M. Eric Schranz

11.9k total citations · 1 hit paper
148 papers, 6.1k citations indexed

About

M. Eric Schranz is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M. Eric Schranz has authored 148 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 85 papers in Plant Science and 42 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M. Eric Schranz's work include Genomics and Phylogenetic Studies (39 papers), Chromosomal and Genetic Variations (25 papers) and Plant Ecology and Taxonomy Studies (17 papers). M. Eric Schranz is often cited by papers focused on Genomics and Phylogenetic Studies (39 papers), Chromosomal and Genetic Variations (25 papers) and Plant Ecology and Taxonomy Studies (17 papers). M. Eric Schranz collaborates with scholars based in Netherlands, United States and Germany. M. Eric Schranz's co-authors include Thomas Mitchell‐Olds, Martin A. Lysák, T. C. Osborn, Patrick P. Edger, Tao Zhao, Setareh Mohammadin, J. Chris Pires, Lewis Lukens, Pablo Quijada and Timothy F. Sharbel and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

M. Eric Schranz

142 papers receiving 6.0k citations

Hit Papers

GENESPACE tracks regions of interest and gene copy number... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Eric Schranz Netherlands 43 3.8k 3.3k 1.4k 971 248 148 6.1k
Jonathan Wood United Kingdom 15 5.8k 1.5× 3.9k 1.2× 525 0.4× 1.3k 1.3× 282 1.1× 36 7.8k
Yu Song China 33 2.6k 0.7× 4.0k 1.2× 1.5k 1.1× 737 0.8× 335 1.4× 139 5.9k
Javier Terol Spain 23 3.1k 0.8× 3.0k 0.9× 427 0.3× 737 0.8× 516 2.1× 49 5.9k
Hui Guo China 27 4.3k 1.1× 4.0k 1.2× 393 0.3× 1.0k 1.0× 400 1.6× 80 7.0k
Xuewen Wang China 31 4.8k 1.2× 4.3k 1.3× 407 0.3× 844 0.9× 267 1.1× 105 7.2k
Levi Yant United Kingdom 35 2.9k 0.8× 2.9k 0.9× 423 0.3× 909 0.9× 124 0.5× 69 5.4k
Thomas Hartmann Germany 40 2.0k 0.5× 3.4k 1.1× 2.5k 1.8× 208 0.2× 184 0.7× 132 5.3k
Chang Liu China 35 1.9k 0.5× 5.6k 1.7× 1.5k 1.0× 1.1k 1.1× 626 2.5× 180 7.9k
Sacco C. de Vries Netherlands 61 9.7k 2.5× 8.2k 2.5× 626 0.4× 304 0.3× 176 0.7× 143 12.4k
Chuanyou Li China 57 9.0k 2.3× 5.1k 1.6× 844 0.6× 589 0.6× 134 0.5× 205 11.2k

Countries citing papers authored by M. Eric Schranz

Since Specialization
Citations

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

Fields of papers citing papers by M. Eric Schranz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Eric Schranz. 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 M. Eric Schranz. The network helps show where M. Eric Schranz may publish in the future.

