Rotem Ben‐Hamo

1.7k total citations
26 papers, 1.2k citations indexed

About

Rotem Ben‐Hamo is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rotem Ben‐Hamo has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rotem Ben‐Hamo's work include MicroRNA in disease regulation (6 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (5 papers). Rotem Ben‐Hamo is often cited by papers focused on MicroRNA in disease regulation (6 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (5 papers). Rotem Ben‐Hamo collaborates with scholars based in Israel, United States and Canada. Rotem Ben‐Hamo's co-authors include Sol Efroni, Jennifer I. C. Benichou, Yoram Louzoun, Evan Burns, Alona Zilberberg, Iván Mascanfroni, Sílvio M. Vieira, Helit Cohen, Simon C. Robson and Vijay K. Kuchroo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Rotem Ben‐Hamo

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rotem Ben‐Hamo Israel 18 665 396 245 203 77 26 1.2k
Susanna Kiwala United States 7 882 1.3× 301 0.8× 291 1.2× 241 1.2× 81 1.1× 13 1.5k
Niels H. H. Heegaard Denmark 23 780 1.2× 323 0.8× 445 1.8× 135 0.7× 63 0.8× 48 1.5k
Nicole Hartmann Switzerland 17 476 0.7× 359 0.9× 90 0.4× 104 0.5× 59 0.8× 29 996
Sabine Heublein Germany 22 543 0.8× 304 0.8× 186 0.8× 277 1.4× 119 1.5× 78 1.3k
Hui Shi China 20 496 0.7× 246 0.6× 200 0.8× 380 1.9× 67 0.9× 42 1.2k
Patrizia Piccioli Italy 20 457 0.7× 579 1.5× 191 0.8× 550 2.7× 87 1.1× 39 1.4k
Eiichi Hasegawa Japan 22 611 0.9× 601 1.5× 89 0.4× 225 1.1× 117 1.5× 57 1.7k
Tae-Hee Lee South Korea 16 645 1.0× 212 0.5× 135 0.6× 417 2.1× 50 0.6× 62 1.4k
Kelsy C. Cotto United States 7 860 1.3× 179 0.5× 292 1.2× 159 0.8× 90 1.2× 16 1.4k

Countries citing papers authored by Rotem Ben‐Hamo

Since Specialization
Citations

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

Fields of papers citing papers by Rotem Ben‐Hamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rotem Ben‐Hamo. 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 Rotem Ben‐Hamo. The network helps show where Rotem Ben‐Hamo may publish in the future.

Co-authorship network of co-authors of Rotem Ben‐Hamo

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

All Works

20 of 20 papers shown
1.
Nitzan, Erez, Miriam B. Ginzberg, Nish Patel, et al.. (2022). Visual barcodes for clonal-multiplexing of live microscopy-based assays. Nature Communications. 13(1). 2725–2725. 10 indexed citations
2.
Ben‐Hamo, Rotem, A. Berger, Nancy Gavert, et al.. (2020). Predicting and affecting response to cancer therapy based on pathway-level biomarkers. Nature Communications. 11(1). 3296–3296. 52 indexed citations
3.
Ben‐Hamo, Rotem, Alona Zilberberg, Helit Cohen, et al.. (2019). Resistance to paclitaxel is associated with a variant of the gene BCL2 in multiple tumor types. npj Precision Oncology. 3(1). 12–12. 27 indexed citations
4.
Morales, Cristina, Alva Biran, Harshil Patel, et al.. (2016). The linker histone H1.0 generates epigenetic and functional intratumor heterogeneity. Science. 353(6307). 132 indexed citations
5.
Ben‐Hamo, Rotem, Yariv Kanfi, Alexander Varvak, et al.. (2015). Reciprocal Regulation between SIRT6 and miR-122 Controls Liver Metabolism and Predicts Hepatocarcinoma Prognosis. Cell Reports. 14(2). 234–242. 71 indexed citations
6.
Cohen, Helit, et al.. (2014). Shift in GATA3 functions, and GATA3 mutations, control progression and clinical presentation in breast cancer. Breast Cancer Research. 16(6). 464–464. 44 indexed citations
7.
Assayag, Miri, et al.. (2014). Heat acclimation memory: do the kinetics of the deacclimated transcriptome predispose to rapid reacclimation and cytoprotection?. Journal of Applied Physiology. 117(11). 1262–1277. 19 indexed citations
8.
Cohen, Helit, et al.. (2014). SENP5 mediates breast cancer invasion via a TGFβRI SUMOylation cascade. Oncotarget. 5(4). 1071–1082. 34 indexed citations
9.
Bel, Shai, Hila Elifantz, Omry Koren, et al.. (2014). Reprogrammed and transmissible intestinal microbiota confer diminished susceptibility to induced colitis in TMF −/− mice. Proceedings of the National Academy of Sciences. 111(13). 4964–4969. 47 indexed citations
10.
Mascanfroni, Iván, Ada Yeste, Sílvio M. Vieira, et al.. (2013). IL-27 acts on DCs to suppress the T cell response and autoimmunity by inducing expression of the immunoregulatory molecule CD39. Nature Immunology. 14(10). 1054–1063. 269 indexed citations
11.
Ben‐Hamo, Rotem & Sol Efroni. (2013). MicroRNA-Gene Association As a Prognostic Biomarker in Cancer Exposes Disease Mechanisms. PLoS Computational Biology. 9(11). e1003351–e1003351. 15 indexed citations
12.
Ben‐Hamo, Rotem & Sol Efroni. (2013). hsa-miR-9 and drug control over the P38 network as driving disease outcome in GBM patients. 1(2). 76–83. 1 indexed citations
13.
Ben‐Hamo, Rotem & Sol Efroni. (2013). Network as biomarker. 1(1). 35–41. 6 indexed citations
14.
Ben‐Hamo, Rotem, et al.. (2012). RBM38 Is a Direct Transcriptional Target of E2F1 that Limits E2F1-Induced Proliferation. Molecular Cancer Research. 10(9). 1169–1177. 30 indexed citations
15.
16.
Broderick, Gordon, Rotem Ben‐Hamo, Sol Efroni, et al.. (2012). Altered immune pathway activity under exercise challenge in Gulf War Illness: An exploratory analysis. Brain Behavior and Immunity. 28. 159–169. 69 indexed citations
17.
Ben‐Hamo, Rotem & Sol Efroni. (2012). Biomarker robustness reveals the PDGF network as driving disease outcome in ovarian cancer patients in multiple studies. BMC Systems Biology. 6(1). 3–3. 23 indexed citations
18.
Efroni, Sol, Rotem Ben‐Hamo, Michael N. Edmonson, et al.. (2011). Detecting Cancer Gene Networks Characterized by Recurrent Genomic Alterations in a Population. PLoS ONE. 6(1). e14437–e14437. 22 indexed citations
19.
Ben‐Hamo, Rotem & Sol Efroni. (2011). The whole-organism heavy chain B cell repertoire from Zebrafish self-organizes into distinct network features. BMC Systems Biology. 5(1). 27–27. 22 indexed citations
20.
Benichou, Jennifer I. C., Rotem Ben‐Hamo, Yoram Louzoun, & Sol Efroni. (2011). Rep‐Seq: uncovering the immunological repertoire through next‐generation sequencing. Immunology. 135(3). 183–191. 173 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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