Dan Michael

2.9k total citations · 2 hit papers
16 papers, 2.3k citations indexed

About

Dan Michael is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Dan Michael has authored 16 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Biotechnology. Recurrent topics in Dan Michael's work include Cancer-related Molecular Pathways (8 papers), Cancer Research and Treatments (5 papers) and RNA modifications and cancer (3 papers). Dan Michael is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Cancer Research and Treatments (5 papers) and RNA modifications and cancer (3 papers). Dan Michael collaborates with scholars based in Israel, United States and Australia. Dan Michael's co-authors include Moshe Oren, Eric R. Kandel, Kelsey C. Martin, Andrea Casadio, Huixiang Zhu, Mark Barad, Jack C. Rose, Doron Ginsberg, Rony Seger and Hiroshi Nojima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Dan Michael

15 papers receiving 2.3k 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.

The p53–Mdm2 module and the ubiquitin system

2002 618 citations Dan Michael, Moshe Oren Seminars in Cancer Biology profile →
MAP Kinase Translocates into the Nucleus of the Presynaptic Cell and Is Required for Long-Term Facilitation in Aplysia

1997 461 citations Kelsey C. Martin, Dan Michael et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Michael Israel	12	1.6k	1.1k	474	361	288	16	2.3k
Yetao Jin United States	17	1.5k 0.9×	731 0.7×	261 0.6×	207 0.6×	216 0.8×	17	1.9k
Marion Lohrum Germany	20	1.9k 1.2×	1.1k 1.0×	907 1.9×	396 1.1×	281 1.0×	22	2.7k
Judith E. Stenger United States	17	1.2k 0.7×	598 0.5×	249 0.5×	218 0.6×	92 0.3×	21	1.8k
Angela Cacace United States	21	1.5k 1.0×	479 0.4×	230 0.5×	192 0.5×	172 0.6×	35	2.1k
Sharon D. Morgenbesser United States	14	2.2k 1.4×	790 0.7×	290 0.6×	380 1.1×	269 0.9×	16	2.8k
Thorsten Stühmer Germany	27	1.9k 1.2×	527 0.5×	390 0.8×	244 0.7×	257 0.9×	62	2.7k
Craig Crowley United States	16	1.7k 1.1×	742 0.7×	980 2.1×	248 0.7×	424 1.5×	16	3.0k
Hsiao‐Huei Wu United States	16	930 0.6×	451 0.4×	245 0.5×	157 0.4×	123 0.4×	23	1.5k
Renée M. McKay United States	25	2.5k 1.6×	1.2k 1.1×	292 0.6×	399 1.1×	969 3.4×	47	4.4k
Gianluca Civenni Switzerland	26	1.7k 1.1×	807 0.7×	369 0.8×	201 0.6×	473 1.6×	57	2.7k

Countries citing papers authored by Dan Michael

Since Specialization

Citations

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

Fields of papers citing papers by Dan Michael

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Michael

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Michael. A scholar is included among the top collaborators of Dan Michael 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 Dan Michael. Dan Michael 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:

16 of 16 papers shown

Gautam, D. K., et al.. (2025). Outcomes of low-dose infliximab as an adjunctive therapy in patients with severe central nervous system tuberculosis. International Journal of Infectious Diseases. 152. 107681–107681.

Michael, Dan, Qing Liu, Yuejia Yin, et al.. (2025). LcTprxII Overexpression Enhances Physiological and Biochemical Effects in Maize Under Alkaline (Na2CO3) Stress. Plants. 14(10). 1467–1467. 1 indexed citations

Noy, Y. Ian, et al.. (2023). High-throughput analysis of the transcriptional patterns of sexual genes in malaria. Parasites & Vectors. 16(1). 14–14. 1 indexed citations

Michael, Dan, Ester Feldmesser, Noa Furth, et al.. (2022). miR‐4734 conditionally suppresses ER stress‐associated proinflammatory responses. FEBS Letters. 597(9). 1233–1245. 3 indexed citations

Ofir-Rosenfeld, Yaara, Kristy Boggs, Dan Michael, Michael B. Kastan, & Moshe Oren. (2008). Mdm2 Regulates p53 mRNA Translation through Inhibitory Interactions with Ribosomal Protein L26. Molecular Cell. 32(2). 180–189. 189 indexed citations

Aylon, Yael, Dan Michael, Ayelet Shmueli, et al.. (2006). A positive feedback loop between the p53 and Lats2 tumor suppressors prevents tetraploidization. Genes & Development. 20(19). 2687–2700. 226 indexed citations

Michael, Dan. (2002). The p53 and Mdm2 families in cancer. Current Opinion in Genetics & Development. 12(1). 53–59. 225 indexed citations

Oren, Moshe, Alexander Damalas, Tanya Gottlieb, et al.. (2002). Regulation of p53. Annals of the New York Academy of Sciences. 973(1). 374–383. 91 indexed citations

Michael, Dan & Moshe Oren. (2002). The p53–Mdm2 module and the ubiquitin system. Seminars in Cancer Biology. 13(1). 49–58. 618 indexed citations breakdown →

10.

Wang, Xinjiang, Dan Michael, Gilbert de Murcia, & Moshe Oren. (2002). p53 Activation by Nitric Oxide Involves Down-regulation of Mdm2. Journal of Biological Chemistry. 277(18). 15697–15702. 76 indexed citations

11.

Michael, Dan, et al.. (1998). Repeated pulses of serotonin required for long-term facilitation activate mitogen-activated protein kinase in sensory neurons of Aplysia. Proceedings of the National Academy of Sciences. 95(4). 1864–1869. 118 indexed citations

12.

Martin, Kelsey C., Dan Michael, Jack C. Rose, et al.. (1997). MAP Kinase Translocates into the Nucleus of the Presynaptic Cell and Is Required for Long-Term Facilitation in Aplysia. Neuron. 18(6). 899–912. 461 indexed citations breakdown →

13.

Yung, Yuval, Zhong Yao, Hadara Rubinfeld, et al.. (1997). Detection of ERK activation by a novel monoclonal antibody. FEBS Letters. 408(3). 292–296. 121 indexed citations

14.

Ginsberg, Doron, et al.. (1991). Induction of Growth Arrest by a Temperature-Sensitive p53 Mutant Is Correlated with Increased Nuclear Localization and Decreased Stability of the Protein. Molecular and Cellular Biology. 11(1). 582–585. 35 indexed citations

15.

Michael, Dan, Fruma Yehiely, Eyal Gottlieb, & Moshe Oren. (1991). Simian virus 40 can overcome the antiproliferative effect of wild-type p53 in the absence of stable large T antigen-p53 binding. Journal of Virology. 65(8). 4160–4168. 20 indexed citations

16.

Ginsberg, Doron, Dan Michael, & Moshe Oren. (1991). Induction of growth arrest by a temperature-sensitive p53 mutant is correlated with increased nuclear localization and decreased stability of the protein.. Molecular and Cellular Biology. 11(1). 582–585. 130 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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