Mohammad Fallahi‐Sichani

8.2k total citations · 1 hit paper
29 papers, 1.8k citations indexed

About

Mohammad Fallahi‐Sichani is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics. According to data from OpenAlex, Mohammad Fallahi‐Sichani has authored 29 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 6 papers in Biophysics. Recurrent topics in Mohammad Fallahi‐Sichani's work include Melanoma and MAPK Pathways (7 papers), Computational Drug Discovery Methods (6 papers) and Single-cell and spatial transcriptomics (5 papers). Mohammad Fallahi‐Sichani is often cited by papers focused on Melanoma and MAPK Pathways (7 papers), Computational Drug Discovery Methods (6 papers) and Single-cell and spatial transcriptomics (5 papers). Mohammad Fallahi‐Sichani collaborates with scholars based in United States, Iran and Netherlands. Mohammad Fallahi‐Sichani's co-authors include Peter K. Sorger, Jia‐Ren Lin, Jennifer J. Linderman, Denise E. Kirschner, Laura M. Heiser, Joe W. Gray, Simeone Marino, Howard T. Petrie, Mohammed El-Kebir and Ruth Schwartz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Mohammad Fallahi‐Sichani

28 papers receiving 1.8k 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.

Highly multiplexed imaging of single cells using a high-throughput cyclic immunofluorescence method

2015 379 citations Jia‐Ren Lin, Mohammad Fallahi‐Sichani 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
Mohammad Fallahi‐Sichani United States	19	1.1k	339	338	242	216	29	1.8k
Marc Salzberg Switzerland	17	772 0.7×	218 0.6×	584 1.7×	87 0.4×	180 0.8×	39	2.1k
Brenda K. Eustace United States	13	960 0.9×	255 0.8×	400 1.2×	66 0.3×	83 0.4×	17	1.6k
Bhavneet Bhinder United States	20	891 0.8×	199 0.6×	333 1.0×	54 0.2×	87 0.4×	51	1.7k
Clarence Yapp United States	25	1.6k 1.5×	287 0.8×	392 1.2×	404 1.7×	37 0.2×	42	2.4k
Angelica Trejo United States	10	1.7k 1.6×	806 2.4×	420 1.2×	351 1.5×	69 0.3×	12	2.6k
Marı́a C. Montoya Spain	30	1.4k 1.3×	1.4k 4.0×	652 1.9×	120 0.5×	52 0.2×	50	3.6k
Pier Federico Gherardini Italy	22	1.3k 1.2×	927 2.7×	804 2.4×	152 0.6×	34 0.2×	48	2.4k
F. Hernán Espinoza United States	11	1.8k 1.6×	136 0.4×	458 1.4×	82 0.3×	50 0.2×	14	2.3k
Bojana Gligorijevic United States	20	617 0.6×	175 0.5×	557 1.6×	265 1.1×	42 0.2×	40	1.7k
Wilhelm G. Dirks Germany	28	1.8k 1.7×	463 1.4×	796 2.4×	114 0.5×	54 0.3×	76	3.1k

Countries citing papers authored by Mohammad Fallahi‐Sichani

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Fallahi‐Sichani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Fallahi‐Sichani. 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 Mohammad Fallahi‐Sichani. The network helps show where Mohammad Fallahi‐Sichani may publish in the future.

Co-authorship network of co-authors of Mohammad Fallahi‐Sichani

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

All Works

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20 of 20 papers shown

Hsu, Jeffrey J., et al.. (2024). Protocol for iterative indirect immunofluorescence imaging in cultured cells, tissue sections, and metaphase chromosome spreads. STAR Protocols. 5(3). 103190–103190. 2 indexed citations

Jiang, Ying, et al.. (2024). Multivariate analysis of metabolic state vulnerabilities across diverse cancer contexts reveals synthetically lethal associations. Cell Reports. 43(10). 114775–114775. 3 indexed citations

Moheb, Mohamad El, Susan Kim, Chunyan Cao, et al.. (2024). Characterization of driver oncogenic mutations of in-transit melanoma metastases.. Journal of Clinical Oncology. 42(16_suppl). 9586–9586. 1 indexed citations

Whitehead, Christopher E., et al.. (2022). Loss of NF1 in Melanoma Confers Sensitivity to SYK Kinase Inhibition. Cancer Research. 83(2). 316–331. 6 indexed citations

Fallahi‐Sichani, Mohammad, et al.. (2022). AP-1 transcription factor network explains diverse patterns of cellular plasticity in melanoma cells. Cell Reports. 40(5). 111147–111147. 26 indexed citations

