Mia Horowitz

6.3k citations
106 papers · 4.6k · h-index 40

Impact in

  • Cell Biology top 0.2%
    • Cellular transport and secretion
  • Physiology top 0.5%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism

Papers in

    • Cellular transport and secretion 63
    • Lysosomal Storage Disorders Research 62
    • Calcium signaling and nucleotide metabolism 5

Mia Horowitz

106 papers receiving 4.5k citations

Peers

Mia Horowitz
Comparison fields: 5 of 109
  • Cell Biology 2.4k
  • Physiology 2.8k
  • Physiology 285
  • Molecular Biology 2.3k
  • Organic Chemistry 933
Replace Nancy Dahms with:
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Keiko Furukawa Japan
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Mia Horowitz relative to Nancy Dahms United States Nancy Dahms's profile →
Citations per field
00.5×
Nancy Dahms · 1×
Citations per year

Countries citing papers authored by Mia Horowitz

Since Specialization
Citations

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

Fields of papers citing papers by Mia Horowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989337
2 2005254
3 1995147
4 1977142
5 2005131
6 1990125
7 1994118
8 2012116
9 1997108
10 2001105
11 2007104
12 1990101
13 199398
14 201392
15 201092
16 200486
17
Prevalence of nine mutations among Jewish and non-Jewish Gaucher disease patients.
199383
18 201081
19 199976
20 199473

About Mia Horowitz

Mia Horowitz is a scholar working on Cell Biology, Physiology, Molecular Biology, Organic Chemistry and Epidemiology, having authored 106 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (63 papers), Lysosomal Storage Disorders Research (62 papers), Glycosylation and Glycoproteins Research (29 papers), Carbohydrate Chemistry and Synthesis (18 papers), Studies on Chitinases and Chitosanases (6 papers), Trypanosoma species research and implications (6 papers), Calcium signaling and nucleotide metabolism (5 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Cell Biology (2.4k citations), Physiology (2.8k citations), Physiology (285 citations), Molecular Biology (2.3k citations) and Organic Chemistry (933 citations). Mia Horowitz has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Idit Ron, Sylvia Wilder, Orly Reiner, Ari Zimran, Debora Rapaport, Gregory A. Grabowski, Mirella Filocamo, Gali Maor, Ari Zimran and Yosef Aloni. Their work appears in journals such as Molecular Genetics and Metabolism, Human Molecular Genetics, Biochemical Journal, Blood Cells Molecules and Diseases and Gene.

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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