Co-authorship network of co-authors of M. Eric Schranz

This figure shows the co-authorship network connecting the top 25 collaborators of M. Eric Schranz. A scholar is included among the top collaborators of M. Eric Schranz 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 M. Eric Schranz. M. Eric Schranz 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.
Singh, Kumar Saurabh, et al.. (2024). Pairing omics to decode the diversity of plant specialized metabolism. Current Opinion in Plant Biology. 82. 102657–102657. 5 indexed citations
3.
Breman, Floris C., et al.. (2024). Plastid-encoded RNA polymerase variation in Pelargonium sect Ciconium. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations
4.
Li, Jinchen, Jialin Li, Dan Chen, et al.. (2024). Genomic investigation of plant secondary metabolism: insights from synteny network analysis of oxidosqualene cyclase flanking genes. New Phytologist. 245(5). 2150–2169. 2 indexed citations
5.
Loosdrecht, Marieke S. van de, Frank Becker, Harro Maat, et al.. (2024). Maroon Rice Genomic Diversity Reflects 350 Years of Colonial History. Molecular Biology and Evolution. 41(10). 1 indexed citations
6.
Caarls, Lotte, Klaas Bouwmeester, Patrick Verbaarschot, et al.. (2023). A butterfly egg‐killing hypersensitive response in Brassica nigra is controlled by a single locus, PEK, containing a cluster of TIR‐NBS‐LRR receptor genes. Plant Cell & Environment. 47(4). 1009–1022. 3 indexed citations
7.
Vaz, Marcelo Gomes Marçal Vieira, Wagner L. Araújo, Agustín Zsögön, et al.. (2023). Exploring the diversity of sexual systems and pollination in Brazilian Cleomaceae species. Flora. 300. 152245–152245. 1 indexed citations
8.
Berke, Lidija, Richard W. Michelmore, Frank Becker, et al.. (2023). The genome of Lactuca saligna, a wild relative of lettuce, provides insight into non‐host resistance to the downy mildew Bremia lactucae. The Plant Journal. 115(1). 108–126. 7 indexed citations
9.
Hoang, Nam V., Dêêdi E. O. Sogbohossou, Pallavi Singh, et al.. (2023). The Gynandropsis gynandra genome provides insights into whole-genome duplications and the evolution of C4 photosynthesis in Cleomaceae. The Plant Cell. 35(5). 1334–1359. 21 indexed citations
10.
Velzen, Robin van & M. Eric Schranz. (2021). Origin and Evolution of the Cannabinoid Oxidocyclase Gene Family. Genome Biology and Evolution. 13(8). 24 indexed citations
11.
Simon, Sabrina, et al.. (2021). Genome and transcriptome analysis of the beet armyworm Spodoptera exigua reveals targets for pest control. G3 Genes Genomes Genetics. 11(11). 12 indexed citations
12.
Fernández‐Pozo, Noé, Lydia Gramzow, Zsuzsanna Mérai, et al.. (2021). Aethionema arabicum genome annotation using PacBio full‐length transcripts provides a valuable resource for seed dormancy and Brassicaceae evolution research. The Plant Journal. 106(1). 275–293. 19 indexed citations
13.
Hemerik, Lia, et al.. (2020). Capturing variation in floral shape: a virtual3D based morphospace for Pelargonium. PeerJ. 8. e8823–e8823. 5 indexed citations
14.
Zhao, Tao & M. Eric Schranz. (2019). Network-based microsynteny analysis identifies major differences and genomic outliers in mammalian and angiosperm genomes. Proceedings of the National Academy of Sciences. 116(6). 2165–2174. 74 indexed citations
15.
Liu, Zhenhua, Hernando G. Suárez Duran, Michael J. Stephenson, et al.. (2019). Drivers of metabolic diversification: how dynamic genomic neighbourhoods generate new biosynthetic pathways in the Brassicaceae. New Phytologist. 227(4). 1109–1123. 58 indexed citations
16.
Reeves, Gregory, et al.. (2018). Natural Variation within a Species for Traits Underpinning C 4 Photosynthesis. PLANT PHYSIOLOGY. 177(2). 504–512. 22 indexed citations
17.
Arisz, Steven A., Iko T. Koevoets, Tao Zhao, et al.. (2018). DIACYLGLYCEROL ACYLTRANSFERASE1 Contributes to Freezing Tolerance. PLANT PHYSIOLOGY. 177(4). 1410–1424. 79 indexed citations
18.
19.
Bergh, Erik van den, Andrea Bräutigam, Julian M. Hibberd, et al.. (2014). Gene and genome duplications and the origin of C4 photosynthesis: Birth of a trait in the Cleomaceae. Current Plant Biology. 1. 2–9. 34 indexed citations
20.
Schranz, M. Eric & Thomas Mitchell‐Olds. (2006). Independent Ancient Polyploidy Events in the Sister Families Brassicaceae and Cleomaceae. The Plant Cell. 18(5). 1152–1165. 139 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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