Eilon D. Kirson

10.2k total citations · 2 hit papers
123 papers, 3.7k citations indexed

About

Eilon D. Kirson is a scholar working on Biomedical Engineering, Molecular Biology and Genetics. According to data from OpenAlex, Eilon D. Kirson has authored 123 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Biomedical Engineering, 37 papers in Molecular Biology and 30 papers in Genetics. Recurrent topics in Eilon D. Kirson's work include Glioma Diagnosis and Treatment (30 papers), 3D Printing in Biomedical Research (24 papers) and Neuroscience and Neural Engineering (18 papers). Eilon D. Kirson is often cited by papers focused on Glioma Diagnosis and Treatment (30 papers), 3D Printing in Biomedical Research (24 papers) and Neuroscience and Neural Engineering (18 papers). Eilon D. Kirson collaborates with scholars based in Switzerland, Israel and United States. Eilon D. Kirson's co-authors include Yoram Palti, Rosa S. Schneiderman, Aviran Itzhaki, Yoram Wasserman, Uri Weinberg, Yoel Yaari, E. Dekel, Moshe Giladi, Yaara Porat and Daniel Mordechovich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Eilon D. Kirson

116 papers receiving 3.6k 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. profile →
Disruption of Cancer Cell Replication by Alternating Electric Fields

2004 575 citations Eilon D. Kirson, Rosa S. Schneiderman et al. Cancer Research profile →

Peers

Eilon D. Kirson

BE

GENET

MB

CMN

PRM

Aviran Itzhaki Israel

Yoram Wasserman Israel

Simone P. Niclou Luxembourg

Hugo Guerrero‐Cazares United States

Behnam Badie United States

Roberto Pallini Italy

Peter C. Warnke United States

Colin Watts United Kingdom

Ryuta Saito Japan

Douglas W. Laske United States

Aviran Itzhaki Israel

Eilon D. Kirson

882 ×0.7

BE

832 ×0.7

GENET

593 ×0.6

MB

499 ×0.5

CMN

358 ×0.6

PRM

Citations per year, relative to Eilon D. Kirson Eilon D. Kirson (= 1×) peers Aviran Itzhaki

Countries citing papers authored by Eilon D. Kirson

Since Specialization

Citations

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

Fields of papers citing papers by Eilon D. Kirson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eilon D. Kirson. 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 Eilon D. Kirson. The network helps show where Eilon D. Kirson may publish in the future.

Co-authorship network of co-authors of Eilon D. Kirson

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

20 of 20 papers shown

1.

Voloshin, Tali, Noa Kaynan, Yaara Porat, et al.. (2020). Tumor-treating fields (TTFields) induce immunogenic cell death resulting in enhanced antitumor efficacy when combined with anti-PD-1 therapy. Cancer Immunology Immunotherapy. 69(7). 1191–1204. 114 indexed citations

2.

Urman, Noa, et al.. (2019). P2.06-21 Efficacy and Safety of Tumor Treating Fields Delivery to the Thorax by Computational Simulations. Journal of Thoracic Oncology. 14(10). S763–S763. 1 indexed citations

3.

Weinberg, Uri, et al.. (2019). Computational simulations to determine the effectiveness and thermal safety of tumor treating fields with delivery to the abdomen. Annals of Oncology. 30. iv70–iv71. 2 indexed citations

4.

Porat, Yaara, Moshe Giladi, Rosa S. Schneiderman, et al.. (2017). Determining the Optimal Inhibitory Frequency for Cancerous Cells Using Tumor Treating Fields (TTFields). Journal of Visualized Experiments. 23 indexed citations

5.

Weinberg, Uri, et al.. (2017). TTFields combined with PD-1 inhibitors or docetaxel for 2nd line treatment of non-small cell lung cancer (NSCLC): Phase 3 LUNAR study. Annals of Oncology. 28. ii51–ii51. 2 indexed citations

6.

