Gil Stelzer

7.3k total citations · 1 hit paper
23 papers, 4.5k citations indexed

About

Gil Stelzer is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Genetics. According to data from OpenAlex, Gil Stelzer has authored 23 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 2 papers in Endocrine and Autonomic Systems and 2 papers in Genetics. Recurrent topics in Gil Stelzer's work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (6 papers) and Genomics and Phylogenetic Studies (5 papers). Gil Stelzer is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (6 papers) and Genomics and Phylogenetic Studies (5 papers). Gil Stelzer collaborates with scholars based in Israel, United States and Austria. Gil Stelzer's co-authors include Marilyn Safran, Doron Lancet, Tsippi Iny Stein, Noa Rappaport, Shahar Zimmerman, Yaron Guan‐Golan, Michal Twik, Naomi Rosen, Yaron Mazor and David Warshawsky and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Gil Stelzer

23 papers receiving 4.5k 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 →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gil Stelzer Israel	15	2.6k	620	575	517	473	23	4.5k
Simon Fishilevich Israel	10	2.5k 1.0×	622 1.0×	625 1.1×	537 1.0×	425 0.9×	12	4.5k
Asher Kohn Israel	4	2.5k 1.0×	612 1.0×	614 1.1×	518 1.0×	421 0.9×	5	4.3k
Michal Twik Israel	8	2.8k 1.1×	682 1.1×	706 1.2×	561 1.1×	423 0.9×	8	4.8k
Inbar Plaschkes Israel	17	3.1k 1.2×	670 1.1×	705 1.2×	550 1.1×	524 1.1×	30	5.2k
Dvir Dahary Israel	15	2.9k 1.1×	744 1.2×	657 1.1×	473 0.9×	390 0.8×	21	4.7k
Ron Nudel Denmark	16	2.7k 1.1×	647 1.0×	912 1.6×	549 1.1×	440 0.9×	37	5.1k
Yaron Mazor Israel	7	2.1k 0.8×	488 0.8×	475 0.8×	478 0.9×	347 0.7×	7	3.7k
Yaron Guan‐Golan Israel	4	2.1k 0.8×	502 0.8×	465 0.8×	489 0.9×	340 0.7×	6	3.7k
Shahar Zimmerman Israel	4	2.0k 0.8×	514 0.8×	442 0.8×	500 1.0×	344 0.7×	4	3.6k
Noa Rappaport United States	20	3.4k 1.3×	743 1.2×	809 1.4×	572 1.1×	462 1.0×	34	5.8k

Countries citing papers authored by Gil Stelzer

Since Specialization

Citations

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

Fields of papers citing papers by Gil Stelzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gil Stelzer

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

All Works

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20 of 20 papers shown

Haque, Rizwanul, Ramiro Lorenzo, Gil Stelzer, et al.. (2025). Decoding sexual dimorphism of the sex-shared nervous system at single-neuron resolution. Science Advances. 11(28). eadv9106–eadv9106. 3 indexed citations

Lindner, J, Bareket Dassa, Gil Stelzer, et al.. (2025). UTAP2: an enhanced user-friendly transcriptome and epigenome analysis pipeline. BMC Bioinformatics. 26(1). 79–79. 2 indexed citations

Haque, Rizwanul, Yehuda Salzberg, Gil Stelzer, et al.. (2024). Sex-specific developmental gene expression atlas unveils dimorphic gene networks in C. elegans. Nature Communications. 15(1). 4273–4273. 9 indexed citations

Brivio, Elena, Aron Kos, Stoyo Karamihalev, et al.. (2023). Sex shapes cell-type-specific transcriptional signatures of stress exposure in the mouse hypothalamus. Cell Reports. 42(8). 112874–112874. 14 indexed citations

Haimov, Ora, Benjamin Weiss, A.N. Plotnikov, et al.. (2022). Inhibitors of eIF4G1–eIF1 uncover its regulatory role of ER/UPR stress-response genes independent of eIF2α-phosphorylation. Proceedings of the National Academy of Sciences. 119(30). e2120339119–e2120339119. 9 indexed citations

Hornung, Gil, et al.. (2019). UTAP: User-friendly Transcriptome Analysis Pipeline. BMC Bioinformatics. 20(1). 154–154. 88 indexed citations

Polonsky, Michal, Irina Zaretsky, Chamutal Bornstein, et al.. (2018). Induction of CD4 T cell memory by local cellular collectivity. Science. 360(6394). 58 indexed citations

Stelzer, Gil, et al.. (2018). Cancer-Associated Eukaryotic Translation Initiation Factor 1A Mutants Impair Rps3 and Rps10 Binding and Enhance Scanning of Cell Cycle Genes. Molecular and Cellular Biology. 39(3). 20 indexed citations

Stelzer, Gil, Naomi Rosen, Inbar Plaschkes, et al.. (2016). The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses. Current Protocols in Bioinformatics. 54(1). 1.30.1–1.30.33. 3231 indexed citations breakdown →

10.

Stelzer, Gil, et al.. (2016). Elucidating tissue specific genes using the Benford distribution. BMC Genomics. 17(1). 595–595. 3 indexed citations

11.

Stelzer, Gil, Yaron Mazor, Ella Buzhor, et al.. (2016). GeneAnalytics: An Integrative Gene Set Analysis Tool for Next Generation Sequencing, RNAseq and Microarray Data. OMICS A Journal of Integrative Biology. 20(3). 139–151. 173 indexed citations

12.

Heinzel, Andreas, Gil Stelzer, Doron Lancet, et al.. (2015). Molecular disease presentation in diabetic nephropathy. Nephrology Dialysis Transplantation. 30(suppl 4). iv17–iv25. 16 indexed citations

13.

Belinky, Frida, Noam Nativ, Gil Stelzer, et al.. (2015). PathCards: multi-source consolidation of human biological pathways. Database. 2015. 214 indexed citations

14.

Stelzer, Gil, et al.. (2014). VennBLAST—Whole transcriptome comparison and visualization tool. Genomics. 105(3). 131–136. 3 indexed citations

15.

Rappaport, Noa, Michal Twik, Noam Nativ, et al.. (2014). MalaCards: A Comprehensive Automatically‐Mined Database of Human Diseases. Current Protocols in Bioinformatics. 47(1). 1.24.1–19. 75 indexed citations

16.

Rappaport, Noa, Noam Nativ, Gil Stelzer, et al.. (2013). MalaCards: an integrated compendium for diseases and their annotation. Database. 2013. bat018–bat018. 214 indexed citations

17.

Olender, Tsviya, Marilyn Safran, Ron Edgar, et al.. (2013). An Overview of Synergistic Data Tools for Biological Scrutiny. Israel Journal of Chemistry. 53(3-4). 185–198. 6 indexed citations

18.

Stelzer, Gil, Tsippi Iny Stein, Naomi Rosen, et al.. (2011). In-silico human genomics with GeneCards. Human Genomics. 5(6). 709–709. 175 indexed citations

19.

Heinzel, Andreas, Paul Perco, Johannes Söllner, et al.. (2011). Mapping of molecular pathways, biomarkers and drug targets for diabetic nephropathy. PROTEOMICS - CLINICAL APPLICATIONS. 5(5-6). 354–366. 31 indexed citations

20.

Harel, Arye, et al.. (2009). GIFtS: annotation landscape analysis with GeneCards. BMC Bioinformatics. 10(1). 348–348. 44 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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