Daniel Mordechovich

1.3k total citations · 1 hit paper
6 papers, 1.0k citations indexed

About

Daniel Mordechovich is a scholar working on Genetics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Daniel Mordechovich has authored 6 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Biomedical Engineering and 2 papers in Molecular Biology. Recurrent topics in Daniel Mordechovich's work include 3D Printing in Biomedical Research (3 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer Research and Treatments (2 papers). Daniel Mordechovich is often cited by papers focused on 3D Printing in Biomedical Research (3 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer Research and Treatments (2 papers). Daniel Mordechovich collaborates with scholars based in Switzerland, Israel and France. Daniel Mordechovich's co-authors include Yoram Palti, Rosa S. Schneiderman, Eilon D. Kirson, Aviran Itzhaki, Dorit Goldsher, Yoram Wasserman, F Tovaryś, Josef Vymazal, Vladimír Dbalý and Bernhard Ryffel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Clinical & Experimental Metastasis.

In The Last Decade

Daniel Mordechovich

6 papers receiving 983 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.

Alternating electric fields arrest cell proliferation in animal tumor models and human brain tumors

2007 639 citations Eilon D. Kirson, Vladimír Dbalý et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Mordechovich Switzerland	4	419	406	248	215	174	6	1.0k
Vladimír Dbalý Czechia	7	348 0.8×	392 1.0×	232 0.9×	210 1.0×	169 1.0×	9	1.0k
F Tovaryś Czechia	6	333 0.8×	384 0.9×	212 0.9×	176 0.8×	157 0.9×	11	943
Mijal Munster United States	12	338 0.8×	414 1.0×	238 1.0×	143 0.7×	190 1.1×	51	878
Dorit Goldsher Israel	16	386 0.9×	433 1.1×	586 2.4×	269 1.3×	295 1.7×	32	1.8k
Yoram Wasserman Israel	9	693 1.7×	590 1.5×	415 1.7×	339 1.6×	261 1.5×	14	1.7k
Moshe Giladi United States	19	674 1.6×	662 1.6×	456 1.8×	282 1.3×	295 1.7×	121	1.6k
Shay Cahal United States	7	276 0.7×	266 0.7×	166 0.7×	128 0.6×	119 0.7×	22	640
Uri Weinberg Switzerland	18	676 1.6×	724 1.8×	494 2.0×	271 1.3×	337 1.9×	114	1.8k
Anna Shteingauz Israel	13	261 0.6×	288 0.7×	415 1.7×	112 0.5×	139 0.8×	40	969
Rachel Schatzberger Israel	4	243 0.6×	202 0.5×	153 0.6×	133 0.6×	89 0.5×	11	637

Countries citing papers authored by Daniel Mordechovich

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Mordechovich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mordechovich

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

All Works

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6 of 6 papers shown

1.

Giladi, Moshe, Rosa S. Schneiderman, Yaara Porat, et al.. (2013). Mitotic disruption and reduced clonogenicity of pancreatic cancer cells in vitro and in vivo by tumor treating fields. Pancreatology. 14(1). 54–63. 75 indexed citations

2.

Giladi, Moshe, Rosa S. Schneiderman, Yaara Porat, et al.. (2013). Abstract 5569: Tumor Treating Fields inhibit the growth of pancreatic and ovarian cancer in preclinical models .. Cancer Research. 73(8_Supplement). 5569–5569. 1 indexed citations

3.

Pless, Miklos, Uri Weinberg, Daniel Betticher, et al.. (2012). Abstract 4607: A translational study of Tumor Treating Fields in non small cell lung cancer. Cancer Research. 72(8_Supplement). 4607–4607. 1 indexed citations

4.

Kirson, Eilon D., Moshe Giladi, Aviran Itzhaki, et al.. (2009). Alternating electric fields (TTFields) inhibit metastatic spread of solid tumors to the lungs. Clinical & Experimental Metastasis. 26(7). 633–640. 134 indexed citations

5.

Kirson, Eilon D., Rosa S. Schneiderman, Vladimír Dbalý, et al.. (2009). Chemotherapeutic treatment efficacy and sensitivity are increased by adjuvant alternating electric fields (TTFields). PubMed. 9(1). 1–1. 174 indexed citations

6.

Kirson, Eilon D., Vladimír Dbalý, F Tovaryś, et al.. (2007). Alternating electric fields arrest cell proliferation in animal tumor models and human brain tumors. Proceedings of the National Academy of Sciences. 104(24). 10152–10157. 639 indexed citations breakdown →

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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