Ehsan Haghshenas
Impact in
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- Cancer Genomics and Diagnostics
Papers in
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- Genomics and Phylogenetic Studies 4
- Glycosylation and Glycoproteins Research 1
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- Anomaly Detection Techniques and Applications 2
- Intelligent Tutoring Systems and Adaptive Learning 1
- Co-authors
- Faraz Hach (5 shared papers)Cédric Chauve (3 shared papers)S. Cenk Şahinalp (2 shared papers)Jens Stoye (1 shared paper)Abdolreza Mirzaei (2 shared papers)Farid Rashidi Mehrabadi (1 shared paper)Simone Ciccolella (1 shared paper)Camir Ricketts (1 shared paper)
- Journals
- Bioinformatics (5 papers)Journal of Clinical Oncology (3 papers)iScience (2 papers)Annals of Oncology (1 paper)IEEE Transactions on Signal Processing (1 paper)
- Partner nations
- United StatesCanadaIran
In The Last Decade
Ehsan Haghshenas
14 papers receiving 200 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 53
- Horticulture 2
- Molecular Biology 113
- Signal Processing 13
- Artificial Intelligence 33
Countries citing papers authored by Ehsan Haghshenas
This map shows the geographic impact of Ehsan Haghshenas'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 Ehsan Haghshenas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Haghshenas more than expected).
Fields of papers citing papers by Ehsan Haghshenas
This network shows the impact of papers produced by Ehsan Haghshenas. 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 Ehsan Haghshenas. The network helps show where Ehsan Haghshenas may publish in the future.
Co-authors
The 25 scholars most cited alongside Ehsan Haghshenas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 48 | |
| 2 | 2020 | 37 | |
| 3 | 2016 | 36 | |
| 4 | 2015 | 18 | |
| 5 | 2018 | 15 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2010 | 10 | |
| 9 | 2017 | 6 | |
| 10 | 2013 | 4 | |
| 11 | 2017 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Ehsan Haghshenas
Ehsan Haghshenas is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Pulmonary and Respiratory Medicine and Signal Processing, having authored 16 papers that have together received 202 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Anomaly Detection Techniques and Applications (2 papers), Time Series Analysis and Forecasting (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Cancer Research (53 citations), Horticulture (2 citations), Molecular Biology (113 citations), Signal Processing (13 citations) and Artificial Intelligence (33 citations). Ehsan Haghshenas has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Faraz Hach, Cédric Chauve, S. Cenk Şahinalp, S. Cenk Şahinalp, Jens Stoye, Abdolreza Mirzaei, Farid Rashidi Mehrabadi, Simone Ciccolella, Camir Ricketts and Iman Hajirasouliha. Their work appears in journals such as Bioinformatics, Journal of Clinical Oncology, iScience, Annals of Oncology and IEEE Transactions on Signal Processing.
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.