Zeba Wunderlich

2.4k total citations
37 papers, 1.5k citations indexed

About

Zeba Wunderlich is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Zeba Wunderlich has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Immunology. Recurrent topics in Zeba Wunderlich's work include Genomics and Chromatin Dynamics (18 papers), Developmental Biology and Gene Regulation (12 papers) and RNA Research and Splicing (10 papers). Zeba Wunderlich is often cited by papers focused on Genomics and Chromatin Dynamics (18 papers), Developmental Biology and Gene Regulation (12 papers) and RNA Research and Splicing (10 papers). Zeba Wunderlich collaborates with scholars based in United States, Russia and Sweden. Zeba Wunderlich's co-authors include Leonid A. Mirny, Angela H. DePace, Andrej Košmrlj, Jason S. Leith, Michael Slutsky, Anahita Tafvizi, Meghan D. J. Bragdon, Rachel Waymack, Evgeny Z. Kvon and Mikhail S. Gelfand and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Zeba Wunderlich

35 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeba Wunderlich United States 18 1.4k 312 140 70 70 37 1.5k
Miri Carmi Israel 14 1.4k 1.0× 314 1.0× 137 1.0× 32 0.5× 30 0.4× 21 1.5k
Nacho Molina Switzerland 18 1.4k 1.0× 297 1.0× 165 1.2× 39 0.6× 56 0.8× 30 1.8k
Gregor Neuert United States 16 1.3k 1.0× 232 0.7× 94 0.7× 49 0.7× 30 0.4× 26 1.8k
Juan F. Poyatos Spain 13 575 0.4× 218 0.7× 73 0.5× 61 0.9× 62 0.9× 35 739
Yihan Lin China 13 726 0.5× 208 0.7× 76 0.5× 33 0.5× 40 0.6× 36 975
Juan Manuel Pedraza United States 10 1.3k 0.9× 544 1.7× 93 0.7× 108 1.5× 60 0.9× 23 1.5k
Anne‐Ruxandra Carvunis United States 17 1.6k 1.1× 344 1.1× 254 1.8× 27 0.4× 122 1.7× 35 1.9k
Lacramioara Bintu United States 15 2.1k 1.5× 487 1.6× 153 1.1× 16 0.2× 68 1.0× 29 2.3k
Jacques Ninio France 23 1.7k 1.3× 543 1.7× 103 0.7× 64 0.9× 132 1.9× 81 2.2k
Narendra Maheshri United States 13 1.9k 1.4× 968 3.1× 98 0.7× 93 1.3× 59 0.8× 16 2.2k

Countries citing papers authored by Zeba Wunderlich

Since Specialization
Citations

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

Fields of papers citing papers by Zeba Wunderlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeba Wunderlich

This figure shows the co-authorship network connecting the top 25 collaborators of Zeba Wunderlich. A scholar is included among the top collaborators of Zeba Wunderlich 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 Zeba Wunderlich. Zeba Wunderlich 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.
Wunderlich, Zeba, et al.. (2023). Drosophila immune priming to Enterococcus faecalis relies on immune tolerance rather than resistance. PLoS Pathogens. 19(8). e1011567–e1011567. 13 indexed citations
2.
3.
Kvon, Evgeny Z., et al.. (2021). Author Correction: Enhancer redundancy in development and disease. Nature Reviews Genetics. 22(5). 337–337. 2 indexed citations
4.
Wunderlich, Zeba, et al.. (2021). The mode of expression divergence in Drosophila fat body is infection-specific. Genome Research. 31(6). 1024–1034. 7 indexed citations
5.
Kvon, Evgeny Z., et al.. (2021). Enhancer redundancy in development and disease. Nature Reviews Genetics. 22(5). 324–336. 121 indexed citations
6.
Waymack, Rachel, et al.. (2021). Molecular competition can shape enhancer activity in the Drosophila embryo. iScience. 24(9). 103034–103034. 5 indexed citations
7.
Vincent, Ben J., Edward C.G. Pym, Meghan D. J. Bragdon, et al.. (2020). A Mutation in the Drosophila melanogaster eve Stripe 2 Minimal Enhancer Is Buffered by Flanking Sequences. G3 Genes Genomes Genetics. 10(12). 4473–4482. 11 indexed citations
8.
Waymack, Rachel, et al.. (2020). Shadow enhancers can suppress input transcription factor noise through distinct regulatory logic. eLife. 9. 28 indexed citations
9.
Wunderlich, Zeba, et al.. (2019). Quantitative Comparison of the Anterior-Posterior Patterning System in the Embryos of Five Drosophila Species. G3 Genes Genomes Genetics. 9(7). 2171–2182. 4 indexed citations
10.
Park, Jeehae, Javier Estrada, Gemma Johnson, et al.. (2019). Dissecting the sharp response of a canonical developmental enhancer reveals multiple sources of cooperativity. eLife. 8. 42 indexed citations
11.
Samee, Md. Abul Hassan, Kelly M. Biette, Ben J. Vincent, et al.. (2017). Quantitative Measurement and Thermodynamic Modeling of Fused Enhancers Support a Two-Tiered Mechanism for Interpreting Regulatory DNA. Cell Reports. 21(1). 236–245. 10 indexed citations
12.
Staller, Max V., Charless C. Fowlkes, Meghan D. J. Bragdon, et al.. (2015). A gene expression atlas of a bicoid -depleted Drosophila embryo reveals early canalization of cell fate. Development. 142(3). 587–596. 21 indexed citations
13.
Staller, Max V., Ben J. Vincent, Meghan D. J. Bragdon, et al.. (2015). Shadow enhancers enable Hunchback bifunctionality in the Drosophila embryo. Proceedings of the National Academy of Sciences. 112(3). 785–790. 33 indexed citations
14.
Vincent, Ben J., Clarissa Scholes, Max V. Staller, et al.. (2015). Yearly Planning Meetings: Individualized Development Plans Aren’t Just More Paperwork. Molecular Cell. 58(5). 718–721. 14 indexed citations
15.
Wunderlich, Zeba, et al.. (2012). Dissecting sources of quantitative gene expression pattern divergence between Drosophila species. Molecular Systems Biology. 8(1). 604–604. 21 indexed citations
16.
Fowlkes, Charless C., Meghan D. J. Bragdon, Miriah Meyer, et al.. (2011). A Conserved Developmental Patterning Network Produces Quantitatively Different Output in Multiple Species of Drosophila. PLoS Genetics. 7(10). e1002346–e1002346. 40 indexed citations
17.
Wunderlich, Zeba & Leonid A. Mirny. (2009). Using genome-wide measurements for computational prediction of SH2–peptide interactions. Nucleic Acids Research. 37(14). 4629–4641. 14 indexed citations
18.
Wunderlich, Zeba & Leonid A. Mirny. (2009). Different gene regulation strategies revealed by analysis of binding motifs. Trends in Genetics. 25(10). 434–440. 209 indexed citations
19.
Kolesov, Grigory, Zeba Wunderlich, Olga N. Laikova, Mikhail S. Gelfand, & Leonid A. Mirny. (2007). How gene order is influenced by the biophysics of transcription regulation. Proceedings of the National Academy of Sciences. 104(35). 13948–13953. 147 indexed citations
20.
Wunderlich, Zeba & Leonid A. Mirny. (2006). Using the Topology of Metabolic Networks to Predict Viability of Mutant Strains. Biophysical Journal. 91(6). 2304–2311. 51 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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