Inna Averbukh

1.1k total citations
12 papers, 341 citations indexed

About

Inna Averbukh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Inna Averbukh has authored 12 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Inna Averbukh's work include Developmental Biology and Gene Regulation (5 papers), Single-cell and spatial transcriptomics (2 papers) and Gene Regulatory Network Analysis (2 papers). Inna Averbukh is often cited by papers focused on Developmental Biology and Gene Regulation (5 papers), Single-cell and spatial transcriptomics (2 papers) and Gene Regulatory Network Analysis (2 papers). Inna Averbukh collaborates with scholars based in Israel, United States and Switzerland. Inna Averbukh's co-authors include Naama Barkai, Shalev Itzkovitz, Siddhartha Mishra, Danny Ben‐Zvi, Ido Amit, Keren Bahar Halpern, Andreas E. Moor, Yotam Harnik, Ben‐Zion Shilo and Chris Q. Doe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Development.

In The Last Decade

Inna Averbukh

12 papers receiving 339 citations

Peers

Inna Averbukh

MB

ONCOL

CB

GENET

IMMUN

Bingzheng Lu China

Victoria M. Longshaw South Africa

Jonathan Bingham United States

Armando Aranda‐Anzaldo Mexico

Zoltán Ferjentsik United Kingdom

Debora Dumont Belgium

Samantha Beck France

Yanhua Rao United States

Nicolas T. Chartier France

Adriana Zakrzewska United States

Bingzheng Lu China

Inna Averbukh

193 ×0.9

MB

53 ×0.8

ONCOL

26 ×0.4

CB

102 ×1.9

GENET

57 ×1.2

IMMUN

Citations per year, relative to Inna Averbukh Inna Averbukh (= 1×) peers Bingzheng Lu

Countries citing papers authored by Inna Averbukh

Since Specialization

Citations

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

Fields of papers citing papers by Inna Averbukh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Averbukh

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

All Works

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12 of 12 papers shown

1.

Glass, David R., Reema Baskar, Inna Averbukh, et al.. (2022). Supervised dimensionality reduction for exploration of single-cell data by HSS-LDA. Patterns. 3(8). 100536–100536. 12 indexed citations

2.

Manco, Rita, Inna Averbukh, Ziv Porat, et al.. (2021). Clump sequencing exposes the spatial expression programs of intestinal secretory cells. Nature Communications. 12(1). 3074–3074. 43 indexed citations

3.

Harnik, Yotam, Lisa Buchauer, Shani Ben‐Moshe, et al.. (2021). Spatial discordances between mRNAs and proteins in the intestinal epithelium. Nature Metabolism. 3(12). 1680–1693. 33 indexed citations

4.

Carmon, Shari, Inna Averbukh, Farzaneh Khajouei, et al.. (2020). Global shape of Toll activation is determined bywntDenhancer properties. Proceedings of the National Academy of Sciences. 117(3). 1552–1558. 3 indexed citations

5.

Halpern, Keren Bahar, Hassan Massalha, Rachel K. Zwick, et al.. (2020). Lgr5+ telocytes are a signaling source at the intestinal villus tip. Nature Communications. 11(1). 1936–1936. 100 indexed citations

6.

Averbukh, Inna, et al.. (2019). Dynamics of Spaetzle morphogen shuttling in the Drosophila embryo shapes gastrulation patterning. Development. 146(21). 17 indexed citations

7.

Averbukh, Inna, Sen-Lin Lai, Chris Q. Doe, & Naama Barkai. (2018). A repressor-decay timer for robust temporal patterning in embryonic Drosophila neuroblast lineages. eLife. 7. 27 indexed citations

8.

Averbukh, Inna, et al.. (2016). A WntD-Dependent Integral Feedback Loop Attenuates Variability in Drosophila Toll Signaling. Developmental Cell. 36(4). 401–414. 27 indexed citations

9.

Averbukh, Inna, Avishai Gavish, Ben‐Zion Shilo, & Naama Barkai. (2016). Dealing with noise: The challenge of buffering biological variability. Current Opinion in Systems Biology. 1. 69–74. 5 indexed citations

10.

Averbukh, Inna, Danny Ben‐Zvi, Siddhartha Mishra, & Naama Barkai. (2014). Scaling morphogen gradients during tissue growth by a cell division rule. Development. 141(10). 2150–2156. 59 indexed citations

11.

Elhanati, Yuval, et al.. (2013). Dynamics of the cell-cycle network under genome-rewiring perturbations. Physical Biology. 10(6). 66001–66001. 4 indexed citations

12.

Averbukh, Inna, et al.. (2008). Controlling the Reactivity of Adsorbed DNA on Template Surfaces. Langmuir. 24(3). 927–931. 11 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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