Shcherbina, Anna, Jacqueline Larouche, Paula Fraczek, et al.. (2020). Dissecting Murine Muscle Stem Cell Aging through Regeneration Using Integrative Genomic Analysis. Cell Reports. 32(4). 107964–107964. 48 indexed citations

Manikkam, Mohan, et al.. (2020). Phenotype-based probabilistic analysis of heterogeneous responses to cancer drugs and their combination efficacy. PLoS Computational Biology. 16(2). e1007688–e1007688. 11 indexed citations

Lamoureux, Phillip, Adrian Reich, Mohammad Fallahi‐Sichani, et al.. (2019). Synapse Formation Activates a Transcriptional Program for Persistent Enhancement in the Bi-directional Transport of Mitochondria. Cell Reports. 26(3). 507–517.e3. 19 indexed citations

Fallahi‐Sichani, Mohammad, Verena Becker, Benjamin Izar, et al.. (2017). Adaptive resistance of melanoma cells to RAF inhibition via reversible induction of a slowly dividing de‐differentiated state. Molecular Systems Biology. 13(1). 905–905. 158 indexed citations

10.

Fallahi‐Sichani, Mohammad, Nathan J. Moerke, Mario Niepel, et al.. (2015). Systematic analysis of BRAF ^V ^600E melanomas reveals a role for JNK /c‐Jun pathway in adaptive resistance to drug‐induced apoptosis. Molecular Systems Biology. 11(3). 797–797. 68 indexed citations

11.

Lin, Jia‐Ren, Mohammad Fallahi‐Sichani, & Peter K. Sorger. (2015). Highly multiplexed imaging of single cells using a high-throughput cyclic immunofluorescence method. Nature Communications. 6(1). 8390–8390. 379 indexed citations breakdown →

12.

Kirschner, Denise E., C. Anthony Hunt, Simeone Marino, Mohammad Fallahi‐Sichani, & Jennifer J. Linderman. (2014). Tuneable resolution as a systems biology approach for multi‐scale, multi‐compartment computational models. WIREs Systems Biology and Medicine. 6(4). 289–309. 43 indexed citations

13.

Fallahi‐Sichani, Mohammad, et al.. (2013). Metrics other than potency reveal systematic variation in responses to cancer drugs. Nature Chemical Biology. 9(11). 708–714. 211 indexed citations

14.

Fallahi‐Sichani, Mohammad, Denise E. Kirschner, & Jennifer J. Linderman. (2012). NF-κB Signaling Dynamics Play a Key Role in Infection Control in Tuberculosis. Frontiers in Physiology. 3. 170–170. 86 indexed citations

15.

Fallahi‐Sichani, Mohammad, JoAnne L. Flynn, Jennifer J. Linderman, & Denise E. Kirschner. (2012). Differential Risk of Tuberculosis Reactivation among Anti-TNF Therapies Is Due to Drug Binding Kinetics and Permeability. The Journal of Immunology. 188(7). 3169–3178. 75 indexed citations

16.

Fallahi‐Sichani, Mohammad, Mohammed El-Kebir, Simeone Marino, Denise E. Kirschner, & Jennifer J. Linderman. (2011). Multiscale Computational Modeling Reveals a Critical Role for TNF-α Receptor 1 Dynamics in Tuberculosis Granuloma Formation. The Journal of Immunology. 186(6). 3472–3483. 130 indexed citations

17.

Fallahi‐Sichani, Mohammad, Matthew Schaller, Denise E. Kirschner, Steven L. Kunkel, & Jennifer J. Linderman. (2010). Identification of Key Processes that Control Tumor Necrosis Factor Availability in a Tuberculosis Granuloma. PLoS Computational Biology. 6(5). e1000778–e1000778. 45 indexed citations

18.

Fallahi‐Sichani, Mohammad & Jennifer J. Linderman. (2009). Lipid Raft-Mediated Regulation of G-Protein Coupled Receptor Signaling by Ligands which Influence Receptor Dimerization: A Computational Study. PLoS ONE. 4(8). e6604–e6604. 71 indexed citations

19.

Fallahi‐Sichani, Mohammad, et al.. (2006). In vitro differentiation of cord blood unrestricted somatic stem cells expressing dopamine‐associated genes into neuron‐like cells. Cell Biology International. 31(3). 299–303. 46 indexed citations

20.

Tabrizifard, Sahba, Alexandru Olaru, Jason Plotkin, et al.. (2004). Analysis of Transcription Factor Expression during Discrete Stages of Postnatal Thymocyte Differentiation. The Journal of Immunology. 173(2). 1094–1102. 49 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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