Arda Halu

7.1k citations
29 papers · 1.2k · h-index 16

Impact in

Papers in

Arda Halu

27 papers receiving 1.2k citations

Peers

Arda Halu
Comparison fields: 5 of 150
  • Statistical and Nonlinear Physics 292
  • Cardiology and Cardiovascular Medicine 167
  • Immunology 145
  • Molecular Biology 427
  • Physiology 28
Replace Chen Jia with:
Chen Jia China
Wilson Wen Bin Goh Singapore
Zhengxin Wang China
Akiko Murakami Japan
Yufan Guo China
Claudia Coronnello Italy
Jie Liang China
Venkata Satagopam Luxembourg
Frank Krämer Germany
Arda Halu relative to Chen Jia China Chen Jia's profile →
Citations per field
00.5×7.6×
Chen Jia · 1×
Citations per year

Countries citing papers authored by Arda Halu

Since Specialization
Citations

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

Fields of papers citing papers by Arda Halu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016207
2 2018167
3 2013150
4 201985
5 202079
6 202074
7 201461
8 201354
9 201650
10 201836
11 202027
12 202126
13 201823
14 202121
15 202121
16 201316
17 201914
18 201111
19 201810
20 20228

About Arda Halu

Arda Halu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Statistical and Nonlinear Physics and Epidemiology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Complex Network Analysis Techniques (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Aortic Disease and Treatment Approaches (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Opinion Dynamics and Social Influence (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (292 citations), Cardiology and Cardiovascular Medicine (167 citations), Immunology (145 citations), Molecular Biology (427 citations) and Physiology (28 citations). Arda Halu has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Ginestra Bianconi, Amitabh Sharma, Masanori Aikawa, Raúl J. Mondragón, Pietro Panzarasa, Sasha A. Singh, Elena Aïkawa, Joseph Loscalzo, Manlio De Domenico and Àlex Arenas. Their work appears in journals such as Journal of Proteome Research, Nature Communications, Science Advances, Circulation and Arteriosclerosis Thrombosis and Vascular 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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