Chaim Linhart

2.4k total citations
27 papers, 1.8k citations indexed

About

Chaim Linhart is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Chaim Linhart has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Artificial Intelligence and 4 papers in Oncology. Recurrent topics in Chaim Linhart's work include AI in cancer detection (6 papers), Gene expression and cancer classification (6 papers) and Genomics and Chromatin Dynamics (6 papers). Chaim Linhart is often cited by papers focused on AI in cancer detection (6 papers), Gene expression and cancer classification (6 papers) and Genomics and Chromatin Dynamics (6 papers). Chaim Linhart collaborates with scholars based in Israel, United States and France. Chaim Linhart's co-authors include Ron Shamir, Ran Elkon, Yosef Shiloh, Roded Sharan, Adi Maron‐Katz, Amos Tanay, Israel Steinfeld, Igor Ulitsky, S. Shavit and Gideon Rechavi and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Chaim Linhart

27 papers receiving 1.7k citations

Peers

Chaim Linhart
Gökçen Eraslan United States
Sukla Roychowdhury United States
Zhi Huang China
Michael Lush United Kingdom
Žiga Avsec Germany
Jeremy Gollub United States
Yvonne A. Evrard United States
Eleanor Williams United Kingdom
Gökçen Eraslan United States
Chaim Linhart
Citations per year, relative to Chaim Linhart Chaim Linhart (= 1×) peers Gökçen Eraslan

Countries citing papers authored by Chaim Linhart

Since Specialization
Citations

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

Fields of papers citing papers by Chaim Linhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaim Linhart

This figure shows the co-authorship network connecting the top 25 collaborators of Chaim Linhart. A scholar is included among the top collaborators of Chaim Linhart 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 Chaim Linhart. Chaim Linhart 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.
Krishnamurthy, Savitri, Stuart J. Schnitt, Anne Vincent‐Salomon, et al.. (2024). Fully Automated Artificial Intelligence Solution for Human Epidermal Growth Factor Receptor 2 Immunohistochemistry Scoring in Breast Cancer: A Multireader Study. JCO Precision Oncology. 8(8). e2400353–e2400353. 10 indexed citations
3.
Harel, Jonathan, Giuseppe Mallel, Michel E. Vandenberghe, et al.. (2023). Abstract P6-04-05: A fully automatic artificial intelligence system for accurate and reproducible HER2 IHC scoring in breast cancer. Cancer Research. 83(5_Supplement). P6–4. 1 indexed citations
4.
Sandbank, Judith, Guillaume Bataillon, Douglas P. Clark, et al.. (2022). Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies. npj Breast Cancer. 8(1). 129–129. 62 indexed citations
5.
Pantanowitz, Liron, Gabriela Quiroga‐Garza, Daphna Laifenfeld, et al.. (2020). An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study. The Lancet Digital Health. 2(8). e407–e416. 210 indexed citations
6.
Maron‐Katz, Adi, David Amar, Igor Ulitsky, et al.. (2019). The EXPANDER Integrated Platform for Transcriptome Analysis. Journal of Molecular Biology. 431(13). 2398–2406. 21 indexed citations
7.
Orenstein, Yaron, Chaim Linhart, & Ron Shamir. (2012). Assessment of Algorithms for Inferring Positional Weight Matrix Motifs of Transcription Factor Binding Sites Using Protein Binding Microarray Data. PLoS ONE. 7(9). e46145–e46145. 18 indexed citations
8.
Ozery-Flato, Michal, Chaim Linhart, Luba Trakhtenbrot, Shai Izraeli, & Ron Shamir. (2011). Large-scale analysis of chromosomal aberrations in cancer karyotypes reveals two distinct paths to aneuploidy. Genome biology. 12(6). R61–R61. 39 indexed citations
9.
Elkon, Ran, S. Shavit, Yaniv Lerenthal, et al.. (2011). Transcriptional modulation induced by ionizing radiation: p53 remains a central player. Molecular Oncology. 5(4). 336–348. 78 indexed citations
10.
Linhart, Chaim, et al.. (2011). A novel candidate cis-regulatory motif pair in the promoters of germline and oogenesis genes in C. elegans. Genome Research. 22(1). 76–83. 4 indexed citations
11.
Ulitsky, Igor, Adi Maron‐Katz, S. Shavit, et al.. (2010). Expander: from expression microarrays to networks and functions. Nature Protocols. 5(2). 303–322. 150 indexed citations
12.
Linhart, Chaim, et al.. (2009). Allegro: Analyzing expression and sequence in concert to discover regulatory programs. Nucleic Acids Research. 37(5). 1566–1579. 34 indexed citations
13.
Linhart, Chaim, et al.. (2008). Transcription factor and microRNA motif discovery: The Amadeus platform and a compendium of metazoan target sets. Genome Research. 18(7). 1180–1189. 150 indexed citations
14.
Linhart, Chaim & Ron Shamir. (2007). Degenerate Primer Design. Methods in molecular biology. 402. 220–244. 14 indexed citations
15.
Linhart, Chaim, Ran Elkon, Yosef Shiloh, & Ron Shamir. (2005). Deciphering Transcriptional Regulatory Elements That Encode Specific Cell-Cycle Phasing by Comparative Genomics Analysis. Cell Cycle. 4(12). 1788–1797. 39 indexed citations
16.
Elkon, Ran, Noam Weizman, Chaim Linhart, et al.. (2005). Parallel induction of ATM-dependent pro- and antiapoptotic signals in response to ionizing radiation in murine lymphoid tissue. Oncogene. 25(10). 1584–1592. 62 indexed citations
17.
Shamir, Ron, Adi Maron‐Katz, Amos Tanay, et al.. (2005). EXPANDER – an integrative program suite for microarray data analysis. BMC Bioinformatics. 6(1). 232–232. 260 indexed citations
18.
Elkon, Ran, Chaim Linhart, Roded Sharan, Ron Shamir, & Yosef Shiloh. (2003). Genome-Wide In Silico Identification of Transcriptional Regulators Controlling the Cell Cycle in Human Cells. Genome Research. 13(5). 773–780. 250 indexed citations
19.
Olender, Tsviya, Tania Fuchs, Chaim Linhart, et al.. (2003). The canine olfactory subgenome. Genomics. 83(3). 361–372. 89 indexed citations
20.
Fuchs, Tania, Barbora Malecová, Chaim Linhart, et al.. (2002). DEFOG: A Practical Scheme for Deciphering Families of Genes. Genomics. 80(3). 295–302. 18 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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