M. Priscilla Short

7.3k citations
55 papers · 4.2k indexed · h-index 34
Topics
Tuberous Sclerosis Complex Research (14 papers)Neurofibromatosis and Schwannoma Cases (10 papers)Virus-based gene therapy research (8 papers)

In The Last Decade

M. Priscilla Short

55 papers receiving 4.1k citations

Peers

M. Priscilla Short
Comparison fields: 5 of 121
  • Molecular Biology 1.5k
  • Genetics 1.2k
  • Physiology 1.1k
  • Neurology 877
  • Cellular and Molecular Neuroscience 591
Replace Virginia V. Michels with:
Virginia V. Michels United States
Per Henrik Lindblom Sweden
John R.W. Yates United Kingdom
Yoko Aoki Japan
Noriko Kimura Japan
Paige Kaplan United States
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Dicky Halley Netherlands
Hope Northrup United States
Sergiusz Jóźwiak Poland
M. Priscilla Short relative to Virginia V. Michels United States Virginia V. Michels's profile →
Citations per field
00.5×3.3×
Virginia V. Michels · 1×
Citations per year

Countries citing papers authored by M. Priscilla Short

Since Specialization
Citations

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

Fields of papers citing papers by M. Priscilla Short

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Priscilla Short

This figure shows the co-authorship network connecting the top 25 collaborators of M. Priscilla Short. A scholar is included among the top collaborators of M. Priscilla Short 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 M. Priscilla Short. M. Priscilla Short 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 1
2 98
3 96
4 4
5 22
6 122
7 67
8 40
9 73
10 210
11
Identification of VAV2 on 9q34 and its exclusion as the tuberous sclerosis gene TSC1
1
12 40
13 151
14 100
15 83
16 141
17
Selective killing of glioma cells in culture and in vivo by retrovirus transfer of the herpes simplex virus thymidine kinase gene.
170
18 16
19 2
20 24

About M. Priscilla Short

M. Priscilla Short is a scholar working on Developmental Neuroscience, Neurology and Physiology, having authored 55 papers that have together received 4.2k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (14 papers), Neurofibromatosis and Schwannoma Cases (10 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Developmental Neuroscience (292 citations), Neurology (877 citations) and Physiology (1.1k citations). M. Priscilla Short has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include X. O. Breakefield, Elizabeth P. Henske, David J. Kwiatkowski, D J Kwiatkowski, Xandra O. Breakefield, Ole Isacson, Mia MacCollin, David Kronn, James H. Tonsgard and Amy Malick. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Nature Genetics.

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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