Donna M. Stone

5.8k citations
40 papers · 4.8k indexed · 2 hit papers · h-index 28
Topics
Neurotransmitter Receptor Influence on Behavior (15 papers)Hedgehog Signaling Pathway Studies (7 papers)Developmental Biology and Gene Regulation (7 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

Donna M. Stone

40 papers receiving 4.7k citations

Hit Papers

The tumour-suppressor gene patched encodes a candidate re...199620262006201619961996250500750

Peers

Donna M. Stone
Comparison fields: 5 of 111
  • Molecular Biology 2.8k
  • Cellular and Molecular Neuroscience 1.9k
  • Developmental Neuroscience 713
  • Genetics 686
  • Toxicology 512
Replace Lin Luo with:
Lin Luo United States
Bettina Holtmann Germany
Shawn M. O’Connell United States
Fabienne Lamballe France
Jung-Hwa Tao-Cheng United States
Koki Moriyoshi Japan
Brian Bates United States
Barbara A. Barres United States
Graham G. Miao United States
Karl Schilling Germany
Donna M. Stone relative to Lin Luo United States Lin Luo's profile →
Citations per field
00.5×4.7×
Lin Luo · 1×
Citations per year

Countries citing papers authored by Donna M. Stone

Since Specialization
Citations

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

Fields of papers citing papers by Donna M. Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donna M. Stone

This figure shows the co-authorship network connecting the top 25 collaborators of Donna M. Stone. A scholar is included among the top collaborators of Donna M. Stone 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 M. Stone. Donna M. Stone 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 24
2 109
3 77
4 100
5 127
6 235
7 332
8 38
9 20
10
Characterization of a multicomponent receptor for GDNFbreakdown →
893
11 15
12 11
13 38
14 12
15 139
16 6
17 13
18 25
19 6
20 38

About Donna M. Stone

Donna M. Stone is a scholar working on Toxicology, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (15 papers), Hedgehog Signaling Pathway Studies (7 papers) and Developmental Biology and Gene Regulation (7 papers). The work is most often cited by research in Developmental Neuroscience (713 citations), Toxicology (512 citations) and Cellular and Molecular Neuroscience (1.9k citations). Donna M. Stone has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Arnon Rosenthal, Glen R. Hanson, James W. Gibb, Frédéric J. de Sauvage, Mark Armanini, Heidi Phillips, Audrey D. Goddard, Mary Hynes, Michel Johnson and Qimin Gu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

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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