Amir Bashan

4.4k total citations · 1 hit paper
38 papers, 2.5k citations indexed

About

Amir Bashan is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Amir Bashan has authored 38 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 15 papers in Molecular Biology and 7 papers in Computer Networks and Communications. Recurrent topics in Amir Bashan's work include Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (9 papers) and Gut microbiota and health (9 papers). Amir Bashan is often cited by papers focused on Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (9 papers) and Gut microbiota and health (9 papers). Amir Bashan collaborates with scholars based in Israel, United States and China. Amir Bashan's co-authors include Shlomo Havlin, Ronny P. Bartsch, Plamen Ch. Ivanov, Jan W. Kantelhardt, Yehiel Berezin, Sergey V. Buldyrev, Yang‐Yu Liu, Kang K. L. Liu, H. Eugene Stanley and Travis E. Gibson and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Amir Bashan

35 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Network physiology reveals relations between network topology and physiological function

2012 490 citations Amir Bashan, Ronny P. Bartsch et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amir Bashan Israel	19	1.0k	489	412	384	338	38	2.5k
David Papo Spain	24	848 0.8×	322 0.7×	1.0k 2.4×	405 1.1×	342 1.0×	72	2.3k
C. L. Webber United States	14	418 0.4×	217 0.4×	480 1.2×	227 0.6×	408 1.2×	25	2.1k
Daniel T. Kaplan United States	27	973 0.9×	344 0.7×	936 2.3×	467 1.2×	922 2.7×	75	3.7k
Huijie Yang China	21	959 0.9×	198 0.4×	291 0.7×	447 1.2×	687 2.0×	159	2.0k
Yinping Cao China	15	527 0.5×	279 0.6×	305 0.7×	168 0.4×	467 1.4×	66	1.5k
Juan Carlos Nuño Spain	15	500 0.5×	556 1.1×	238 0.6×	169 0.4×	583 1.7×	44	1.9k
Fernando Ballesteros Spain	11	540 0.5×	169 0.3×	268 0.7×	159 0.4×	622 1.8×	49	1.8k
Jukka-Pekka Onnela United States	10	1.0k 1.0×	286 0.6×	758 1.8×	231 0.6×	147 0.4×	13	2.4k
Thomas Richardson United Kingdom	22	841 0.8×	266 0.5×	375 0.9×	262 0.7×	53 0.2×	133	3.2k

Countries citing papers authored by Amir Bashan

Since Specialization

Citations

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

Fields of papers citing papers by Amir Bashan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Bashan

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Bashan. A scholar is included among the top collaborators of Amir Bashan 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 Amir Bashan. Amir Bashan 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

1.

Bashan, Amir, et al.. (2025). Cascading failures in networks of networks linked by directional and bidirectional hyperlinks. Physical review. E. 111(1). 14315–14315.

2.

Bashan, Amir, et al.. (2024). Interactions-based classification of a single microbial sample. Cell Reports Methods. 4(5). 100775–100775.

3.

Amit, Guy, et al.. (2023). Percolation in fractal spatial networks with long-range interactions. Physical Review Research. 5(2). 5 indexed citations

4.

Liu, Yimeng, et al.. (2023). Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus. PLoS Computational Biology. 19(6). e1011193–e1011193. 4 indexed citations

5.

Gao, Jianxi, et al.. (2022). Reviving a failed network through microscopic interventions. Nature Physics. 18(3). 338–349. 47 indexed citations

6.

Gao, Jianxi, Amir Bashan, Louis Shekhtman, & Shlomo Havlin. (2022). Introduction to Networks of Networks. 15 indexed citations

7.

Amit, Guy, et al.. (2022). Global coordination level in single-cell transcriptomic data. Scientific Reports. 12(1). 7547–7547. 3 indexed citations

8.

Amit, Guy, et al.. (2021). A top-down measure of gene-to-gene coordination for analyzing cell-to-cell variability. Scientific Reports. 11(1). 11075–11075. 2 indexed citations

9.

Levy, Orr, Guy Amit, Sol Efroni, et al.. (2020). Age-related loss of gene-to-gene transcriptional coordination among single cells. Nature Metabolism. 2(11). 1305–1315. 32 indexed citations

10.

Bashan, Amir, Travis E. Gibson, Jonathan Friedman, et al.. (2019). The universal dynamics of the human microbiome. Bulletin of the American Physical Society. 2019.

11.

Tian, Liang, Amir Bashan, Daning Shi, & Yang‐Yu Liu. (2017). Articulation points in complex networks. Nature Communications. 8(1). 14223–14223. 79 indexed citations

12.

Berezin, Yehiel, Amir Bashan, Michael M. Danziger, Daqing Li, & Shlomo Havlin. (2015). Localized attacks on spatially embedded networks with dependencies. Scientific Reports. 5(1). 8934–8934. 123 indexed citations

13.

Bartsch, Ronny P., Kang K. L. Liu, Amir Bashan, & Plamen Ch. Ivanov. (2015). Network Physiology: How Organ Systems Dynamically Interact. PLoS ONE. 10(11). e0142143–e0142143. 282 indexed citations

14.

Sharma, Amitabh, Amir Bashan, & Albert-Ĺaszló Barabási. (2014). Network Approach to Disease Diagnosis. Bulletin of the American Physical Society. 2014. 1 indexed citations

15.

Bashan, Amir, et al.. (2014). On the Dynamics of Cascading Failures in Interdependent Networks. 1. 166–169. 1 indexed citations

16.

Bartsch, Ronny P., Amir Bashan, Jan W. Kantelhardt, Shlomo Havlin, & Plamen Ch. Ivanov. (2012). Physiological Networks: towards systems physiology. Bulletin of the American Physical Society. 2012. 1 indexed citations

17.

Bashan, Amir, et al.. (2012). On the Dynamics of Cascading Failures in Interdependent Networks. arXiv (Cornell University). 4 indexed citations

18.

Bashan, Amir, et al.. (2012). Critical Cascading Failures in Interdependent Networks: Non Mean-Field Behavior. arXiv (Cornell University). 3 indexed citations

19.

Li, Wei, Amir Bashan, Sergey V. Buldyrev, H. Eugene Stanley, & Shlomo Havlin. (2012). Cascading Failures in Interdependent Lattice Networks: The Critical Role of the Length of Dependency Links. Physical Review Letters. 108(22). 228702–228702. 194 indexed citations

20.

Bashan, Amir, Roni Parshani, & Shlomo Havlin. (2011). Percolation in networks composed of connectivity and dependency links. Physical Review E. 83(5). 51127–51127. 100 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.

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