Mariko Suchi

51 papers receiving 1.5k citations

Peers

Mariko Suchi
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 349
  • Physiology 67
  • Physiology 352
  • Molecular Biology 732
  • Immunology 223
Replace A Tobler with:
A Tobler Switzerland
Shohei Ogoshi Japan
Helen Yarwood United Kingdom
I. Tatarsky Israel
Sophie Collardeau‐Frachon France
Francesca Wanda Rossi Italy
Cristina Zennaro Italy
Thorsten Sadowski Germany
Silvia Giannini Italy
Eberhard Morgenstern Germany
Mariko Suchi relative to A Tobler Switzerland A Tobler's profile →
Citations per field
00.5×4.2×
A Tobler · 1×
Citations per year

Countries citing papers authored by Mariko Suchi

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Suchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009288
2 1991190
3 1989132
4 2007109
5 200982
6 200479
7 200357
8 199652
9 200550
10 199250
11
Molecular cloning of the human UMP synthase gene and characterization of point mutations in two hereditary orotic aciduria families.
199745
12 200438
13 201037
14 199532
15 201729
16 199227
17 200521
18 199320
19 201720
20 199619

About Mariko Suchi

Mariko Suchi is a scholar working on Molecular Biology, Surgery, Epidemiology, Physiology and Neurology, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (6 papers), Neuroblastoma Research and Treatments (6 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers), Lysosomal Storage Disorders Research (4 papers), Neonatal Health and Biochemistry (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (349 citations), Physiology (67 citations), Physiology (352 citations), Molecular Biology (732 citations) and Immunology (223 citations). Mariko Suchi has collaborated with scholars based in United States, Japan and Qatar. Frequent co-authors include Edward H. Schuchman, Robert J. Desnick, Konrad Sandhoff, Takayuki Takahashi, Charles A. Stanley, Arupa Ganguly, Eduardo D. Ruchelli, James Verbsky, Sreelatha T. Reddy and Rhonda Geoffrey. Their work appears in journals such as Journal of Pediatric Gastroenterology and Nutrition, Journal of Pediatric Hematology/Oncology, Pediatric and Developmental Pathology, Journal of Biological Chemistry and Advances in experimental medicine and 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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