Tsippi Iny Stein

11.4k total citations · 4 hit papers
13 papers, 6.9k citations indexed

About

Tsippi Iny Stein is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Tsippi Iny Stein has authored 13 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Tsippi Iny Stein's work include Bioinformatics and Genomic Networks (9 papers), Biomedical Text Mining and Ontologies (6 papers) and Gene expression and cancer classification (5 papers). Tsippi Iny Stein is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Biomedical Text Mining and Ontologies (6 papers) and Gene expression and cancer classification (5 papers). Tsippi Iny Stein collaborates with scholars based in Israel, United States and Poland. Tsippi Iny Stein's co-authors include Marilyn Safran, Doron Lancet, Naomi Rosen, Noa Rappaport, Michal Twik, Ron Nudel, Inbar Plaschkes, Simon Fishilevich, Asher Kohn and Gil Stelzer and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BioMedical Engineering OnLine.

In The Last Decade

Tsippi Iny Stein

13 papers receiving 6.8k 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 GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses

2016 3.2k citations Gil Stelzer, Naomi Rosen et al. Current Protocols in Bioinformatics profile →
GeneCards Version 3: the human gene integrator

2010 1.5k citations Marilyn Safran, Jake M. Alexander et al. Database profile →
GeneHancer: genome-wide integration of enhancers and target genes in GeneCards

2017 746 citations Simon Fishilevich, Ron Nudel et al. Database profile →
MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search

2016 432 citations Noa Rappaport, Michal Twik et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by Tsippi Iny Stein

Since Specialization

Citations

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

Fields of papers citing papers by Tsippi Iny Stein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsippi Iny Stein. 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 Tsippi Iny Stein. The network helps show where Tsippi Iny Stein may publish in the future.

Co-authorship network of co-authors of Tsippi Iny Stein

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Genome analysis and knowledge-driven variant interpretation with TGex 2019 ·BMC Medical Genomics ·Dvir Dahary, (unknown), Yaron Mazor, (unknown), Ruth Barshir, Michal Twik, Tsippi Iny Stein, Guy Rosner, Revital Kariv, Fei Chen, Qiang Zhang, Yiping Shen, Marilyn Safran, Doron Lancet, Simon Fishilevich	33
2	Rational confederation of genes and diseases: NGS interpretation via GeneCards, MalaCards and VarElect 2017 ·BioMedical Engineering OnLine ·Noa Rappaport, Simon Fishilevich, Ron Nudel, Michal Twik, Frida Belinky, Inbar Plaschkes, Tsippi Iny Stein, Dana Cohen, Danit Oz-Levi, Marilyn Safran, Doron Lancet	68
3	GeneHancer: genome-wide integration of enhancers and target genes in GeneCards breakdown → 2017 ·Database ·Simon Fishilevich, Ron Nudel, Noa Rappaport, Rotem Hadar, Inbar Plaschkes, Tsippi Iny Stein, Naomi Rosen, Asher Kohn, Michal Twik, Marilyn Safran, Doron Lancet, Dana Cohen	746
4	The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses breakdown → 2016 ·Current Protocols in Bioinformatics ·Gil Stelzer, Naomi Rosen, Inbar Plaschkes, Shahar Zimmerman, Michal Twik, Simon Fishilevich, Tsippi Iny Stein, Ron Nudel, (unknown), Yaron Mazor, Sergey Kaplan, Dvir Dahary, David Warshawsky, Yaron Guan‐Golan, Asher Kohn, Noa Rappaport, Marilyn Safran, Doron Lancet	3231
5	Genic insights from integrated human proteomics in GeneCards 2016 ·Database ·Simon Fishilevich, Shahar Zimmerman, Asher Kohn, Tsippi Iny Stein, Tsviya Olender, Eugene Kolker, Marilyn Safran, Doron Lancet	140
6	MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search breakdown → 2016 ·Nucleic Acids Research ·Noa Rappaport, Michal Twik, Inbar Plaschkes, Ron Nudel, Tsippi Iny Stein, J. Levitt, Moran Gershoni, C. Paul Morrey, Marilyn Safran, Doron Lancet	432
7	PathCards: multi-source consolidation of human biological pathways 2015 ·Database ·Frida Belinky, Noam Nativ, Gil Stelzer, Shahar Zimmerman, Tsippi Iny Stein, Marilyn Safran, Doron Lancet	214
8	MalaCards: A Comprehensive Automatically‐Mined Database of Human Diseases 2014 ·Current Protocols in Bioinformatics ·Noa Rappaport, Michal Twik, Noam Nativ, Gil Stelzer, Iris Bahir, Tsippi Iny Stein, Marilyn Safran, Doron Lancet	75
9	MalaCards: an integrated compendium for diseases and their annotation 2013 ·Database ·Noa Rappaport, Noam Nativ, Gil Stelzer, Michal Twik, Yaron Guan‐Golan, Tsippi Iny Stein, Iris Bahir, Frida Belinky, C. Paul Morrey, Marilyn Safran, Doron Lancet	214
10	Non-redundant compendium of human ncRNA genes in GeneCards 2012 ·Bioinformatics ·Frida Belinky, Iris Bahir, Gil Stelzer, Shahar Zimmerman, Naomi Rosen, Noam Nativ, (unknown), Tsippi Iny Stein, Noa Rappaport, Toutai Mituyama, Marilyn Safran, Doron Lancet	38
11	In-silico human genomics with GeneCards 2011 ·Human Genomics ·Gil Stelzer, (unknown), Tsippi Iny Stein, (unknown), Naomi Rosen, Noam Nativ, Danit Oz-Levi, Tsviya Olender, Frida Belinky, Iris Bahir, (unknown), Paul Perco, Bernd Mayer, Eugene Kolker, Marilyn Safran, Doron Lancet	175
12	GeneCards Version 3: the human gene integrator breakdown → 2010 ·Database ·Marilyn Safran, (unknown), Jake M. Alexander, Naomi Rosen, Tsippi Iny Stein, Michael Shmoish, Noam Nativ, Iris Bahir, Tirza Doniger, Harald F. Krug, Alexandra Sirota‐Madi, Tsviya Olender, Yoav Golan, Greg Stelzer, Amnon Harel, Doron Lancet	1453
13	GeneAnnot: comprehensive two-way linking between oligonucleotide array probesets and GeneCards genes 2004 ·Bioinformatics ·Vered Chalifa‐Caspi, Itai Yanai, Ron Ophir, Naomi Rosen, Michael Shmoish, (unknown), (unknown), Tsippi Iny Stein, Orit Shmueli, Marilyn Safran, Doron Lancet	43

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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