure and Dynamics (3 papers)
Partner nations
United StatesPolandItaly

In The Last Decade

Alison C. Donnelly

14 papers receiving 1.1k citations

Peers

Alison C. Donnelly
Comparison fields: 5 of 83
  • Molecular Biology 897
  • Computational Theory and Mathematics 242
  • Organic Chemistry 157
  • Physical and Theoretical Chemistry 142
  • Immunology 123
Replace Laura B. Peterson with:
Laura B. Peterson United States
Tsutomu Agatsuma Japan
Anuj Khandelwal United States
Gary Brandt United States
Ryszard Szyszka Poland
J.A. Hernandez Prada United States
Michael F. Dee United States
Hee‐Chul Ahn South Korea
Antonija Kuzmanic United Kingdom
Marco Persico Italy
Alison C. Donnelly relative to Laura B. Peterson United States Laura B. Peterson's profile →
Citations per field
00.5×1.5×1.8×
Laura B. Peterson · 1×
Citations per year

Countries citing papers authored by Alison C. Donnelly

Since Specialization
Citations

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

Fields of papers citing papers by Alison C. Donnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison C. Donnelly. 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 Alison C. Donnelly. The network helps show where Alison C. Donnelly may publish in the future.

Co-authorship network of co-authors of Alison C. Donnelly

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 20
3 43
4 75
5 147
6 72
7 147
8 28
9 40
10 83
11 255
12 135
13 21
14 2
15 21

About Alison C. Donnelly

Alison C. Donnelly is a scholar working on Toxicology, Computational Theory and Mathematics and Molecular Biology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heat shock proteins research (11 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (142 citations), Computational Theory and Mathematics (242 citations) and Molecular Biology (897 citations). Alison C. Donnelly has collaborated with scholars based in United States, Poland and Italy. Frequent co-authors include Brian S. J. Blagg, George Vielhauer, Jeffrey M. Holzbeierlein, Roger A. Rajewski, Robert L. Matts, Bhaskar Reddy Kusuma, Huiping Zhao, Mark S. Cohen, Gary Brandt and Joseph A. Burlison. Their work appears in journals such as Nature Communications, Molecular Cell and Biochemistry.

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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