Mary E. Huff

688 citations
8 papers · 578 indexed · h-index 8

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

Mary E. Huff

8 papers receiving 569 citations

Peers

Mary E. Huff
Comparison fields: 5 of 74
  • Neurology 132
  • Physiology 190
  • Neurology 52
  • Cell Biology 89
  • Molecular Biology 362
Replace Jin-Kyu Choi with:
Jin-Kyu Choi South Korea
Riccardo Porcari United Kingdom
Ioulia Kachirskaia United States
Kavita Vats India
Shiori Tamamizu‐Kato United States
Marie Grey Sweden
Damian M. S. Spencer Australia
Meixia Che China
Rachel L. Redler United States
Zainuddin Quadri United States
Mary E. Huff relative to Jin-Kyu Choi South Korea Jin-Kyu Choi's profile →
Citations per field
00.5×1.5×2.0×
Jin-Kyu Choi · 1×
Citations per year

Countries citing papers authored by Mary E. Huff

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Huff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2003172
2 2004167
3 199974
4 200358
5 200552
6 200326
7 200121
8 20048

About Mary E. Huff

Mary E. Huff is a scholar working on Biological Psychiatry, Cell Biology, Physiology, Neurology and Molecular Biology, having authored 8 papers that have together received 578 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Cellular transport and secretion (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Signaling Pathways in Disease (2 papers), Neurological diseases and metabolism (1 paper), Cancer-related gene regulation (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (132 citations), Physiology (190 citations), Neurology (52 citations), Cell Biology (89 citations) and Molecular Biology (362 citations). Mary E. Huff has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jeffery W. Kelly, William E. Balch, Evan T. Powers, Gayathri Ratnaswamy, Jan Bieschke, Lesley J. Page, Albert Eschenmoser, Richard A. Lerner, Jorge J. Nieva and Paul Wentworth. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology, Biochemistry, The EMBO Journal and Current Opinion in Structural Biology.

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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