Arda Halu

7.3k citations
32 papers · 1.3k · h-index 16

Impact in

Papers in

Arda Halu

31 papers receiving 1.3k citations

Peers

Arda Halu
Comparison fields: 5 of 152
  • Statistical and Nonlinear Physics 317
  • Cardiology and Cardiovascular Medicine 164
  • Immunology 126
  • Molecular Biology 414
  • Physiology 27
Replace Chen Jia with:
Chen Jia China
Zhenping Li China
Michael D. Lieberman United States
Wilson Wen Bin Goh Singapore
Zhi‐Ping Liu China
Akiko Murakami Japan
Jie Liang China
Xianfeng Li China
José M. López Spain
Arda Halu relative to Chen Jia China Chen Jia's profile →
Citations per field
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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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016213
2 2018182
3 2013163
4 201996
5 202085
6 202082
7 201469
8 201363
9 201650
10 201840
11 202030
12 202127
13 201824
14 202121
15 202121
16 201316
17 201915
18 201112
19 201810
20 20229

About Arda Halu

Arda Halu is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Immunology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Complex Network Analysis Techniques (4 papers), Cardiac Valve Diseases and Treatments (3 papers), Vitamin D Research Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Gene expression and cancer classification (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (317 citations), Cardiology and Cardiovascular Medicine (164 citations), Immunology (126 citations), Molecular Biology (414 citations) and Physiology (27 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, Àlex Arenas and Manlio De Domenico. Their work appears in journals such as eLife, Circulation, Frontiers in Cardiovascular Medicine, Journal of Proteome Research 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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