Matt Geisler

4.4k total citations
53 papers, 3.4k citations indexed

About

Matt Geisler is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Matt Geisler has authored 53 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Plant Science and 5 papers in Biomedical Engineering. Recurrent topics in Matt Geisler's work include Plant Molecular Biology Research (14 papers), Photosynthetic Processes and Mechanisms (9 papers) and Plant nutrient uptake and metabolism (8 papers). Matt Geisler is often cited by papers focused on Plant Molecular Biology Research (14 papers), Photosynthetic Processes and Mechanisms (9 papers) and Plant nutrient uptake and metabolism (8 papers). Matt Geisler collaborates with scholars based in United States, Sweden and Canada. Matt Geisler's co-authors include Fred D. Sack, Jeanette A. Nadeau, Leszek A. Kleczkowski, Jane Geisler-Lee, Henrik Johansson, Stanisław Karpiński, Kelly M. Williams, Paul B. Larsen, Carol Jones and Patricia S. Springer and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Plant Cell.

In The Last Decade

Matt Geisler

51 papers receiving 3.3k citations

Peers

Matt Geisler

EEBS

Pilar S. Testillano Spain

Hua Tian China

María Carmen Risueño Spain

Jasmina Kurepa United States

Jan Smalle United States

Mayuko Sato Japan

Francesca Sparla Italy

Alma Balestrazzi Italy

Yuchen Miao China

Verónica G. Maurino Germany

Pilar S. Testillano Spain

Matt Geisler

3.5k ×1.6

2.7k ×1.5

450 ×1.2

222 ×0.9

150 ×0.8

EEBS

Citations per year, relative to Matt Geisler Matt Geisler (= 1×) peers Pilar S. Testillano

Countries citing papers authored by Matt Geisler

Since Specialization

Citations

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

Fields of papers citing papers by Matt Geisler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Geisler

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lucas, Jessica R. & Matt Geisler. (2024). Plant Kinesin Repertoires Expand with New Domain Architecture and Contract with the Loss of Flagella. Journal of Molecular Evolution. 92(4). 381–401. 1 indexed citations

Donovan, Ariel R., et al.. (2019). Effects of environmentally relevant concentrations of mixtures of TiO2, ZnO and Ag ENPs on a river bacterial community. Chemosphere. 230. 567–577. 16 indexed citations

Fitzek, Elisabeth, Archi Joardar, Ramesh C. Gupta, & Matt Geisler. (2018). Evolution of Eukaryal and Archaeal Pseudouridine Synthase Pus10. Journal of Molecular Evolution. 86(1). 77–89. 20 indexed citations

Majumdar, Rajtilak, Kanniah Rajasekaran, Matthew D. Lebar, et al.. (2017). The Pathogenesis-Related Maize Seed (PRms) Gene Plays a Role in Resistance to Aspergillus flavus Infection and Aflatoxin Contamination. Frontiers in Plant Science. 8. 1758–1758. 22 indexed citations

Bhatnagar, Deepak, et al.. (2016). A Network Approach of Gene Co-expression in the Zea mays/Aspergillus flavus Pathosystem to Map Host/Pathogen Interaction Pathways. Frontiers in Genetics. 7. 206–206. 27 indexed citations

Schuette, Scott, et al.. (2015). Predicted protein-protein interactions in the moss Physcomitrella patens: a new bioinformatic resource. BMC Bioinformatics. 16(1). 89–89. 12 indexed citations

Bhatnagar, Deepak, et al.. (2015). A predicted protein interactome identifies conserved global networks and disease resistance subnetworks in maize. Frontiers in Genetics. 6. 201–201. 24 indexed citations

Molina, Jeanmaire, Khaled M. Hazzouri, Daniel L. Nickrent, et al.. (2014). Possible Loss of the Chloroplast Genome in the Parasitic Flowering Plant Rafflesia lagascae (Rafflesiaceae). Molecular Biology and Evolution. 31(4). 793–803. 160 indexed citations

Joardar, Archi, Elisabeth Fitzek, Priyatansh Gurha, et al.. (2013). Role of forefinger and thumb loops in production of Ψ54 and Ψ55 in tRNAs by archaeal Pus10. RNA. 19(9). 1279–1294. 15 indexed citations

10.

Geisler, Matt, et al.. (2012). Upregulation of photosynthesis genes, and downregulation of stress defense genes, is the response of Arabidopsis thaliana shoots to intraspecific competition.. Botanical studies. 53(1). 85–96. 19 indexed citations

11.

Ho, Chai‐Ling, Yingzhou Wu, Hong‐Bin Shen, Nicholas J. Provart, & Matt Geisler. (2012). A predicted protein interactome for rice. Rice. 5(1). 15–15. 39 indexed citations

12.

Fitzek, Elisabeth & Matt Geisler. (2011). A Predicted Interactome for Coffee (Coffea canephora var robusta). PUB – Publications at Bielefeld University (Bielefeld University). 4 indexed citations

13.

Meng, Meng, Matt Geisler, Henrik Johansson, et al.. (2009). UDP-Glucose Pyrophosphorylase is not Rate Limiting, but is Essential in Arabidopsis. Plant and Cell Physiology. 50(5). 998–1011. 88 indexed citations

14.

Lichtenberg, Jens, Alper Yılmaz, Joshua D. Welch, et al.. (2009). The word landscape of the non-coding segments of the Arabidopsis thaliana genome. BMC Genomics. 10(1). 463–463. 25 indexed citations

15.

Schuette, Scott, Andrew J. Wood, Matt Geisler, et al.. (2009). Novel localization of callose in the spores of Physcomitrella patens and phylogenomics of the callose synthase gene family. Annals of Botany. 103(5). 749–756. 50 indexed citations

16.

Bechtold, Ulrike, Odile Richard, Matt Geisler, et al.. (2008). Impact of chloroplastic- and extracellular-sourced ROS on high light-responsive gene expression in Arabidopsis. Journal of Experimental Botany. 59(2). 121–133. 92 indexed citations

17.

Geisler-Lee, Jane, Nicholas O’Toole, Ron Ammar, et al.. (2007). A Predicted Interactome for Arabidopsis. PLANT PHYSIOLOGY. 145(2). 317–329. 243 indexed citations

18.

Lai, Lien B., Jeanette A. Nadeau, Jessica R. Lucas, et al.. (2005). The Arabidopsis R2R3 MYB Proteins FOUR LIPS and MYB88 Restrict Divisions Late in the Stomatal Cell Lineage. The Plant Cell. 17(10). 2754–2767. 192 indexed citations

19.

Larsen, Paul B., et al.. (2004). ALS3 encodes a phloem‐localized ABC transporter‐like protein that is required for aluminum tolerance in Arabidopsis. The Plant Journal. 41(3). 353–363. 275 indexed citations

20.

Geisler, Matt & Fred D. Sack. (2002). Variable timing of developmental progression in the stomatal pathway in Arabidopsis cotyledons. New Phytologist. 153(3). 469–476. 61 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