Oliver J. Furzer

2.9k total citations · 2 hit papers
16 papers, 1.2k citations indexed

About

Oliver J. Furzer is a scholar working on Plant Science, Cell Biology and Biotechnology. According to data from OpenAlex, Oliver J. Furzer has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 3 papers in Cell Biology and 2 papers in Biotechnology. Recurrent topics in Oliver J. Furzer's work include Plant-Microbe Interactions and Immunity (14 papers), Plant Virus Research Studies (6 papers) and Plant Parasitism and Resistance (6 papers). Oliver J. Furzer is often cited by papers focused on Plant-Microbe Interactions and Immunity (14 papers), Plant Virus Research Studies (6 papers) and Plant Parasitism and Resistance (6 papers). Oliver J. Furzer collaborates with scholars based in United Kingdom, United States and Germany. Oliver J. Furzer's co-authors include Jeffery L. Dangl, Jonathan D. G. Jones, Farid El Kasmi, Volkan Çevik, Svenja C. Saile, Panagiotis F. Sarris, Yan Ma, Marc T. Nishimura, Felix Bemm and Li Wan and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Oliver J. Furzer

16 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Plant “helper” immune receptors are Ca ²⁺ -permeable nonselective cation channels

2021 258 citations Pierre Jacob, Nak Hyun Kim et al. Science profile →
A Species-Wide Inventory of NLR Genes and Alleles in Arabidopsis thaliana

2019 240 citations Anna-Lena Van de Weyer, Freddy Monteiro et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver J. Furzer United Kingdom	13	1.1k	237	103	89	62	16	1.2k
Lida Derevnina United Kingdom	17	1.2k 1.1×	281 1.2×	100 1.0×	148 1.7×	46 0.7×	29	1.3k
Jiorgos Kourelis United Kingdom	18	1.3k 1.1×	439 1.9×	181 1.8×	97 1.1×	62 1.0×	35	1.5k
Eui‐Hwan Chung United States	17	1.1k 1.0×	339 1.4×	95 0.9×	56 0.6×	34 0.5×	27	1.3k
Yiping Wang China	14	1.2k 1.1×	451 1.9×	66 0.6×	102 1.1×	45 0.7×	33	1.3k
Saijun Tang China	12	1.1k 1.0×	407 1.7×	71 0.7×	75 0.8×	39 0.6×	13	1.2k
Thomas W. H. Liebrand Netherlands	14	1.5k 1.3×	291 1.2×	54 0.5×	185 2.1×	95 1.5×	14	1.6k
Juan Carlos De la Concepción United Kingdom	18	975 0.9×	349 1.5×	73 0.7×	186 2.1×	51 0.8×	26	1.2k
Catherine Golstein United Kingdom	8	1.7k 1.6×	409 1.7×	85 0.8×	162 1.8×	61 1.0×	11	1.9k
Guozhi Bi China	15	2.1k 1.9×	659 2.8×	104 1.0×	152 1.7×	56 0.9×	24	2.3k
Dmitry Lapin Germany	15	1.2k 1.1×	297 1.3×	120 1.2×	88 1.0×	38 0.6×	23	1.3k

Countries citing papers authored by Oliver J. Furzer

Since Specialization

Citations

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

Fields of papers citing papers by Oliver J. Furzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oliver J. Furzer. 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 Oliver J. Furzer. The network helps show where Oliver J. Furzer may publish in the future.

