Zachary B. Lippman

16.3k total citations · 7 hit papers
56 papers, 10.4k citations indexed

About

Zachary B. Lippman is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Zachary B. Lippman has authored 56 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Plant Science, 41 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Zachary B. Lippman's work include Plant Molecular Biology Research (35 papers), Plant Reproductive Biology (25 papers) and Chromosomal and Genetic Variations (14 papers). Zachary B. Lippman is often cited by papers focused on Plant Molecular Biology Research (35 papers), Plant Reproductive Biology (25 papers) and Chromosomal and Genetic Variations (14 papers). Zachary B. Lippman collaborates with scholars based in United States, Israel and South Korea. Zachary B. Lippman's co-authors include Dani Zamir, Rob Martienssen, Joyce Van Eck, Vincent Colot, Anne-Valérie Gendrel, Robert A. Martienssen, Zachary H. Lemmon, Daniel Rodríguez-Leal, Soon Ju Park and Yuval Eshed and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Zachary B. Lippman

51 papers receiving 10.2k citations

Hit Papers

Role of transposable elements in heterochromatin and epig... 2004 2026 2011 2018 2004 2017 2004 2014 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zachary B. Lippman United States 38 8.4k 7.1k 2.0k 384 360 56 10.4k
Ryohei Terauchi Japan 58 10.9k 1.3× 5.3k 0.8× 2.3k 1.2× 402 1.0× 539 1.5× 193 12.9k
Abdelhafid Bendahmane France 52 8.5k 1.0× 4.6k 0.7× 1.3k 0.6× 527 1.4× 698 1.9× 146 9.7k
Zuhua He China 53 9.2k 1.1× 4.1k 0.6× 1.2k 0.6× 593 1.5× 389 1.1× 116 10.4k
Nathan M. Springer United States 57 9.2k 1.1× 5.7k 0.8× 3.2k 1.6× 135 0.4× 294 0.8× 152 10.9k
Hui Guo China 27 4.3k 0.5× 4.0k 0.6× 1.0k 0.5× 278 0.7× 393 1.1× 80 7.0k
Ray Ming United States 48 7.0k 0.8× 4.9k 0.7× 2.6k 1.3× 312 0.8× 1.2k 3.3× 230 9.9k
Qi Xie China 65 14.1k 1.7× 9.3k 1.3× 756 0.4× 667 1.7× 544 1.5× 189 16.6k
Nevin D. Young United States 58 11.1k 1.3× 3.8k 0.5× 2.0k 1.0× 298 0.8× 584 1.6× 130 12.6k
Takuji Sasaki Japan 48 10.8k 1.3× 4.8k 0.7× 5.1k 2.6× 385 1.0× 279 0.8× 164 12.4k
Korbinian Schneeberger Germany 47 6.1k 0.7× 5.1k 0.7× 1.9k 0.9× 136 0.4× 532 1.5× 93 8.3k

Countries citing papers authored by Zachary B. Lippman

Since Specialization
Citations

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

Fields of papers citing papers by Zachary B. Lippman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zachary B. Lippman. 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 Zachary B. Lippman. The network helps show where Zachary B. Lippman may publish in the future.

