Lior Lasman

2.3k total citations · 2 hit papers
6 papers, 1.1k citations indexed

About

Lior Lasman is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Lior Lasman has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Oncology and 1 paper in Immunology. Recurrent topics in Lior Lasman's work include RNA modifications and cancer (6 papers), Cancer-related gene regulation (4 papers) and Cancer-related molecular mechanisms research (1 paper). Lior Lasman is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related gene regulation (4 papers) and Cancer-related molecular mechanisms research (1 paper). Lior Lasman collaborates with scholars based in Israel, Austria and United States. Lior Lasman's co-authors include Jacob H. Hanna, Schraga Schwartz, Roni Winkler, Modi Safra, Jop H. van Berlo, Mario Medvedovic, Xianyao Xu, Lisa E. Dorn, Thomas J. Hund and Jing Chen and has published in prestigious journals such as Cell, Circulation and Nature Immunology.

In The Last Decade

Lior Lasman

5 papers receiving 1.1k 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.

Deciphering the “m6A Code” via Antibody-Independent Quantitative Profiling

2019 359 citations Miguel Angel García-Campos, Sarit Edelheit et al. Cell profile →
The N ⁶ -Methyladenosine mRNA Methylase METTL3 Controls Cardiac Homeostasis and Hypertrophy

2019 324 citations Lisa E. Dorn, Lior Lasman et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lior Lasman Israel	5	1.0k	483	190	78	76	6	1.1k
Yuxi Ai United States	6	1.0k 1.0×	536 1.1×	70 0.4×	38 0.5×	40 0.5×	6	1.1k
Karolina Maciag United States	7	1.1k 1.0×	477 1.0×	190 1.0×	39 0.5×	67 0.9×	10	1.1k
Fangfang Jiao China	7	872 0.8×	402 0.8×	131 0.7×	23 0.3×	60 0.8×	9	945
Laura Guerrero United States	5	1.0k 1.0×	491 1.0×	173 0.9×	40 0.5×	57 0.8×	5	1.1k
Meijie Qi China	8	1.3k 1.3×	699 1.4×	184 1.0×	48 0.6×	76 1.0×	10	1.4k
David Wiener Israel	3	814 0.8×	408 0.8×	73 0.4×	24 0.3×	40 0.5×	4	847
Wenyun Jia China	8	287 0.3×	140 0.3×	44 0.2×	27 0.3×	64 0.8×	9	341
Jinchang Pan China	11	588 0.6×	546 1.1×	14 0.1×	38 0.5×	36 0.5×	20	692
Chenglai Dong China	7	401 0.4×	260 0.5×	20 0.1×	20 0.3×	79 1.0×	10	482
Cassandra Schaening-Burgos United States	5	745 0.7×	316 0.7×	37 0.2×	17 0.2×	42 0.6×	9	766

Countries citing papers authored by Lior Lasman

Since Specialization

Citations

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

Fields of papers citing papers by Lior Lasman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lior Lasman

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

All Works

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6 of 6 papers shown

1.

Shachar, Ran, Ronit Nir, Miguel Angel García-Campos, et al.. (2024). Passive shaping of intra- and intercellular m6A dynamics via mRNA metabolism. eLife. 13.

2.

Grenov, Amalie, Hadas Hezroni, Lior Lasman, Jacob H. Hanna, & Ziv Shulman. (2022). YTHDF2 suppresses the plasmablast genetic program and promotes germinal center formation. Cell Reports. 39(5). 110778–110778. 36 indexed citations

3.

Lasman, Lior, Jacob H. Hanna, & Noa Novershtern. (2020). Role of m6A in Embryonic Stem Cell Differentiation and in Gametogenesis. Epigenomes. 4(1). 5–5. 21 indexed citations

4.

García-Campos, Miguel Angel, Sarit Edelheit, Ursula Toth, et al.. (2019). Deciphering the “m6A Code” via Antibody-Independent Quantitative Profiling. Cell. 178(3). 731–747.e16. 359 indexed citations breakdown →

5.

Dorn, Lisa E., Lior Lasman, Jing Chen, et al.. (2019). The N ⁶ -Methyladenosine mRNA Methylase METTL3 Controls Cardiac Homeostasis and Hypertrophy. Circulation. 139(4). 533–545. 324 indexed citations breakdown →

6.

Winkler, Roni, Lior Lasman, Modi Safra, et al.. (2018). m6A modification controls the innate immune response to infection by targeting type I interferons. Nature Immunology. 20(2). 173–182. 335 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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