Sarah Nomura

953 citations
29 papers · 615 indexed · 1 hit paper · h-index 12

Sarah Nomura

26 papers receiving 603 citations

Hit Papers

Remnant cholesterol predicts cardiovascular disease beyon...251202120262022202450100150200250

Peers

Sarah Nomura
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 187
  • Cardiology and Cardiovascular Medicine 129
  • Public Health, Environmental and Occupational Health 151
  • Cancer Research 77
  • Surgery 217
Replace Mi Hae Seo with:
Mi Hae Seo South Korea
Jie Ning Yong Singapore
Heng Guo China
Rhonda Arthur United States
Xiang Xie China
P Schaffer France
Mehmet Uzunlulu Türkiye
Michael K. Palmer United Kingdom
Jan Stratmann Germany
Gaojun Cai China
Sarah Nomura relative to Mi Hae Seo South Korea Mi Hae Seo's profile →
Citations per field
00.5×1.5×2.5×
Mi Hae Seo · 1×
Citations per year

Countries citing papers authored by Sarah Nomura

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Nomura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20242
4 20240
5 20231
6 20227
7 202211
8
Remnant cholesterol predicts cardiovascular disease beyond LDL and ApoB: a primary prevention studybreakdown →
2021251
9 20211
10 20217
11 20214
12 202013
13 202025
14 202018
15 20208
16 201932
17 201728
18 201715
19 201710
20 201632

About Sarah Nomura

Sarah Nomura is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 615 indexed citations. Recurring topics across this work include Cancer Risks and Factors (9 papers), Lipoproteins and Cardiovascular Health (8 papers), Nutritional Studies and Diet (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Fatty Acid Research and Health (4 papers), Aortic Thrombus and Embolism (3 papers), Folate and B Vitamins Research (3 papers) and Cardiovascular Health and Risk Factors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (187 citations), Cardiology and Cardiovascular Medicine (129 citations) and Public Health, Environmental and Occupational Health (151 citations). Sarah Nomura has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Michael Y. Tsai, Kim Robien, Chiranjeev Dash, Lucile L. Adams‐Campbell, Erin D. Michos, Lynn Rosenberg, João A.C. Lima, Julie R. Palmer, Amy B. Karger and Christie M. Ballantyne. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Cancer Research.

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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