John Withers

3.3k total citations · 2 hit papers
14 papers, 2.4k citations indexed

About

John Withers is a scholar working on Plant Science, Insect Science and Molecular Biology. According to data from OpenAlex, John Withers has authored 14 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 4 papers in Insect Science and 3 papers in Molecular Biology. Recurrent topics in John Withers's work include Plant-Microbe Interactions and Immunity (8 papers), Plant Parasitism and Resistance (6 papers) and Plant Pathogenic Bacteria Studies (5 papers). John Withers is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Plant Parasitism and Resistance (6 papers) and Plant Pathogenic Bacteria Studies (5 papers). John Withers collaborates with scholars based in United States, Japan and India. John Withers's co-authors include Xinnian Dong, Sheng Yang He, Gregg A. Howe, Ning Zheng, Thomas R. Hinds, John Browse, Laura B. Sheard, Yuichi Kobayashi, Fong‐Fu Hsu and Haibin Mao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

John Withers

14 papers receiving 2.4k 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.

Jasmonate perception by inositol-phosphate-potentiated COI1–JAZ co-receptor

2010 1.1k citations Laura B. Sheard, Xu Tan et al. Nature profile →
Salicylic acid receptors activate jasmonic acid signalling through a non-canonical pathway to promote effector-triggered immunity

2016 287 citations Lijing Liu, Bethany Huot et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Withers United States	13	2.0k	889	666	240	110	14	2.4k
Leron Katsir Israel	10	3.1k 1.5×	1.4k 1.6×	1.7k 2.6×	515 2.1×	74 0.7×	13	3.6k
Gustavo C. MacIntosh United States	26	1.2k 0.6×	922 1.0×	410 0.6×	188 0.8×	79 0.7×	51	1.9k
Esther Lechner France	23	3.9k 1.9×	2.9k 3.2×	401 0.6×	152 0.6×	148 1.3×	32	4.6k
Nicolas Baumberger France	18	2.4k 1.2×	1.5k 1.7×	199 0.3×	71 0.3×	69 0.6×	22	2.7k
F M Lozano Spain	8	1.7k 0.8×	846 1.0×	853 1.3×	267 1.1×	37 0.3×	12	2.1k
Wendy E. Durrant United States	9	3.0k 1.5×	1.1k 1.2×	204 0.3×	105 0.4×	382 3.5×	9	3.3k
Antonio Conconi Canada	19	842 0.4×	1.3k 1.4×	370 0.6×	99 0.4×	40 0.4×	39	1.8k
Nihal Dharmasiri United States	14	4.4k 2.2×	2.9k 3.3×	140 0.2×	110 0.5×	89 0.8×	20	4.7k
Alexandre Robert‐Seilaniantz United Kingdom	12	2.4k 1.2×	656 0.7×	300 0.5×	149 0.6×	357 3.2×	12	2.6k
Jaqueline Bautor Germany	18	1.9k 0.9×	732 0.8×	123 0.2×	68 0.3×	105 1.0×	22	2.2k

Countries citing papers authored by John Withers

Since Specialization

Citations

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

Fields of papers citing papers by John Withers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Withers

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

All Works

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14 of 14 papers shown

Kumar, S., Raul Zavaliev, Qinglin Wu, et al.. (2022). Structural basis of NPR1 in activating plant immunity. Nature. 605(7910). 561–566. 118 indexed citations

Wang, Wei, John Withers, Heng Li, et al.. (2020). Structural basis of salicylic acid perception by Arabidopsis NPR proteins. Nature. 586(7828). 311–316. 122 indexed citations

Withers, John & Xinnian Dong. (2017). Post-translational regulation of plant immunity. Current Opinion in Plant Biology. 38. 124–132. 110 indexed citations

Saleh, Abdelaty, John Withers, Rajinikanth Mohan, et al.. (2016). Posttranslational Modifications of the Master Transcriptional Regulator NPR1 Enable Dynamic but Tight Control of Plant Immune Responses. Cell Host & Microbe. 19(1). 127–130. 6 indexed citations

Liu, Lijing, Bethany Huot, Yangnan Gu, et al.. (2016). Salicylic acid receptors activate jasmonic acid signalling through a non-canonical pathway to promote effector-triggered immunity. Nature Communications. 7(1). 13099–13099. 287 indexed citations breakdown →

Withers, John & Xinnian Dong. (2016). Posttranslational Modifications of NPR1: A Single Protein Playing Multiple Roles in Plant Immunity and Physiology. PLoS Pathogens. 12(8). e1005707–e1005707. 100 indexed citations

Saleh, Abdelaty, John Withers, Rajinikanth Mohan, et al.. (2015). Posttranslational Modifications of the Master Transcriptional Regulator NPR1 Enable Dynamic but Tight Control of Plant Immune Responses. Cell Host & Microbe. 18(2). 169–182. 193 indexed citations

Zhang, Li, Jian Yao, John Withers, et al.. (2015). Host target modification as a strategy to counter pathogen hijacking of the jasmonate hormone receptor. Proceedings of the National Academy of Sciences. 112(46). 14354–14359. 46 indexed citations

Withers, John, Sanjeewa G. Rupasinghe, Poornima Sukumar, et al.. (2013). GRAVITY PERSISTENT SIGNAL 1 (GPS1) Reveals Novel Cytochrome P450s Involved in Gravitropism. American Journal of Botany. 100(1). 183–193. 13 indexed citations

10.

Yao, Jian, John Withers, & Sheng Yang He. (2013). Pseudomonas syringae Infection Assays in Arabidopsis. Methods in molecular biology. 1011. 63–81. 40 indexed citations

11.

Withers, John, et al.. (2012). Transcription factor-dependent nuclear localization of a transcriptional repressor in jasmonate hormone signaling. Proceedings of the National Academy of Sciences. 109(49). 20148–20153. 89 indexed citations

12.

Zeng, Weiqing, Alexandre Brutus, James M. Kremer, et al.. (2011). A Genetic Screen Reveals Arabidopsis Stomatal and/or Apoplastic Defenses against Pseudomonas syringae pv. tomato DC3000. PLoS Pathogens. 7(10). e1002291–e1002291. 113 indexed citations

13.

Sheard, Laura B., Xu Tan, Haibin Mao, et al.. (2010). Jasmonate perception by inositol-phosphate-potentiated COI1–JAZ co-receptor. Nature. 468(7322). 400–405. 1143 indexed citations breakdown →

14.

McCabe, Nuala, et al.. (1968). Stress response in chronic hypercapnia. American Journal of Physiology-Legacy Content. 214(3). 543–548. 18 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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