H Mar

1.1k citations
11 papers · 898 indexed · h-index 8

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Proteoglycans and glycosaminoglycans research

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Amyloidosis: Diagnosis, Treatment, Outcomes 2
    • Proteoglycans and glycosaminoglycans research 4

H Mar

11 papers receiving 874 citations

Peers

H Mar
Comparison fields: 5 of 86
  • Physiology 526
  • Cell Biology 319
  • Neurology 102
  • Immunology and Allergy 58
  • Molecular Biology 555
Replace Raymond Sekiguchi with:
Raymond Sekiguchi United States
Yasuo Tokushima Japan
Jeffrey S. Farrow United States
J. Miller United States
Setsuko Noda Japan
Luc Mercken France
Andrés Norambuena United States
Anna Potempska United States
Sebastian Hogl Germany
Elaine Waldron Germany
H Mar relative to Raymond Sekiguchi United States Raymond Sekiguchi's profile →
Citations per field
00.5×2.7×
Raymond Sekiguchi · 1×
Citations per year

Countries citing papers authored by H Mar

Since Specialization
Citations

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

Fields of papers citing papers by H Mar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside H Mar, 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 H Mar Line = papers co-authored together H Mar links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
The presence of heparan sulfate proteoglycans in the neuritic plaques and congophilic angiopathy in Alzheimer's disease.
1988362
2 1990214
3 1992121
4 199176
5 198846
6 198843
7 198025
8 19827
9 19882
10 19881
11 19871

About H Mar

H Mar is a scholar working on Molecular Biology, Cell Biology, Physiology, Neurology and Physiology, having authored 11 papers that have together received 898 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (4 papers), Alzheimer's disease research and treatments (3 papers), Glycosylation and Glycoproteins Research (3 papers), Cell Adhesion Molecules Research (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Connective tissue disorders research (1 paper), Glaucoma and retinal disorders (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Physiology (526 citations), Cell Biology (319 citations), Neurology (102 citations), Immunology and Allergy (58 citations) and Molecular Biology (555 citations). H Mar has collaborated with scholars based in United States. Frequent co-authors include Thomas N. Wight, Alan D. Snow, David Nochlin, Koji Kimata, Masato Kato, S Suzuki, John M. Hassell, Y Koike, Raymond Sekiguchi and Hans Kresse. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Alzheimer Disease & Associated Disorders, Developmental Biology, Neurobiology of Aging 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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