Catherine Rehder

4.3k citations
75 papers · 1.9k · h-index 24

Impact in

  • Physiology top 5%
    • Lysosomal Storage Disorders Research
    • Telomeres, Telomerase, and Senescence
    • Glycogen Storage Diseases and Myoclonus

Papers in

Catherine Rehder

71 papers receiving 1.9k citations

Peers

Catherine Rehder
Comparison fields: 5 of 118
  • Physiology 694
  • Rheumatology 384
  • Genetics 601
  • Genetics 183
  • Hematology 146
Replace Kanya Suphapeetiporn with:
Kanya Suphapeetiporn Thailand
Carlos E. Prada United States
Carlos R. Ferreira United States
Kazuki Sawamoto Japan
Masahide Yazaki Japan
C Borrone Italy
Curtis Gumbs United States
Filippo Pinto e Vairo Brazil
Margarita Lianeri Poland
Sara Rollinson United Kingdom
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Citations per field
00.5×4.8×
Kanya Suphapeetiporn · 1×
Citations per year

Countries citing papers authored by Catherine Rehder

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Rehder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002207
2 2019121
3 2013114
4 201297
5 201387
6 202175
7 201063
8 201463
9 201562
10 201258
11 201549
12 201144
13 200443
14 201543
15 201341
16 201141
17 202041
18 200736
19 201035
20 202135

About Catherine Rehder

Catherine Rehder is a scholar working on Molecular Biology, Physiology, Genetics, Genetics and Rheumatology, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (16 papers), Glycogen Storage Diseases and Myoclonus (14 papers), Genomic variations and chromosomal abnormalities (12 papers), Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Genomics and Rare Diseases (10 papers), Biochemical and Molecular Research (9 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Physiology (694 citations), Rheumatology (384 citations), Genetics (601 citations), Genetics (183 citations) and Hematology (146 citations). Catherine Rehder has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Deeksha Bali, Priya S. Kishnani, Jennifer Goldstein, Hutton M. Kearney, Colleen Jackson‐Cook, Shawn E. Holt, David A. Gewirtz, Patricia A. McChesney, Lynne W. Elmore and Xu Di. Their work appears in journals such as Genetics in Medicine, Molecular Genetics and Metabolism, American Journal of Clinical Pathology, Human Pathology and The Journal of Pediatrics.

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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