Suzanne Cheng

4.6k citations
64 papers · 2.7k indexed · h-index 32

Suzanne Cheng

63 papers receiving 2.6k citations

Peers

Suzanne Cheng
Comparison fields: 5 of 131
  • Hematology 364
  • Endocrinology, Diabetes and Metabolism 395
  • Cardiology and Cardiovascular Medicine 527
  • Genetics 221
  • Internal Medicine 73
Replace Jacob Schneiderman with:
Jacob Schneiderman Israel
Mukesh K. Jain United States
Steve Jeffery United Kingdom
Lasse Folkersen Sweden
Arto Orpana Finland
Pekka Ellonen Finland
Debra K. Newman United States
Ethan J. Weiss United States
N. Saha Singapore
Sandrine Barbaux France
Suzanne Cheng relative to Jacob Schneiderman Israel Jacob Schneiderman's profile →
Citations per field
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Jacob Schneiderman · 1×
Citations per year

Countries citing papers authored by Suzanne Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201291
2 201232
3 201012
4 201019
5 201020
6 200914
7
Abstract 3135: Association of 77 Polymorphisms in 52 Candidate Genes with Blood Pressure Progression and Incident Hypertension: The Women's Genome Health Study
20081
8 200833
9 200636
10 200614
11 200665
12 200522
13 200421
14
Polymorphisms of PON1 and PON2 genes in patients with coronary artery disease (Zagreb cohort)
20031
15 200326
16 1999189
17 199629
18 1994158
19 199325
20 199156

About Suzanne Cheng

Suzanne Cheng is a scholar working on Hematology, Internal Medicine, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 64 papers that have together received 2.7k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (9 papers), Genetic Associations and Epidemiology (9 papers), Lipoproteins and Cardiovascular Health (7 papers), Renin-Angiotensin System Studies (6 papers), Hormonal Regulation and Hypertension (5 papers), Folate and B Vitamins Research (5 papers), Nutrition, Genetics, and Disease (4 papers) and Blood Pressure and Hypertension Studies (4 papers). The work is most often cited by research in Hematology (364 citations), Endocrinology, Diabetes and Metabolism (395 citations), Cardiology and Cardiovascular Medicine (527 citations), Genetics (221 citations) and Internal Medicine (73 citations). Suzanne Cheng has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Robert Y.L. Zee, Paul M. Ridker, Michael Grow, William Klitz, Lori Steiner, Sheng-Yung Chang, Patti E. Gravitt, Richard Respess, Klaus Lindpaintner and David M. Iovannisci. Their work appears in journals such as Stroke, Clinical Chemistry and Laboratory Medicine (CCLM), European Journal of Human Genetics, Clinical Chemistry and Diabetes.

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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