Z. Yan Wang

1.9k total citations · 1 hit paper
9 papers, 544 citations indexed

About

Z. Yan Wang is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Z. Yan Wang has authored 9 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, Evolution, Behavior and Systematics, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Organic Chemistry. Recurrent topics in Z. Yan Wang's work include Cephalopods and Marine Biology (6 papers), Neurobiology and Insect Physiology Research (4 papers) and Chemical synthesis and alkaloids (3 papers). Z. Yan Wang is often cited by papers focused on Cephalopods and Marine Biology (6 papers), Neurobiology and Insect Physiology Research (4 papers) and Chemical synthesis and alkaloids (3 papers). Z. Yan Wang collaborates with scholars based in United States, Japan and Austria. Z. Yan Wang's co-authors include Clifton W. Ragsdale, Oleg Simakov, Caroline B. Albertin, Daniel S. Rokhsar, Therese Mitros, Judit R. Pungor, Eric Edsinger, Sydney Brenner, Gustavo Sánchez and Hannah Schmidbaur and has published in prestigious journals such as Nature, Nature Communications and Current Biology.

In The Last Decade

Z. Yan Wang

7 papers receiving 535 citations

Hit Papers

The octopus genome and the evolution of cephalopod neural... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Z. Yan Wang United States 6 278 183 180 88 88 9 544
Judit R. Pungor United States 5 241 0.9× 156 0.9× 161 0.9× 76 0.9× 81 0.9× 6 468
Laure Bonnaud France 17 436 1.6× 191 1.0× 256 1.4× 126 1.4× 93 1.1× 34 655
Caroline B. Albertin United States 13 480 1.7× 384 2.1× 257 1.4× 144 1.6× 113 1.3× 18 974
Julian Finn Australia 16 373 1.3× 109 0.6× 114 0.6× 161 1.8× 99 1.1× 24 581
Luis Alberto Bezares-Calderón Germany 10 99 0.4× 190 1.0× 250 1.4× 96 1.1× 52 0.6× 15 513
Giovanna Ponte Italy 14 682 2.5× 92 0.5× 307 1.7× 93 1.1× 68 0.8× 32 845
Ian G. Gleadall Japan 15 591 2.1× 79 0.4× 179 1.0× 238 2.7× 83 0.9× 30 681
Andy Sombke Germany 17 314 1.1× 102 0.6× 275 1.5× 159 1.8× 75 0.9× 45 773
Dennis Sprenger Germany 12 282 1.0× 104 0.6× 74 0.4× 154 1.8× 75 0.9× 17 542
Rudi Loesel Germany 17 420 1.5× 145 0.8× 559 3.1× 174 2.0× 41 0.5× 23 854

Countries citing papers authored by Z. Yan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Z. Yan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Z. Yan Wang. 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 Z. Yan Wang. The network helps show where Z. Yan Wang may publish in the future.

Co-authorship network of co-authors of Z. Yan Wang

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

All Works

9 of 9 papers shown
1.
Goodwin, Nastacia L. & Z. Yan Wang. (2025). Facing the heat: behavioral and molecular underpinnings of heat stress in bumblebees. Current Opinion in Behavioral Sciences. 66. 101595–101595.
2.
Wang, Z. Yan & Clifton W. Ragsdale. (2024). Signaling Ligand Heterogeneities in the Peduncle Complex of the Cephalopod Mollusc Octopus bimaculoides. Brain Behavior and Evolution. 99(3). 158–170.
3.
Wang, Z. Yan, Grace C. McKenzie‐Smith, Weijie Liu, et al.. (2022). Isolation disrupts social interactions and destabilizes brain development in bumblebees. Current Biology. 32(12). 2754–2764.e5. 18 indexed citations
4.
Albertin, Caroline B., Sofía Medina-Ruiz, Therese Mitros, et al.. (2022). Genome and transcriptome mechanisms driving cephalopod evolution. Nature Communications. 13(1). 2427–2427. 62 indexed citations
5.
Wang, Z. Yan, Melissa R. Pergande, Clifton W. Ragsdale, & Stephanie M. Cologna. (2022). Steroid hormones of the octopus self-destruct system. Current Biology. 32(11). 2572–2579.e4. 13 indexed citations
6.
Wang, Z. Yan & Clifton W. Ragsdale. (2018). Multiple optic gland signaling pathways implicated in octopus maternal behaviors and death. Journal of Experimental Biology. 221(Pt 19). 22 indexed citations
7.
Wang, Z. Yan & Clifton W. Ragsdale. (2017). Cadherin genes and evolutionary novelties in the octopus. Seminars in Cell and Developmental Biology. 69. 151–157. 20 indexed citations
8.
Albertin, Caroline B., Oleg Simakov, Therese Mitros, et al.. (2015). The octopus genome and the evolution of cephalopod neural and morphological novelties. Nature. 524(7564). 220–224. 404 indexed citations breakdown →
9.
Wang, Z. Yan, et al.. (2014). Pregnancy-induced changes in ultradian rhythms persist in circadian arrhythmic Siberian hamsters. Hormones and Behavior. 66(2). 228–237. 5 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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