Ran Friedman

3.6k total citations
107 papers, 2.2k citations indexed

About

Ran Friedman is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Ran Friedman has authored 107 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 22 papers in Hematology and 19 papers in Genetics. Recurrent topics in Ran Friedman's work include Protein Structure and Dynamics (30 papers), Chronic Lymphocytic Leukemia Research (15 papers) and Chronic Myeloid Leukemia Treatments (15 papers). Ran Friedman is often cited by papers focused on Protein Structure and Dynamics (30 papers), Chronic Lymphocytic Leukemia Research (15 papers) and Chronic Myeloid Leukemia Treatments (15 papers). Ran Friedman collaborates with scholars based in Sweden, Israel and Switzerland. Ran Friedman's co-authors include Amedeo Caflisch, Esther Nachliel, Menachem Gutman, Riccardo Pellarin, Antoine Buetti‐Dinh, Michele Seeber, Stefanie Muff, Angelo Felline, Francesco Raimondi and Francesca Fanelli and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Ran Friedman

102 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ran Friedman Sweden	28	1.4k	295	257	241	231	107	2.2k
Thomas J. D. Jørgensen Denmark	42	3.3k 2.4×	235 0.8×	248 1.0×	456 1.9×	102 0.4×	110	6.6k
B.A. Katz United States	27	1.3k 0.9×	421 1.4×	73 0.3×	334 1.4×	277 1.2×	49	2.5k
J. Günter Grossmann United Kingdom	35	2.4k 1.8×	144 0.5×	120 0.5×	705 2.9×	79 0.3×	61	3.4k
J. Breed United Kingdom	34	2.4k 1.7×	88 0.3×	199 0.8×	223 0.9×	74 0.3×	51	3.4k
G. Snell United States	23	1.0k 0.8×	168 0.6×	720 2.8×	407 1.7×	70 0.3×	56	2.8k
Barry A. Springer United States	23	3.2k 2.4×	84 0.3×	267 1.0×	422 1.8×	151 0.7×	29	4.5k
Yunyu Shi China	36	3.3k 2.4×	98 0.3×	206 0.8×	401 1.7×	43 0.2×	191	4.0k
Kazushige Yokoyama Japan	27	1.5k 1.1×	184 0.6×	508 2.0×	269 1.1×	44 0.2×	98	2.7k
Pavel Strop United States	33	2.5k 1.8×	158 0.5×	115 0.4×	348 1.4×	53 0.2×	75	4.2k
Olli T. Pentikäinen Finland	32	1.5k 1.1×	113 0.4×	61 0.2×	148 0.6×	53 0.2×	100	3.1k

Countries citing papers authored by Ran Friedman

Since Specialization

Citations

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

Fields of papers citing papers by Ran Friedman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Friedman

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

Friedman, Ran. (2025). Resistance mutations, drug binding and drug residence times. Current Opinion in Structural Biology. 95. 103158–103158.

Wijn, Astrid S. de, et al.. (2025). A computational dynamic model of combination treatment for type II inhibitors with asciminib. Protein Science. 34(8). e70219–e70219. 1 indexed citations

Lindahl, Erik & Ran Friedman. (2024). Exploring the Impact of Protein Chain Selection in Binding Energy Calculations with DFT. ChemPhysChem. 25(24). e202400119–e202400119. 3 indexed citations

Wijn, Astrid S. de, et al.. (2024). Beyond IC50—A computational dynamic model of drug resistance in enzyme inhibition treatment. PLoS Computational Biology. 20(11). e1012570–e1012570. 3 indexed citations

Lindahl, Erik, et al.. (2024). Trans vs. cis: a computational study of enasidenib resistance due to IDH2 mutations. Physical Chemistry Chemical Physics. 26(27). 18989–18996. 2 indexed citations

Friedman, Ran, et al.. (2023). Synergy and antagonism between azacitidine and FLT3 inhibitors. Computers in Biology and Medicine. 169. 107889–107889. 4 indexed citations

Wijn, Astrid S. de, et al.. (2023). Interplay of mutations, alternate mechanisms, and treatment breaks in leukaemia: Understanding and implications studied with stochastic models. Computers in Biology and Medicine. 169. 107826–107826. 1 indexed citations

Månsson, Alf, et al.. (2023). New paradigms in actomyosin energy transduction: Critical evaluation of non‐traditional models for orthophosphate release. BioEssays. 45(9). e2300040–e2300040. 12 indexed citations

Bjelic, Sinisa, et al.. (2020). Deciphering the molecular mechanism of FLT3 resistance mutations. FEBS Journal. 287(15). 3200–3220. 17 indexed citations

10.

García-Bonete, María-José, Helena Rodilla, Ran Friedman, et al.. (2019). Clustering of atomic displacement parameters in bovine trypsin reveals a distributed lattice of atoms with shared chemical properties. Scientific Reports. 9(1). 6 indexed citations

11.

Friedman, Ran, et al.. (2019). Activation and Inactivation of the FLT3 Kinase: Pathway Intermediates and the Free Energy of Transition. The Journal of Physical Chemistry B. 123(26). 5385–5394. 13 indexed citations

12.

Bjelic, Sinisa, et al.. (2019). The catalytic activity of Abl1 single and compound mutations: Implications for the mechanism of drug resistance mutations in chronic myeloid leukaemia. Biochimica et Biophysica Acta (BBA) - General Subjects. 1863(4). 732–741. 23 indexed citations

13.

Friedman, Ran, et al.. (2019). Conformational modifications induced by internal tandem duplications on the FLT3 kinase and juxtamembrane domains. Physical Chemistry Chemical Physics. 21(34). 18467–18476. 11 indexed citations

14.

Karlsson, Björn C. G. & Ran Friedman. (2017). Dilution of whisky – the molecular perspective. Scientific Reports. 7(1). 6489–6489. 39 indexed citations

15.

Dopson, Mark, et al.. (2016). Biological Membranes in Extreme Conditions: Simulations of Anionic Archaeal Tetraether Lipid Membranes. PLoS ONE. 11(5). e0155287–e0155287. 17 indexed citations

16.

Buetti‐Dinh, Antoine, Igor V. Pivkin, & Ran Friedman. (2015). S100A4 and its role in metastasis – simulations of knockout and amplification of epithelial growth factor receptor and matrix metalloproteinases. Molecular BioSystems. 11(8). 2247–2254. 19 indexed citations

17.

Buetti‐Dinh, Antoine, Igor V. Pivkin, & Ran Friedman. (2015). S100A4 and its role in metastasis – computational integration of data on biological networks. Molecular BioSystems. 11(8). 2238–2246. 14 indexed citations

18.

Zigler, Maya, Gabriel J. Villares, Andrey S. Dobroff, et al.. (2011). Expression of Id-1 Is Regulated by MCAM/MUC18: A Missing Link in Melanoma Progression. Cancer Research. 71(10). 3494–3504. 36 indexed citations

19.

Friedman, Ran, et al.. (2006). A Molecular Dynamics Study of the Effect of Ca2+ Removal on Calmodulin Structure. Biophysical Journal. 90(11). 3842–3850. 37 indexed citations

20.

Friedman, Ran, Esther Nachliel, & Menachem Gutman. (2005). Protein Surface Dynamics: Interaction with Water and Small Solutes. Journal of Biological Physics. 31(3-4). 433–452. 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.

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