MJ During

879 citations
8 papers · 770 · h-index 7

Impact in

Papers in

    • RNA Interference and Gene Delivery 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Glycosylation and Glycoproteins Research 1
    • Neuropeptides and Animal Physiology 2
    • Nerve injury and regeneration 1

MJ During

8 papers receiving 744 citations

Peers

MJ During
Comparison fields: 5 of 65
  • Biological Psychiatry 196
  • Behavioral Neuroscience 109
  • Cellular and Molecular Neuroscience 289
  • Neurology 66
  • Developmental Neuroscience 27
Replace Deepak R. Thakker with:
Deepak R. Thakker United States
Eugene Wyatt United States
Jonathon Sens United States
Mary Beth Wilkie United States
Xiaodan Wang China
László Havas Hungary
Derya Sargin Canada
Daniela Bonini Italy
Farr Niere United States
Atsuko Hayata‐Takano Japan
MJ During relative to Deepak R. Thakker United States Deepak R. Thakker's profile →
Citations per field
00.5×3.5×
Deepak R. Thakker · 1×
Citations per year

Countries citing papers authored by MJ During

Since Specialization
Citations

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

Fields of papers citing papers by MJ During

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by MJ During. 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 MJ During. The network helps show where MJ During may publish in the future.

Co-authors

The 25 scholars most cited alongside MJ During, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with MJ During Line = papers co-authored together MJ During links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1990231
2 1995171
3 1998143
4 198972
5 201469
6 200159
7
Adeno-associated virus vectors for gene therapy of neurodegenerative disorders.
199723
8
Controlled-release dopamine polymers as a novel approach to the treatment of Parkinson's disease.
19902

About MJ During

MJ During is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Pharmacology and Social Psychology, having authored 8 papers that have together received 770 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (2 papers), Neuropeptides and Animal Physiology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper), Galectins and Cancer Biology (1 paper), Nerve injury and regeneration (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Biological Psychiatry (196 citations), Behavioral Neuroscience (109 citations), Cellular and Molecular Neuroscience (289 citations), Neurology (66 citations) and Developmental Neuroscience (27 citations). MJ During has collaborated with scholars based in United States, New Zealand and Finland. Frequent co-authors include Andrew Freese, M. F. Beal, Roth Rh, Arumugham Raghunathan, Petra Wahle, Lisa M. Boulanger, Janice R. Naegele, Helen L. Fitzsimons, Pasqualina Leone and Xiangwei Xiao. Their work appears in journals such as Journal of Neuroscience, Gene Therapy, Journal of Bone and Mineral Research and PubMed.

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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