Yael Lavi

38 total papers · 792 total citations
15 papers, 484 citations indexed

About

Yael Lavi is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Cell Biology. According to data from OpenAlex, Yael Lavi has authored 15 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Yael Lavi's work include Advanced Battery Materials and Technologies (7 papers), Advancements in Battery Materials (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Yael Lavi is often cited by papers focused on Advanced Battery Materials and Technologies (7 papers), Advancements in Battery Materials (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Yael Lavi collaborates with scholars based in Israel and United States. Yael Lavi's co-authors include E. Peled, Y. Sternberg, Jinxin Lang, Diana Golodnitsky, Levi A. Gheber, E. Strauss, Michael Edidin, Nir S. Gov, G. Ardel and Ruthy Shaco‐Levy and has published in prestigious journals such as PLoS ONE, Journal of The Electrochemical Society and Journal of Power Sources.

In The Last Decade

Yael Lavi

14 papers receiving 474 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yael Lavi	360	135	59	58	50	15	484
Hongxu Dong	237 0.7×	104 0.8×	42 0.7×	68 1.2×	63 1.3×	15	449
Shiyou Li	335 0.9×	175 1.3×	59 1.0×	103 1.8×	59 1.2×	28	543
Hae In Lee	277 0.8×	45 0.3×	52 0.9×	60 1.0×	104 2.1×	28	425
Feng Wang	209 0.6×	60 0.4×	40 0.7×	128 2.2×	66 1.3×	20	504
Steven T. King	387 1.1×	205 1.5×	54 0.9×	25 0.4×	63 1.3×	25	538
Haoyu Xue	332 0.9×	102 0.8×	42 0.7×	31 0.5×	52 1.0×	22	449
Yanyu Qu	419 1.2×	187 1.4×	23 0.4×	38 0.7×	30 0.6×	13	519
João P. Serra	132 0.4×	64 0.5×	108 1.8×	145 2.5×	39 0.8×	33	492
Kuan-Ting Liu	262 0.7×	47 0.3×	35 0.6×	87 1.5×	168 3.4×	23	507
Qidi Ran	198 0.6×	32 0.2×	90 1.5×	46 0.8×	112 2.2×	12	439

Countries citing papers authored by Yael Lavi

Since Specialization

Citations

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

Fields of papers citing papers by Yael Lavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yael Lavi

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

All Works

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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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