Weinberg, Uri, et al.. (2017). P2.06-036 LUNAR - A Phase 3 Trial of TTFields in Combination with PD-1 Inhibitors or Docetaxel for 2nd Line Treatment of Non-Small-Cell Lung Cancer (NSCLC). Journal of Thoracic Oncology. 12(1). S1093–S1094. 1 indexed citations

7.

Weinberg, U., et al.. (2017). The influence of body composition on TTFields intensity in the lungs. Annals of Oncology. 28. ii47–ii47.

8.

Porat, Yaara, Moshe Giladi, Rosa S. Schneiderman, et al.. (2017). Determining the Optimal Inhibitory Frequency for Cancerous Cells Using Tumor Treating Fields (TTFields). Journal of Visualized Experiments. 46 indexed citations

9.

Weinberg, Uri, Tali Voloshin, Noa Kaynan, et al.. (2017). Efficacy of Tumor Treating Fields (TTFields) and anti-PD-1 in non-small cell lung cancer (NSCLC) preclinical models. Annals of Oncology. 28. ii11–ii12. 1 indexed citations

10.

Stupp, Roger, Martin Taphoorn, Linda Dirven, et al.. (2017). Tumor Treating Fields (TTFields) – A novel cancer treatment modality: Translating preclinical evidence and engineering into a survival benefit with delayed decline in quality of life. Annals of Oncology. 28. v112–v112. 4 indexed citations

11.

Bomzon, Zéev, Cornelia Wenger, Moshe Giladi, et al.. (2016). Quantifying the Effect of Electric Fields in the Frequency Range of 100-500 khz on Mitotic Spindle Structures. Biophysical Journal. 110(3). 619a–619a. 1 indexed citations

12.

Weinberg, Uri, et al.. (2016). 194TiP: LUNAR: Phase III study of front-line chemotherapy with TTFields for advanced squamous NSCLC. Journal of Thoracic Oncology. 11(4). S141–S141. 3 indexed citations

13.

Chaudhry, Aafia, et al.. (2015). NovoTTF™-100A System (Tumor Treating Fields) transducer array layout planning for glioblastoma: a NovoTAL™ system user study. World Journal of Surgical Oncology. 13(1). 316–316. 51 indexed citations

14.

Schneiderman, Rosa S., et al.. (2010). TTFields alone and in combination with chemotherapeutic agents effectively reduce the viability of MDR cell sub-lines that over-express ABC transporters. BMC Cancer. 10(1). 229–229. 60 indexed citations

15.

Stupp, Roger, Andrew A. Kanner, Herbert H. Engelhard, et al.. (2010). A prospective, randomized, open-label, phase III clinical trial of NovoTTF-100A versus best standard of care chemotherapy in patients with recurrent glioblastoma.. Journal of Clinical Oncology. 28(18_suppl). LBA2007–LBA2007. 18 indexed citations

16.

Salzberg, Marc, Eilon D. Kirson, Yoram Palti, & Christoph Rochlitz. (2008). A Pilot Study with Very Low-Intensity, Intermediate-Frequency Electric Fields in Patients with Locally Advanced and/or Metastatic Solid Tumors. Onkologie. 31(7). 362–365. 48 indexed citations

17.

Schneiderman, Rosa S., et al.. (2007). Synergism between chemotherapy and alternating electric fields in the inhibition of cancer cell proliferation in-vitro. Cancer Research. 67. 2276–2276. 1 indexed citations

18.

Palti, Yoram, Rosa S. Schneiderman, E. Dekel, et al.. (2004). Cell proliferation arrest and tumor cell destruction by low intensity, frequency tuned electric fields. Cancer Research. 64. 1000–1000. 1 indexed citations

19.

Hassin‐Baer, Sharon, Eilon D. Kirson, Lester M. Shulman, et al.. (2004). Stiff-Person Syndrome Following West Nile Fever. Archives of Neurology. 61(6). 938–938. 39 indexed citations

20.

Kirson, Eilon D. & Yoel Yaari. (2000). A novel technique for micro-dissection of neuronal processes. Journal of Neuroscience Methods. 98(2). 119–122. 12 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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