Monika Mis

2.6k total citations · 1 hit paper
6 papers, 1.2k citations indexed

About

Monika Mis is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Monika Mis has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Monika Mis's work include Wnt/β-catenin signaling in development and cancer (2 papers), Ubiquitin and proteasome pathways (2 papers) and Protein Degradation and Inhibitors (2 papers). Monika Mis is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (2 papers), Ubiquitin and proteasome pathways (2 papers) and Protein Degradation and Inhibitors (2 papers). Monika Mis collaborates with scholars based in Canada, United States and Sweden. Monika Mis's co-authors include Stéphane Angers, Zachary Steinhart, Jason Moffat, Traver Hart, Sachdev S. Sidhu, Megha Chandrashekhar, Kevin R. Brown, Amélie Fradet‐Turcotte, Daniel Durocher and Song Sun and has published in prestigious journals such as Cell, The Journal of Cell Biology and Cancer Research.

In The Last Decade

Monika Mis

5 papers receiving 1.2k 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.

High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities

2015 1000 citations Traver Hart, Megha Chandrashekhar et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Monika Mis Canada	5	1.1k	178	149	134	131	6	1.2k
Megha Chandrashekhar Canada	6	1.1k 1.0×	230 1.3×	97 0.7×	145 1.1×	154 1.2×	7	1.3k
Patricia Mero Canada	8	978 0.9×	175 1.0×	90 0.6×	124 0.9×	125 1.0×	14	1.2k
Nicholas W. Hughes United States	7	1.5k 1.3×	205 1.2×	125 0.8×	208 1.6×	191 1.5×	10	1.6k
Rajula Elango United States	10	1.3k 1.2×	351 2.0×	127 0.9×	162 1.2×	178 1.4×	12	1.4k
Charles A.S. Banks United States	20	1.2k 1.1×	145 0.8×	126 0.8×	122 0.9×	107 0.8×	36	1.4k
Danilo Maddalo Germany	12	726 0.7×	191 1.1×	140 0.9×	165 1.2×	123 0.9×	25	968
Prabha Sarangi United States	14	1.1k 1.0×	291 1.6×	157 1.1×	199 1.5×	142 1.1×	15	1.2k
Toyoaki Natsume Japan	21	1.4k 1.3×	196 1.1×	339 2.3×	132 1.0×	77 0.6×	29	1.6k
Go Watanabe United States	15	965 0.9×	255 1.4×	63 0.4×	103 0.8×	109 0.8×	23	1.1k
Francesca Lorenzin Italy	9	976 0.9×	160 0.9×	46 0.3×	124 0.9×	109 0.8×	14	1.1k

Countries citing papers authored by Monika Mis

Since Specialization

Citations

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

Fields of papers citing papers by Monika Mis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Mis

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Mis. A scholar is included among the top collaborators of Monika Mis 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 Monika Mis. Monika Mis 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.

Ravichandran, Mirunalini, Julie Weng, Luca Gerosa, et al.. (2025). Abstract 6849: RIT1M90I is a driver of lung adenocarcinoma tumorigenesis and resistance to targeted therapy. Cancer Research. 85(8_Supplement_1). 6849–6849.

2.

Steinhart, Zachary, Stephen Orlicky, Monika Mis, et al.. (2022). SCF ^FBXW7 regulates G2‐M progression through control of CCNL1 ubiquitination. EMBO Reports. 23(12). e55044–e55044. 11 indexed citations

3.

Tao, Yuyong, Monika Mis, Levi L. Blazer, et al.. (2019). Tailored tetravalent antibodies potently and specifically activate Wnt/Frizzled pathways in cells, organoids and mice. eLife. 8. 67 indexed citations

4.

Mis, Monika, Zachary Steinhart, Sichun Lin, et al.. (2019). IPO11 mediates βcatenin nuclear import in a subset of colorectal cancers. The Journal of Cell Biology. 219(2). 30 indexed citations

5.

Coyaud, Étienne, Monika Mis, Estelle Laurent, et al.. (2015). BioID-based Identification of Skp Cullin F-box (SCF)β-TrCP1/2 E3 Ligase Substrates*. Molecular & Cellular Proteomics. 14(7). 1781–1795. 132 indexed citations

6.

Hart, Traver, Megha Chandrashekhar, Michael Aregger, et al.. (2015). High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities. Cell. 163(6). 1515–1526. 1000 indexed citations breakdown →

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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