Changiz Eslahchi

1.4k total citations
81 papers, 910 citations indexed

About

Changiz Eslahchi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Changiz Eslahchi has authored 81 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 7 papers in Cancer Research. Recurrent topics in Changiz Eslahchi's work include Bioinformatics and Genomic Networks (20 papers), Machine Learning in Bioinformatics (17 papers) and Protein Structure and Dynamics (17 papers). Changiz Eslahchi is often cited by papers focused on Bioinformatics and Genomic Networks (20 papers), Machine Learning in Bioinformatics (17 papers) and Protein Structure and Dynamics (17 papers). Changiz Eslahchi collaborates with scholars based in Iran, United States and Singapore. Changiz Eslahchi's co-authors include Mehdi Sadeghi, Hamid Pezeshk, Mojtaba Ganjali, Limsoon Wong, Hamidreza Pouretemad, Sayed‐Amir Marashi, Xiujun Zhang, Masoumeh Sadeghi, Reza Khosrowabadi and Seyed Shahriar Arab and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Changiz Eslahchi

76 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changiz Eslahchi Iran	16	586	369	111	102	48	81	910
Tianyi Zang China	14	610 1.0×	255 0.7×	66 0.6×	120 1.2×	34 0.7×	65	916
Xinyi Liu China	14	455 0.8×	248 0.7×	48 0.4×	129 1.3×	19 0.4×	58	945
Vijayalakshmi Chelliah United Kingdom	17	1.2k 2.0×	227 0.6×	135 1.2×	36 0.4×	19 0.4×	22	1.5k
Hiroto Saigo Japan	17	809 1.4×	338 0.9×	125 1.1×	298 2.9×	11 0.2×	32	1.3k
Fei Guo China	13	737 1.3×	252 0.7×	47 0.4×	95 0.9×	11 0.2×	38	972
Xiang Yue China	15	772 1.3×	514 1.4×	66 0.6×	332 3.3×	11 0.2×	40	1.2k
Junaid Baber Pakistan	18	425 0.7×	468 1.3×	103 0.9×	305 3.0×	13 0.3×	52	1.3k
Joel P. Arrais Portugal	16	485 0.8×	297 0.8×	125 1.1×	84 0.8×	7 0.1×	73	866
Ruiqing Zheng China	20	870 1.5×	228 0.6×	31 0.3×	102 1.0×	78 1.6×	58	1.2k

Countries citing papers authored by Changiz Eslahchi

Since Specialization

Citations

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

Fields of papers citing papers by Changiz Eslahchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changiz Eslahchi

This figure shows the co-authorship network connecting the top 25 collaborators of Changiz Eslahchi. A scholar is included among the top collaborators of Changiz Eslahchi 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 Changiz Eslahchi. Changiz Eslahchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Eslahchi, Changiz, et al.. (2024). PSO-FeatureFusion: a general framework for fusing heterogeneous features via particle swarm optimization. Bioinformatics Advances. 5(1). vbaf263–vbaf263.

Eslahchi, Changiz, et al.. (2023). DPSP: a multimodal deep learning framework for polypharmacy side effects prediction. Bioinformatics Advances. 3(1). vbad110–vbad110. 27 indexed citations

Eslahchi, Changiz, et al.. (2022). Exploring the role of non-coding RNAs as potential candidate biomarkers in the cross-talk between diabetes mellitus and Alzheimer’s disease. Frontiers in Aging Neuroscience. 14. 955461–955461. 14 indexed citations

Eslahchi, Changiz, et al.. (2022). Identification of repurposed drugs targeting significant long non-coding RNAs in the cross-talk between diabetes mellitus and Alzheimer’s disease. Scientific Reports. 12(1). 18332–18332. 6 indexed citations

Eslahchi, Changiz, et al.. (2021). DisCoVering potential candidates of RNAi-based therapy for COVID-19 using computational methods. PeerJ. 9. e10505–e10505. 8 indexed citations

Eslahchi, Changiz, et al.. (2021). A neural network-based method for polypharmacy side effects prediction. BMC Bioinformatics. 22(1). 385–385. 46 indexed citations

Eslahchi, Changiz, et al.. (2019). Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity. Scientific Reports. 9(1). 13645–13645. 116 indexed citations

Eslahchi, Changiz, et al.. (2019). CAMND: Comparative analysis of metabolic network decomposition based on previous and two new criteria, a web based application. Biosystems. 189. 104081–104081. 1 indexed citations

Wong, Limsoon, et al.. (2017). OrthoGNC: A Software for Accurate Identification of Orthologs Based on Gene Neighborhood Conservation. Genomics Proteomics & Bioinformatics. 15(6). 361–370. 7 indexed citations

10.

Eslahchi, Changiz, et al.. (2016). Proper Nearly Perfect Sets in Graphs.. Ars Combinatoria. 126. 143–156. 1 indexed citations

11.

Ayati, Marzieh, et al.. (2015). Two scenarios for overcoming drug resistance by co-targeting. International Journal of Bioinformatics Research and Applications. 11(1). 72–72. 3 indexed citations

12.

Ganjali, Mojtaba, et al.. (2014). CN: a consensus algorithm for inferring gene regulatory networks using the SORDER algorithm and conditional mutual information test. Molecular BioSystems. 11(3). 942–949. 34 indexed citations

13.

Eslahchi, Changiz, et al.. (2014). TripNet: A Method for Constructing Rooted Phylogenetic Networks from Rooted Triplets. PLoS ONE. 9(9). e106531–e106531. 8 indexed citations

14.

Eslahchi, Changiz, et al.. (2011). Hosoya Polynomial of an Infinite Family of Dendrimer Nanostar. 2(1). 71–79. 3 indexed citations

15.

Mirzaie, Mehdi, Changiz Eslahchi, Hamid Pezeshk, & Mehdi Sadeghi. (2009). A distance‐dependent atomic knowledge‐based potential and force for discrimination of native structures from decoys. Proteins Structure Function and Bioinformatics. 77(2). 454–463. 15 indexed citations

16.

Eslahchi, Changiz, et al.. (2007). HELIX SEGMENT ASSIGNMENT IN PROTEINS USING FUZZY LOGIC. Iranian Journal of Biotechnology. 5(2). 93–99. 2 indexed citations

17.

Eslahchi, Changiz & Arash Rafiey. (2006). C-Perfect K-Uniform Hypergraphs.. Ars Combinatoria. 79. 1 indexed citations

18.

Eslahchi, Changiz, et al.. (2000). Progress on the Hall-Number-Two problem.. Australas. J Comb.. 21. 211–236. 5 indexed citations

19.

Eslahchi, Changiz. (2000). Characterization of graphs with Hall index 2.. Australas. J Comb.. 21. 13–22. 1 indexed citations

20.

Eslahchi, Changiz, et al.. (1998). A counterexample for Hilton-Johnson's conjecture on list coloring of graphs.. Australas. J Comb.. 18. 127–132. 3 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