Co-authorship network of co-authors of Zachary B. Lippman

This figure shows the co-authorship network connecting the top 25 collaborators of Zachary B. Lippman. A scholar is included among the top collaborators of Zachary B. Lippman 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 Zachary B. Lippman. Zachary B. Lippman 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
2.
Zebell, Sophia G., Carlos Martí‐Gómez, B. P. Fitzgerald, et al.. (2025). Cryptic variation fuels plant phenotypic change through hierarchical epistasis. Nature. 644(8078). 984–992. 1 indexed citations
3.
Lanctot, Amy, et al.. (2025). Antagonizing cis- regulatory elements of a conserved flowering gene mediate developmental robustness. Proceedings of the National Academy of Sciences. 122(8). e2421990122–e2421990122. 5 indexed citations
4.
Fitzgerald, B. P., Gina M. Robitaille, Srividya Ramakrishnan, et al.. (2025). Engineering compact Physalis peruviana (goldenberry) to promote its potential as a global crop. Plants People Planet.
5.
He, Jia, Joyce Van Eck, & Zachary B. Lippman. (2024). Blooming balloons: Searching for mechanisms of the inflated calyx. Current Opinion in Plant Biology. 81. 102595–102595.
6.
Lippman, Zachary B., et al.. (2024). Engineering the future of Physalis grisea: A focus on agricultural challenges, model species status, and applied improvements. Plants People Planet. 6(6). 1249–1260. 3 indexed citations
7.
Hendelman, Anat, et al.. (2023). Idiosyncratic and dose-dependent epistasis drives variation in tomato fruit size. Science. 382(6668). 315–320. 27 indexed citations
8.
Kwon, Choon‐Tak, Lingli Tang, Xingang Wang, et al.. (2022). Dynamic evolution of small signalling peptide compensation in plant stem cell control. Nature Plants. 8(4). 346–355. 39 indexed citations
9.
He, Jia, Michael Alonge, Srividya Ramakrishnan, et al.. (2022). Establishing Physalis as a Solanaceae model system enables genetic reevaluation of the inflated calyx syndrome. The Plant Cell. 35(1). 351–368. 17 indexed citations
10.
Hendelman, Anat, Sophia G. Zebell, Daniel Rodríguez-Leal, et al.. (2021). Conserved pleiotropy of an ancient plant homeobox gene uncovered by cis-regulatory dissection. Cell. 184(7). 1724–1739.e16. 145 indexed citations
11.
Wang, Xingang, et al.. (2021). Dissecting cis-regulatory control of quantitative trait variation in a plant stem cell circuit. Nature Plants. 7(4). 419–427. 94 indexed citations
12.
Ranallo-Benavidez, T. Rhyker, Zachary H. Lemmon, Sebastian Soyk, et al.. (2021). Optimized sample selection for cost-efficient long-read population sequencing. Genome Research. 31(5). 910–918. 7 indexed citations
13.
Rodríguez-Leal, Daniel, Xu Cao, Choon‐Tak Kwon, et al.. (2019). Evolution of buffering in a genetic circuit controlling plant stem cell proliferation. Nature Genetics. 51(5). 786–792. 135 indexed citations
14.
Rodríguez-Leal, Daniel, Zachary H. Lemmon, Jarrett Man, Madelaine Bartlett, & Zachary B. Lippman. (2017). Engineering Quantitative Trait Variation for Crop Improvement by Genome Editing. Cell. 171(2). 470–480.e8. 767 indexed citations breakdown →
15.
Brooks, Christopher D., Vladimir Nekrasov, Zachary B. Lippman, & Joyce Van Eck. (2014). Efficient Gene Editing in Tomato in the First Generation Using the Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-Associated9 System. PLANT PHYSIOLOGY. 166(3). 1292–1297. 540 indexed citations breakdown →
16.
Lippman, Zachary B., et al.. (2010). The flowering gene SINGLE FLOWER TRUSS drives heterosis for yield in tomato. Nature Genetics. 42(5). 459–463. 399 indexed citations
17.
Lippman, Zachary B., Oded Cohen, John Paul Alvarez, et al.. (2008). The Making of a Compound Inflorescence in Tomato and Related Nightshades. PLoS Biology. 6(11). e288–e288. 192 indexed citations
18.
Semel, Yaniv, J. Nissenbaum, Naama Menda, et al.. (2006). Overdominant quantitative trait loci for yield and fitness in tomato. Proceedings of the National Academy of Sciences. 103(35). 12981–12986. 216 indexed citations
19.
Gendrel, Anne-Valérie, et al.. (2002). Dependence of Heterochromatic Histone H3 Methylation Patterns on the Arabidopsis Gene DDM1. Science. 297(5588). 1871–1873. 356 indexed citations
20.
Knaap, Esther van der, Zachary B. Lippman, & S. D. Tanksley. (2002). Extremely elongated tomato fruit controlled by four quantitative trait loci with epistatic interactions. Theoretical and Applied Genetics. 104(2). 241–247. 53 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026