Mary Kathryn Doud

1.8k citations
9 papers · 1.5k indexed · 1 hit paper · h-index 8
Topics
Peptidase Inhibition and Analysis (2 papers)Multiple Sclerosis Research Studies (2 papers)Peroxisome Proliferator-Activated Receptors (2 papers)
Partner nations
United States

In The Last Decade

Mary Kathryn Doud

9 papers receiving 1.5k citations

Hit Papers

Disrupted in Schizophrenia 1 Regulates Neuronal Progenito...20092026201420202009200400600

Peers

Mary Kathryn Doud
Comparison fields: 5 of 96
  • Molecular Biology 972
  • Cellular and Molecular Neuroscience 270
  • Developmental Neuroscience 270
  • Genetics 234
  • Pathology and Forensic Medicine 213
Replace Sebastian Schmitt with:
Sebastian Schmitt Germany
Davide Lecca Italy
Philip K. Liu United States
Zelda H. Cheung Hong Kong
Yiting Liu China
Elisa Motori Germany
Steve Callaghan Canada
Subhas C. Biswas India
Robert Spoelgen Germany
Ju Young Kim United States
Mary Kathryn Doud relative to Sebastian Schmitt Germany Sebastian Schmitt's profile →
Citations per field
00.5×3.6×
Sebastian Schmitt · 1×
Citations per year

Countries citing papers authored by Mary Kathryn Doud

Since Specialization
Citations

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

Fields of papers citing papers by Mary Kathryn Doud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Kathryn Doud. 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 Mary Kathryn Doud. The network helps show where Mary Kathryn Doud may publish in the future.

Co-authorship network of co-authors of Mary Kathryn Doud

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 4
2 39
3 84
4 90
5 137
6 252
7 237
8
Disrupted in Schizophrenia 1 Regulates Neuronal Progenitor Proliferation via Modulation of GSK3β/β-Catenin Signalingbreakdown →
635
9 10

About Mary Kathryn Doud

Mary Kathryn Doud is a scholar working on Developmental Neuroscience, Cancer Research and Neurology, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (2 papers), Multiple Sclerosis Research Studies (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Developmental Neuroscience (270 citations), Neurology (197 citations) and Cellular and Molecular Neuroscience (270 citations). Mary Kathryn Doud has collaborated with scholars based in United States. Frequent co-authors include Angela N. Koehler, Tracey L. Petryshen, Li-Huei Tsai, Randall T. Moon, Jon M. Madison, Takahiro Soda, Yingwei Mao, Carlos Tassa, Stephen J. Haggarty and Karun K. Singh. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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