Co-authorship network of co-authors of Oliver J. Furzer

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

All Works

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16 of 16 papers shown

Furzer, Oliver J., et al.. (2024). Paired plant immune CHS3-CSA1 receptor alleles form distinct hetero-oligomeric complexes. Science. 383(6684). eadk3468–eadk3468. 12 indexed citations

Kim, Dae Sung, Heekyung Ahn, Alison Woods‐Tör, et al.. (2024). ATR2^C^ala2 from Arabidopsis‐infecting downy mildew requires 4 TIR‐NLR immune receptors for full recognition. New Phytologist. 243(1). 330–344. 1 indexed citations

Redkar, Amey, Volkan Çevik, Kate Bailey, et al.. (2022). The Arabidopsis WRR4A and WRR4B paralogous NLR proteins both confer recognition of multiple Albugo candida effectors. New Phytologist. 237(2). 532–547. 15 indexed citations

Yang, Yu, Nak Hyun Kim, Volkan Çevik, et al.. (2022). Allelic variation in the Arabidopsis TNL CHS3/CSA1 immune receptor pair reveals two functional cell-death regulatory modes. Cell Host & Microbe. 30(12). 1701–1716.e5. 26 indexed citations

Jacob, Pierre, Nak Hyun Kim, Fei-Hua Wu, et al.. (2021). Plant “helper” immune receptors are Ca ²⁺ -permeable nonselective cation channels. Science. 373(6553). 420–425. 258 indexed citations breakdown →

Castel, Baptiste, Oliver J. Furzer, Amey Redkar, et al.. (2021). Evolutionary trade‐offs at the Arabidopsis WRR4A resistance locus underpin alternate Albugo candida race recognition specificities. The Plant Journal. 107(5). 1490–1502. 6 indexed citations

Ding, Pingtao, Bruno Pok Man Ngou, Oliver J. Furzer, et al.. (2020). High‐resolution expression profiling of selected gene sets during plant immune activation. Plant Biotechnology Journal. 18(7). 1610–1619. 16 indexed citations

Çevik, Volkan, Freddy Boutrot, Alexandre Robert‐Seilaniantz, et al.. (2019). Transgressive segregation reveals mechanisms ofArabidopsisimmunity toBrassica-infecting races of white rust (Albugo candida). Proceedings of the National Academy of Sciences. 116(7). 2767–2773. 40 indexed citations

Weyer, Anna-Lena Van de, Freddy Monteiro, Oliver J. Furzer, et al.. (2019). A Species-Wide Inventory of NLR Genes and Alleles in Arabidopsis thaliana. Cell. 178(5). 1260–1272.e14. 240 indexed citations breakdown →

10.

Saile, Svenja C., et al.. (2019). Help wanted: helper NLRs and plant immune responses. Current Opinion in Plant Biology. 50. 82–94. 192 indexed citations

11.

Jouet, Agathe, Diane G. O. Saunders, Mark McMullan, et al.. (2018). Albugo candida race diversity, ploidy and host‐associated microbes revealed using DNA sequence capture on diseased plants in the field. New Phytologist. 221(3). 1529–1543. 30 indexed citations

12.

Asai, Shuta, Oliver J. Furzer, Volkan Çevik, et al.. (2018). A downy mildew effector evades recognition by polymorphism of expression and subcellular localization. Nature Communications. 9(1). 5192–5192. 32 indexed citations

13.

Groen, Simon C., Sanjie Jiang, Alex M. Murphy, et al.. (2016). Virus Infection of Plants Alters Pollinator Preference: A Payback for Susceptible Hosts?. PLoS Pathogens. 12(8). e1005790–e1005790. 75 indexed citations

14.

Duxbury, Zane, Yan Ma, Oliver J. Furzer, et al.. (2016). Pathogen perception by NLRs in plants and animals: Parallel worlds. BioEssays. 38(8). 769–781. 70 indexed citations

15.

Saucet, Simon B., Yan Ma, Panagiotis F. Sarris, et al.. (2015). Two linked pairs of Arabidopsis TNL resistance genes independently confer recognition of bacterial effector AvrRps4. Nature Communications. 6(1). 6338–6338. 129 indexed citations

16.

Asai, Shuta, Ghanasyam Rallapalli, Sophie J. M. Piquerez, et al.. (2014). Expression Profiling during Arabidopsis/Downy Mildew Interaction Reveals a Highly-Expressed Effector That Attenuates Responses to Salicylic Acid. PLoS Pathogens. 10(10). e1004443–e1004443. 76 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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