Yaniv Harari

416 total citations
13 papers, 287 citations indexed

About

Yaniv Harari is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Yaniv Harari has authored 13 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Physiology and 8 papers in Aging. Recurrent topics in Yaniv Harari's work include Telomeres, Telomerase, and Senescence (10 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and Muscle Physiology and Disorders (4 papers). Yaniv Harari is often cited by papers focused on Telomeres, Telomerase, and Senescence (10 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and Muscle Physiology and Disorders (4 papers). Yaniv Harari collaborates with scholars based in Israel, United States and Sweden. Yaniv Harari's co-authors include Martin Kupiec, Yoav Ram, Nimrod Rappoport, Lilach Hadany, Lior Ungar, Amos Toren, Ariel Podhorzer, Dana Pe’er, Ron Shamir and Yael Silberberg and has published in prestigious journals such as Nucleic Acids Research, Current Biology and PLoS Genetics.

In The Last Decade

Yaniv Harari

13 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaniv Harari Israel	10	200	123	86	48	33	13	287
Martha L. Bulyk United States	9	284 1.4×	43 0.3×	38 0.4×	25 0.5×	75 2.3×	20	375
Christian Latza Germany	8	144 0.7×	66 0.5×	156 1.8×	15 0.3×	17 0.5×	12	302
James Matthew Ragle United States	10	189 0.9×	30 0.2×	182 2.1×	34 0.7×	39 1.2×	19	310
Elizabeth A. Malone United States	7	454 2.3×	58 0.5×	182 2.1×	55 1.1×	41 1.2×	7	589
Lyudmila I. Kutueva Russia	12	250 1.3×	44 0.4×	35 0.4×	242 5.0×	31 0.9×	16	449
Nancy Laterreur Canada	9	370 1.9×	271 2.2×	59 0.7×	47 1.0×	18 0.5×	11	416
Eric Gilson France	8	517 2.6×	306 2.5×	77 0.9×	199 4.1×	32 1.0×	8	603
Iskra Katic Switzerland	10	292 1.5×	42 0.3×	223 2.6×	31 0.6×	66 2.0×	12	393
Sara E. Beese‐Sims United States	6	273 1.4×	7 0.1×	116 1.3×	45 0.9×	31 0.9×	8	324
Suam Gonzalez United Kingdom	4	116 0.6×	17 0.1×	47 0.5×	15 0.3×	12 0.4×	4	160

Countries citing papers authored by Yaniv Harari

Since Specialization

Citations

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

Fields of papers citing papers by Yaniv Harari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaniv Harari

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

All Works

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13 of 13 papers shown

1.

Harari, Yaniv, et al.. (2019). Telomeres and stress in yeast cells: When genes and environment interact. Fungal Biology. 124(5). 311–315. 5 indexed citations

2.

Harari, Yaniv, Yoav Ram, Nimrod Rappoport, Lilach Hadany, & Martin Kupiec. (2018). Spontaneous Changes in Ploidy Are Common in Yeast. Current Biology. 28(6). 825–835.e4. 55 indexed citations

3.

Harari, Yaniv, Yoav Ram, & Martin Kupiec. (2018). Frequent ploidy changes in growing yeast cultures. Current Genetics. 64(5). 1001–1004. 27 indexed citations

4.

Harari, Yaniv & Martin Kupiec. (2017). Do long telomeres affect cellular fitness?. Current Genetics. 64(1). 173–176. 13 indexed citations

5.

Harari, Yaniv & Martin Kupiec. (2017). Mec1ATR is needed for extensive telomere elongation in response to ethanol in yeast. Current Genetics. 64(1). 223–234. 14 indexed citations

6.

Harari, Yaniv, et al.. (2017). Long Telomeres Do Not Affect Cellular Fitness in Yeast. mBio. 8(4). 14 indexed citations

7.

Harari, Yaniv, et al.. (2016). Role of the ESCRT Complexes in Telomere Biology. mBio. 7(6). 11 indexed citations

8.

Shkedy, Dganit, Nishant Singh, Tamar Geiger, et al.. (2015). Regulation of Elg1 activity by phosphorylation. Cell Cycle. 14(23). 3689–3697. 12 indexed citations

9.

Harari, Yaniv & Martin Kupiec. (2014). Genome-wide studies of telomere biology in budding yeast. Microbial Cell. 1(3). 70–80. 6 indexed citations

10.

Ungar, Lior, Yaniv Harari, Shay Ben‐Aroya, et al.. (2014). Telomere length kinetics assay (TELKA) sorts the telomere length maintenance (tlm) mutants into functional groups. Nucleic Acids Research. 42(10). 6314–6325. 13 indexed citations

11.

Harari, Yaniv, Ariel Podhorzer, Ron Shamir, et al.. (2013). Environmental Stresses Disrupt Telomere Length Homeostasis. PLoS Genetics. 9(9). e1003721–e1003721. 81 indexed citations

12.

Harari, Yaniv, et al.. (2011). An Anti-Checkpoint Activity for Rif1. PLoS Genetics. 7(12). e1002421–e1002421. 4 indexed citations

13.

Ungar, Lior, Yaniv Harari, Amos Toren, & Martin Kupiec. (2011). Tor Complex 1 Controls Telomere Length by Affecting the Level of Ku. Current Biology. 21(24). 2115–2120. 32 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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