MJ During

876 citations
8 papers · 726 indexed · h-index 7

MJ During

8 papers receiving 711 citations

Peers

MJ During
Comparison fields: 5 of 67
  • Biological Psychiatry 196
  • Behavioral Neuroscience 113
  • Cellular and Molecular Neuroscience 286
  • Neurology 66
  • Developmental Neuroscience 29
Replace Carlotta E. Duncan with:
Carlotta E. Duncan Australia
Deepak R. Thakker United States
Yael Piontkewitz Israel
Mary Beth Wilkie United States
Derya Sargin Canada
Ronald R. Seese United States
Yusuf S. Khan Saudi Arabia
Daniela Bonini Italy
Farr Niere United States
Julie Jézéquel France
MJ During relative to Carlotta E. Duncan Australia Carlotta E. Duncan's profile →
Citations per field
00.5×1.7×
Carlotta E. Duncan · 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-authorship network

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 201465
2 200153
3 1998128
4
Adeno-associated virus vectors for gene therapy of neurodegenerative disorders.
199721
5 1995164
6
Controlled-release dopamine polymers as a novel approach to the treatment of Parkinson's disease.
19902
7 1990223
8 198970

About MJ During

MJ During is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience, Genetics, Biomaterials and Psychiatry and Mental health, having authored 8 papers that have together received 726 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), Glycosylation and Glycoproteins Research (1 paper), CRISPR and Genetic Engineering (1 paper), Neuroendocrine regulation and behavior (1 paper), Tryptophan and brain disorders (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Biological Psychiatry (196 citations), Behavioral Neuroscience (113 citations), Cellular and Molecular Neuroscience (286 citations), Neurology (66 citations) and Developmental Neuroscience (29 citations). MJ During has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Andrew Freese, M. F. Beal, Arumugham Raghunathan, Lisa M. Boulanger, Petra Wahle, Janice R. Naegele, Roth Rh, Helen L. Fitzsimons, Pasqualina Leone and Paola Leone. 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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