Yossi Yovel

6.0k total citations · 1 hit paper
122 papers, 3.5k citations indexed

About

Yossi Yovel is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Developmental Biology. According to data from OpenAlex, Yossi Yovel has authored 122 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Ecology, Evolution, Behavior and Systematics, 67 papers in Ecology and 58 papers in Developmental Biology. Recurrent topics in Yossi Yovel's work include Bat Biology and Ecology Studies (84 papers), Marine animal studies overview (64 papers) and Animal Vocal Communication and Behavior (58 papers). Yossi Yovel is often cited by papers focused on Bat Biology and Ecology Studies (84 papers), Marine animal studies overview (64 papers) and Animal Vocal Communication and Behavior (58 papers). Yossi Yovel collaborates with scholars based in Israel, United States and Germany. Yossi Yovel's co-authors include Yaniv Assaf, Peter J. Basser, Tamar Blumenfeld‐Katzir, Arjan Boonman, Nachum Ulanovsky, Yosef Prat, Eran Amichai, Maya Geva‐Sagiv, Hans‐Ulrich Schnitzler and Matthias Franz and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yossi Yovel

117 papers receiving 3.4k citations

Hit Papers

Axcaliber: A method for measuring axon diameter distribut... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yossi Yovel Israel 32 1.8k 1.3k 1.1k 703 553 122 3.5k
Giacomo Dell’Omo Italy 42 1.6k 0.9× 2.5k 1.8× 319 0.3× 157 0.2× 591 1.1× 194 6.0k
Graham R. Martin United Kingdom 41 2.1k 1.2× 2.5k 1.9× 398 0.4× 35 0.0× 564 1.0× 151 4.6k
Hermann Wagner Germany 43 747 0.4× 675 0.5× 781 0.7× 91 0.1× 3.0k 5.4× 192 6.4k
Charles Oxnard Australia 36 509 0.3× 620 0.5× 324 0.3× 247 0.4× 269 0.5× 145 4.2k
Tyson L. Hedrick United States 37 1.5k 0.9× 1.2k 0.9× 177 0.2× 27 0.0× 163 0.3× 109 5.4k
Gang Song China 34 537 0.3× 642 0.5× 62 0.1× 2.2k 3.1× 1.9k 3.4× 223 7.5k
J.L. van Leeuwen Netherlands 38 545 0.3× 865 0.6× 121 0.1× 46 0.1× 210 0.4× 156 4.8k
Paul R. Manger South Africa 44 1.0k 0.6× 888 0.7× 297 0.3× 357 0.5× 3.0k 5.3× 258 8.0k
Rickye S. Heffner United States 37 1.3k 0.8× 1.3k 1.0× 1.6k 1.5× 79 0.1× 1.8k 3.2× 105 4.5k
Henry E. Heffner United States 40 1.5k 0.9× 1.6k 1.2× 1.9k 1.8× 38 0.1× 2.0k 3.7× 121 5.2k

Countries citing papers authored by Yossi Yovel

Since Specialization
Citations

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

Fields of papers citing papers by Yossi Yovel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yossi Yovel

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

All Works

20 of 20 papers shown
1.
Friedman, Sivan, Aleksandra A. Kolodziejczyk, Kyung‐Mee Moon, et al.. (2025). Single-cell and Spatial Transcriptomics Illuminate Bat Immunity and Barrier Tissue Evolution. Molecular Biology and Evolution. 42(2). 5 indexed citations
2.
Boonman, Arjan, et al.. (2024). Using acoustic cameras to study vocal mobbing reveals the importance of learning in juvenile Arabian babblers. SHILAP Revista de lepidopterología. 3.
3.
Faskowitz, Joshua, et al.. (2024). Relation of connectome topology to brain volume across 103 mammalian species. PLoS Biology. 22(2). e3002489–e3002489. 3 indexed citations
4.
Koblitz, Jens C., et al.. (2024). A social foraging trade-off in echolocating bats reveals that they benefit from some conspecifics but are impaired when many are around. Proceedings of the National Academy of Sciences. 121(30). e2321724121–e2321724121. 6 indexed citations
5.
Shahar, Nitzan, et al.. (2023). Fruit bats adjust their decision-making process according to environmental dynamics. BMC Biology. 21(1). 278–278.
6.
Yovel, Yossi, et al.. (2023). Bat vocal sequences enhance contextual information independently of syllable order. iScience. 26(4). 106466–106466. 3 indexed citations
7.
Yovel, Yossi, et al.. (2023). BATScan: A radar classification tool reveals large‐scale bat migration patterns. Methods in Ecology and Evolution. 14(7). 1764–1779. 12 indexed citations
8.
Yovel, Yossi, et al.. (2022). Re-examining extreme sleep duration in bats: implications for sleep phylogeny, ecology, and function. SLEEP. 45(8). 12 indexed citations
9.
Zilkha, Noga, et al.. (2022). Alone, in the dark: The extraordinary neuroethology of the solitary blind mole rat. eLife. 11. 6 indexed citations
10.
Luo, Jinhong, et al.. (2021). Flight rapidly modulates body temperature in freely behaving bats. Animal Biotelemetry. 9(1). 9 indexed citations
11.
Khait, Itzhak, et al.. (2020). Increased sugar concentration in response to a wide range of pollinator sounds can be adaptive for the plant: answer to Raguso et al. Ecology Letters. 23(10). 1553–1554. 1 indexed citations
12.
Goldshtein, Aya, et al.. (2020). Plants’ ability to sense and respond to airborne sound is likely to be adaptive: reply to comment by Pyke et al. Ecology Letters. 23(9). 1423–1425. 1 indexed citations
13.
Yovel, Yossi, et al.. (2020). Segregating signal from noise through movement in echolocating bats. Scientific Reports. 10(1). 382–382. 18 indexed citations
14.
Khait, Itzhak, Uri Obolski, Arjan Boonman, et al.. (2019). Flowers respond to pollinator sound within minutes by increasing nectar sugar concentration. Ecology Letters. 22(9). 1483–1492. 76 indexed citations
15.
Khait, Itzhak, Uri Obolski, Yossi Yovel, & Lilach Hadany. (2019). Sound perception in plants. Seminars in Cell and Developmental Biology. 92. 134–138. 26 indexed citations
16.
Kolodny, Oren, Leah Reshef, Lee Harten, et al.. (2018). Coordinated change at the colony level in fruit bat fur microbiomes through time. Nature Ecology & Evolution. 3(1). 116–124. 44 indexed citations
17.
Yovel, Yossi, et al.. (2018). Neuroethology of bat navigation. Current Biology. 28(17). R997–R1004. 24 indexed citations
18.
Levin, Eran, Edward Hurme, Ivailo Borissov, et al.. (2015). Bats Aggregate to Improve Prey Search but Might Be Impaired when Their Density Becomes Too High. Current Biology. 25(2). 206–211. 137 indexed citations
19.
Greif, Stefan, Ivailo Borissov, Yossi Yovel, & Richard A. Holland. (2014). A functional role of the sky’s polarization pattern for orientation in the greater mouse-eared bat. Nature Communications. 5(1). 4488–4488. 51 indexed citations
20.
Melcón, Mariana L., Yossi Yovel, Annette Denzinger, & Hans‐Ulrich Schnitzler. (2010). How greater mouse-eared bats deal with ambiguous echoic scenes. Journal of Comparative Physiology A. 197(5). 505–514. 12 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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