Inbal Maayan

957 total citations · 1 hit paper
6 papers, 456 citations indexed

About

Inbal Maayan is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Inbal Maayan has authored 6 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Immunology. Recurrent topics in Inbal Maayan's work include Immune Response and Inflammation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Fungal and yeast genetics research (2 papers). Inbal Maayan is often cited by papers focused on Immune Response and Inflammation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Fungal and yeast genetics research (2 papers). Inbal Maayan collaborates with scholars based in Israel, United States and Canada. Inbal Maayan's co-authors include Markus W. Covert, Mialy DeFelice, Takamasa Kudo, Keara Lane, Nicolas Quach, Derek N. Macklin, Yu Tanouchi, Euan A. Ashley, David Engelberg and Oded Livnah and has published in prestigious journals such as PLoS ONE, Biochemical Journal and FEBS Letters.

In The Last Decade

Inbal Maayan

6 papers receiving 451 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.

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments

2016 337 citations Takamasa Kudo, Keara Lane et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Inbal Maayan Israel	6	224	222	83	62	61	6	456
Mialy DeFelice United States	4	251 1.1×	243 1.1×	83 1.0×	66 1.1×	61 1.0×	5	496
Yijun Su China	14	322 1.4×	149 0.7×	49 0.6×	107 1.7×	56 0.9×	40	690
Florian Heigwer Germany	13	629 2.8×	230 1.0×	63 0.8×	86 1.4×	15 0.2×	21	894
Tamás Balassa Hungary	10	166 0.7×	164 0.7×	50 0.6×	63 1.0×	39 0.6×	10	340
Antti Niemistö United States	11	256 1.1×	87 0.4×	31 0.4×	146 2.4×	41 0.7×	30	526
Thomas Blasi Germany	8	239 1.1×	282 1.3×	62 0.7×	164 2.6×	62 1.0×	9	528
Kelly Hanson Australia	7	240 1.1×	85 0.4×	51 0.6×	11 0.2×	57 0.9×	7	407
Jean‐Baptiste Lugagne United States	11	403 1.8×	233 1.0×	55 0.7×	147 2.4×	25 0.4×	15	599
Christina Laufer Germany	9	426 1.9×	173 0.8×	48 0.6×	54 0.9×	12 0.2×	13	591
Mojca Mattiazzi Ušaj Canada	10	492 2.2×	159 0.7×	41 0.5×	53 0.9×	12 0.2×	22	658

Countries citing papers authored by Inbal Maayan

Since Specialization

Citations

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

Fields of papers citing papers by Inbal Maayan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inbal Maayan

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

DeFelice, Mialy, Jacob Hughey, Inbal Maayan, et al.. (2019). NF-κB signaling dynamics is controlled by a dose-sensing autoregulatory loop. Science Signaling. 12(579). 46 indexed citations

2.

Gutschow, Miriam V., J. C. Mason, Keara Lane, et al.. (2018). Combinatorial processing of bacterial and host-derived innate immune stimuli at the single-cell level. Molecular Biology of the Cell. 30(2). 282–292. 10 indexed citations

3.

Kudo, Takamasa, Keara Lane, Derek N. Macklin, et al.. (2016). Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments. PLoS Computational Biology. 12(11). e1005177–e1005177. 337 indexed citations breakdown →

4.

Maayan, Inbal, et al.. (2012). Osmostress Induces Autophosphorylation of Hog1 via a C-Terminal Regulatory Region That Is Conserved in p38α. PLoS ONE. 7(9). e44749–e44749. 24 indexed citations

5.

Maayan, Inbal & David Engelberg. (2009). The yeast MAPK Hog1 is not essential for immediate survival under osmostress. FEBS Letters. 583(12). 2015–2020. 13 indexed citations

6.

Maayan, Inbal, et al.. (2008). When expressed in yeast, mammalian mitogen-activated protein kinases lose proper regulation and become spontaneously phosphorylated. Biochemical Journal. 417(1). 331–342. 26 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.

Explore authors with similar magnitude of impact