Liat Ein‐Dor

2.6k citations

29 papers · 1.6k indexed · 2 hit papers · h-index 11

Impact in

Cancer Research top 10%
- Cancer Genomics and Diagnostics
Molecular Biology top 10%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics

Papers in ⓘ

Artificial Intelligence 20
- Natural Language Processing Techniques 8
- Topic Modeling 8
- Neural Networks and Applications 6
- Sentiment Analysis and Opinion Mining 3
Molecular Biology 6
- Gene expression and cancer classification 4
- Molecular Biology Techniques and Applications 3

Co-authors: Eytan Domany (6 shared papers)Or Zuk (3 shared papers)David Givol (3 shared papers)Gad Getz (2 shared papers)Itai Kela (2 shared papers)Ido Kanter (8 shared papers)Dafna Tsafrir (1 shared paper)Ilan Tsafrir (1 shared paper)
Journals: Big Data (1 paper)Bioinformatics (1 paper)IBM Journal of Research and Development (1 paper)Leukemia (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)
Partner nations: Israel United States Germany

In The Last Decade

Liat Ein‐Dor

25 papers receiving 1.6k citations

Hit Papers

align trajectories log scale

Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer 2006 · 506 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2006 Proceedings of the National Academy of Sciences
2004 Bioinformatics

Peers

Countries citing papers authored by Liat Ein‐Dor

Since Specialization

Citations

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

Fields of papers citing papers by Liat Ein‐Dor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liat Ein‐Dor. 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 Liat Ein‐Dor. The network helps show where Liat Ein‐Dor may publish in the future.

Co-authors

The 25 scholars most cited alongside Liat Ein‐Dor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liat Ein‐Dor Line = papers co-authored together Liat Ein‐Dor links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Outcome signature genes in breast cancer: is there a unique set? Bioinformatics ·Liat Ein‐Dor, Itai Kela, Gad Getz, David Givol, Eytan Domany Hit paper breakdown →	2004	580
2	Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer Proceedings of the National Academy of Sciences ·Liat Ein‐Dor, Or Zuk, Eytan Domany Hit paper breakdown →	2006	506
3	Sorting points into neighborhoods (SPIN): data analysis and visualization by ordering distance matrices Computer applications in the biosciences ·Dafna Tsafrir, Ilan Tsafrir, Liat Ein‐Dor, Or Zuk, Dan Notterman, Eytan Domany	2005	113
4	Gene expression profiles of AML derived stem cells; similarity to hematopoietic stem cells Leukemia ·Hilah Gal, Ninette Amariglio, L. Trakhtenbrot, Jasmine Jacob-Hirsh, Ofer Margalit, Abraham Avigdor, Arnon Nagler, Sigal Tavor, Liat Ein‐Dor, Tsvee Lapidot, Eytan Domany, Gideon Rechavi, David Givol	2006	108
5	Active Learning for BERT: An Empirical Study Liat Ein‐Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim	2020	79
6	Functional gene groups are concentrated within chromosomes, among chromosomes and in the nuclear space of the human genome Nucleic Acids Research ·Annelyse Thévenin, Liat Ein‐Dor, Michal Ozery-Flato, Ron Shamir	2014	61
7	Zero-Shot Text Classification with Self-Training Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein‐Dor, Noam Slonim	2022	27
8	Outcome signature genes in breast cancer: is there a unique set? Breast Cancer Research ·Itai Kela, Liat Ein‐Dor, Gad Getz, David Givol, Eytan Domany	2005	24
9	Multichoice minority game Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics ·Liat Ein‐Dor, Richard Metzler, Ido Kanter, Wolfgang Kinzel	2001	17
10	Financial Event Extraction Using Wikipedia-Based Weak Supervision Liat Ein‐Dor, Ariel Gera, Orith Toledo‐Ronen, Alon Halfon, Benjamin Sznajder, Lena Dankin, Yonatan Bilu, Yoav Katz, Noam Slonim	2019	12
11	Quality Controlled Paraphrase Generation Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein‐Dor	2022	10
12	Confidence in prediction by neural networks Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics ·Liat Ein‐Dor, Ido Kanter	1999	10
13	Workstation capacity tuning using reinforcement learning Aharon Bar-Hillel, Amir Di-Nur, Liat Ein‐Dor, Ran Gilad-Bachrach, Yossi Ittach	2007	10
14	Zero-shot Topical Text Classification with LLMs - an Experimental Study Shai Gretz, Alon Halfon, Ilya Shnayderman, Orith Toledo‐Ronen, Artem Spector, Lena Dankin, Yannis Katsis, Ofir Arviv, Yoav Katz, Noam Slonim, Liat Ein‐Dor	2023	10
15	Matrix games with nonuniform payoff distributions Physica A Statistical Mechanics and its Applications ·Liat Ein‐Dor, Ido Kanter	2001	9
16	Low autocorrelated multiphase sequences Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics ·Liat Ein‐Dor, Ido Kanter, Wolfgang Kinzel	2002	8
17	TR9856: A Multi-word Term Relatedness Benchmark Ran Levy, Liat Ein‐Dor, Shay Hummel, Ruty Rinott, Noam Slonim	2015	8
18	Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study Big Data ·Michal Ozery-Flato, Liat Ein‐Dor, Naama Parush-Shear-Yashuv, Ranit Aharonov, Hani Neuvirth, Martin Köhn, Jianying Hu	2016	6
19	Generation of unpredictable time series by a neural network Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics ·Richard Metzler, Wolfgang Kinzel, Liat Ein‐Dor, Ido Kanter	2001	6
20	Time series generation by multilayer networks Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics ·Liat Ein‐Dor, Ido Kanter	1998	6

About Liat Ein‐Dor

Liat Ein‐Dor is a scholar working on Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics, Computer Networks and Communications and Economics and Econometrics, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers), Neural Networks and Applications (6 papers), Complex Systems and Time Series Analysis (4 papers), Statistical Mechanics and Entropy (4 papers), Gene expression and cancer classification (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Cancer Research (307 citations), Molecular Biology (1.1k citations), Artificial Intelligence (268 citations), Computational Theory and Mathematics (114 citations) and Hematology (73 citations). Liat Ein‐Dor has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Eytan Domany, Or Zuk, David Givol, Gad Getz, Itai Kela, Ido Kanter, Dafna Tsafrir, Ilan Tsafrir, Noam Slonim and Michal Ozery-Flato. Their work appears in journals such as Big Data, Bioinformatics, IBM Journal of Research and Development, Leukemia and Physica A Statistical Mechanics and its Applications.

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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