Ehsan Haghshenas

420 total citations
14 papers, 199 citations indexed

About

Ehsan Haghshenas is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Ehsan Haghshenas has authored 14 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Artificial Intelligence and 4 papers in Plant Science. Recurrent topics in Ehsan Haghshenas's work include Genomics and Phylogenetic Studies (5 papers), Chromosomal and Genetic Variations (4 papers) and Algorithms and Data Compression (4 papers). Ehsan Haghshenas is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Chromosomal and Genetic Variations (4 papers) and Algorithms and Data Compression (4 papers). Ehsan Haghshenas collaborates with scholars based in Canada, United States and Iran. Ehsan Haghshenas's co-authors include Faraz Hach, Cédric Chauve, S. Cenk Şahinalp, S. Cenk Şahinalp, Abdolreza Mirzaei, Jens Stoye, Iman Hajirasouliha, Salem Malikić, Md. Khaledur Rahman and Simone Ciccolella and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Ehsan Haghshenas

14 papers receiving 197 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ehsan Haghshenas Canada 8 138 61 42 38 20 14 199
Petri Klemelä Finland 2 236 1.7× 61 1.0× 27 0.6× 27 0.7× 14 0.7× 3 344
Dan DeBlasio United States 8 237 1.7× 100 1.6× 61 1.5× 9 0.2× 9 0.5× 25 275
Enrico Siragusa United States 6 271 2.0× 52 0.9× 75 1.8× 31 0.8× 18 0.9× 11 402
Dimitrios Kleftogiannis Saudi Arabia 11 404 2.9× 162 2.7× 71 1.7× 30 0.8× 10 0.5× 28 560
Mohammadamin Edrisi United States 6 228 1.7× 108 1.8× 49 1.2× 16 0.4× 9 0.5× 9 350
Mikaël Salson France 11 235 1.7× 61 1.0× 84 2.0× 25 0.7× 23 1.1× 23 386
Chaohao Li China 11 248 1.8× 45 0.7× 26 0.6× 150 3.9× 5 0.3× 28 472
Victoria Popic United States 7 247 1.8× 171 2.8× 69 1.6× 33 0.9× 10 0.5× 13 375
Markus Hsi-Yang Fritz Germany 4 253 1.8× 50 0.8× 127 3.0× 44 1.2× 19 0.9× 5 365

Countries citing papers authored by Ehsan Haghshenas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ehsan Haghshenas

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Haghshenas. A scholar is included among the top collaborators of Ehsan Haghshenas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ehsan Haghshenas. Ehsan Haghshenas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Shen, John Paul, Johannes G. Reiter, Joshua Babiarz, et al.. (2025). Development of a methylation-based, tissue-agnostic test for the detection of molecular residual disease by circulating tumor DNA.. Journal of Clinical Oncology. 43(4_suppl). 266–266. 1 indexed citations
2.
Shen, John Paul, Johannes G. Reiter, Joshua Babiarz, et al.. (2025). Development of a methylation-based, tissue-free test for the detection of molecular residual disease by circulating tumor DNA.. Journal of Clinical Oncology. 43(16_suppl). 3048–3048. 1 indexed citations
3.
Haghshenas, Ehsan, et al.. (2023). Abstract 1400: Novel expression biomarkers via prediction of response to FOLFIRINOX (FFX) treatment for PDAC. Cancer Research. 83(7_Supplement). 1400–1400. 1 indexed citations
4.
Haghshenas, Ehsan, et al.. (2020). HASLR: Fast Hybrid Assembly of Long Reads. iScience. 23(8). 101389–101389. 37 indexed citations
5.
Ford, Michael, Ehsan Haghshenas, Corey T. Watson, & S. Cenk Şahinalp. (2020). Genotyping and Copy Number Analysis of Immunoglobin Heavy Chain Variable Genes Using Long Reads. iScience. 23(3). 100883–100883. 11 indexed citations
6.
Lin, Yen‐Yi, et al.. (2020). CircMiner: accurate and rapid detection of circular RNA through splice-aware pseudo-alignment scheme. Bioinformatics. 36(12). 3703–3711. 10 indexed citations
7.
Malikić, Salem, Farid Rashidi Mehrabadi, Simone Ciccolella, et al.. (2019). PhISCS: a combinatorial approach for subperfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data. Genome Research. 29(11). 1860–1877. 47 indexed citations
8.
Haghshenas, Ehsan, S. Cenk Şahinalp, & Faraz Hach. (2018). lordFAST: sensitive and Fast Alignment Search Tool for LOng noisy Read sequencing Data. Bioinformatics. 35(1). 20–27. 15 indexed citations
9.
Haghshenas, Ehsan, et al.. (2017). LRCstats, a tool for evaluating long reads correction methods. Bioinformatics. 33(22). 3652–3654. 6 indexed citations
10.
Haghshenas, Ehsan, et al.. (2017). SAGE2: parallel human genome assembly. Bioinformatics. 34(4). 678–680. 2 indexed citations
11.
Haghshenas, Ehsan, Faraz Hach, S. Cenk Şahinalp, & Cédric Chauve. (2016). CoLoRMap: Correcting Long Reads by Mapping short reads. Bioinformatics. 32(17). i545–i551. 36 indexed citations
12.
Mirzaei, Abdolreza, et al.. (2015). Creating Discriminative Models for Time Series Classification and Clustering by HMM Ensembles. IEEE Transactions on Cybernetics. 46(12). 2899–2910. 18 indexed citations
13.
Mirzaei, Abdolreza, et al.. (2013). Multiple Observations HMM Learning by Aggregating Ensemble Models. IEEE Transactions on Signal Processing. 61(22). 5767–5776. 4 indexed citations
14.
Haghshenas, Ehsan, et al.. (2010). Introducing a new intelligent adaptive learning content generation method. 65–71. 10 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Petri Klemelä Breakdown of academic impact, for papers by Dan DeBlasio Breakdown of academic impact, for papers by Enrico Siragusa Breakdown of academic impact, for papers by Dimitrios Kleftogiannis Breakdown of academic impact, for papers by Mohammadamin Edrisi Breakdown of academic impact, for papers by Mikaël Salson Breakdown of academic impact, for papers by Chaohao Li Breakdown of academic impact, for papers by Victoria Popic Breakdown of academic impact, for papers by Markus Hsi-Yang Fritz
Rankless by CCL
2026