Sandra McNeil

2.5k citations
23 papers · 2.0k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Sandra McNeil

23 papers receiving 1.9k citations

Hit Papers

Inactivation of the Mouse Huntington's Disease Gene Homolog Hdh 1995 · 534 citations
5341995202620052015100200300400500

Peers

Sandra McNeil
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 1.4k
  • Neurology 535
  • Molecular Biology 1.7k
  • Hematology 104
  • Reproductive Medicine 56
Replace Guey‐Shin Wang with:
Guey‐Shin Wang Taiwan
Ulrike Orth Germany
Lauren M. Tanabe United States
Simone M. Smits Netherlands
Julia Rankin United Kingdom
Marie Mangelsdorf Australia
Mary Simmons United States
Nacer Abbas France
Delphine Héron France
F. Lachapelle France
Sandra McNeil relative to Guey‐Shin Wang Taiwan Guey‐Shin Wang's profile →
Citations per field
00.5×5.1×
Guey‐Shin Wang · 1×
Citations per year

Countries citing papers authored by Sandra McNeil

Since Specialization
Citations

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

Fields of papers citing papers by Sandra McNeil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sandra McNeil, 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 Sandra McNeil Line = papers co-authored together Sandra McNeil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200791
2 200274
3 200017
4 19996
5 199927
6 199839
7 19987
8 19981
9 199882
10 19982
11 1997117
12 199799
13 199670
14
199650
15 1995167
16 199582
17
Inactivation of the Mouse Huntington's Disease Gene Homolog Hdh
Hit paper breakdown →
1995534
18 199419
19 199452
20 1988185

About Sandra McNeil

Sandra McNeil is a scholar working on Cellular and Molecular Neuroscience, Hematology, Molecular Biology, Neurology and Animal Science and Zoology, having authored 23 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (8 papers), Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (6 papers), Nuclear Structure and Function (6 papers), Acute Myeloid Leukemia Research (5 papers), Retinoids in leukemia and cellular processes (4 papers) and Neurological disorders and treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Neurology (535 citations), Molecular Biology (1.7k citations), Hematology (104 citations) and Reproductive Medicine (56 citations). Sandra McNeil has collaborated with scholars based in United States, Italy and Venezuela. Frequent co-authors include Francesca Persichetti, Marcy E. MacDonald, James F. Gusella, Mabel P. Duyao, Glenn T. Barnes, Jean‐Paul Vonsattel, Pei Ge, André J. van Wijnen, Anna B. Auerbach and Angela Ryan. Their work appears in journals such as Journal of Cellular Biochemistry, Proceedings of the National Academy of Sciences, Journal of Neuroscience, Brain Research and Human Molecular 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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