Dilare Adi

45 papers receiving 421 citations

Peers

Dilare Adi
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 69
  • Cancer Research 47
  • Endocrinology, Diabetes and Metabolism 47
  • Surgery 80
  • Biochemistry 14
Replace Chihiro Horimai with:
Chihiro Horimai Japan
Natalie K. Schiller United States
Sara Aleffi Italy
Mark Burgert United States
Ku-Geng Huo Canada
Zhu Hui Liu China
Matthieu Sarabi France
Shigeki Masuda Japan
Tiane Dai United States
Shamini G. Shekeran Singapore
Dilare Adi relative to Chihiro Horimai Japan Chihiro Horimai's profile →
Citations per field
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Chihiro Horimai · 1×
Citations per year

Countries citing papers authored by Dilare Adi

Since Specialization
Citations

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

Fields of papers citing papers by Dilare Adi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201737
2 201637
3 201436
4 201525
5 202117
6 201517
7 201917
8 201715
9 202114
10 202114
11 201714
12 201312
13
Relationships between genetic polymorphisms of E670G in PCSK9 gene and coronary artery disease: a meta-analysis.
201511
14 201711
15 201711
16 201610
17 201710
18
Polymorphisms of COL4A1 gene are associated with arterial pulse wave velocity in healthy Han Chinese and Uygur subjects.
20159
19 20158
20 20228

About Dilare Adi

Dilare Adi is a scholar working on Surgery, Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 429 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Cholesterol and Lipid Metabolism (3 papers), Complement system in diseases (3 papers), Aortic Disease and Treatment Approaches (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Blood Pressure and Hypertension Studies (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (69 citations), Cancer Research (47 citations), Endocrinology, Diabetes and Metabolism (47 citations), Surgery (80 citations) and Biochemistry (14 citations). Dilare Adi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yi‐Ning Yang, Bang‐Dang Chen, Xiang Xie, Zhen-Yan Fu, Xiao‐Mei Li, Fen Liu, Yi-Tong Ma, Fen Liu, Xiang Ma and Min‐Tao Gai. Their work appears in journals such as PLoS ONE, Oncotarget, Lipids in Health and Disease, Scientific Reports and Journal of the American College of Cardiology.

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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