Reinhard Hehl

3.1k total citations · 1 hit paper
65 papers, 2.4k citations indexed

About

Reinhard Hehl is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Reinhard Hehl has authored 65 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 50 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in Reinhard Hehl's work include Plant Molecular Biology Research (23 papers), Plant Gene Expression Analysis (22 papers) and Plant-Microbe Interactions and Immunity (21 papers). Reinhard Hehl is often cited by papers focused on Plant Molecular Biology Research (23 papers), Plant Gene Expression Analysis (22 papers) and Plant-Microbe Interactions and Immunity (21 papers). Reinhard Hehl collaborates with scholars based in Germany, United States and France. Reinhard Hehl's co-authors include Barbara Baker, Catherine Corr, Doil Choi, S.P. Dinesh-Kumar, Lorenz Bülow, Martin Schindler, Fabian Machens, Simone Sell, Hans Sommer and Heinz Saedler and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Reinhard Hehl

64 papers receiving 2.3k citations

Hit Papers

The product of the tobacco mosaic virus resistance gene N... 1994 2026 2004 2015 1994 250 500 750 1000
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.

  1. The product of the tobacco mosaic virus resistance gene N: Similarity to toll and the interleukin-1 receptor
    1994 1.1k citations S.P. Dinesh-Kumar, Doil Choi et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reinhard Hehl Germany 22 2.1k 1.2k 121 93 86 65 2.4k
Fang Xu China 23 2.1k 1.0× 1.1k 0.9× 97 0.8× 104 1.1× 187 2.2× 50 2.6k
Ghanasyam Rallapalli United Kingdom 16 1.5k 0.7× 793 0.6× 96 0.8× 108 1.2× 50 0.6× 19 1.9k
Yu Cheng China 18 2.0k 1.0× 792 0.6× 68 0.6× 145 1.6× 33 0.4× 36 2.3k
Pablo Tornero Spain 25 1.7k 0.8× 764 0.6× 130 1.1× 122 1.3× 35 0.4× 40 2.0k
Ben F. Holt United States 23 3.8k 1.8× 1.9k 1.5× 89 0.7× 182 2.0× 148 1.7× 30 4.1k
Byung-Chun Yoo United States 14 1.5k 0.7× 1.0k 0.8× 52 0.4× 73 0.8× 57 0.7× 18 1.8k
Kyung-Hee Paek South Korea 27 1.9k 0.9× 1.1k 0.9× 193 1.6× 91 1.0× 59 0.7× 58 2.2k
Yves Marco France 22 2.7k 1.3× 1.0k 0.8× 91 0.8× 198 2.1× 48 0.6× 30 3.0k
John M. Salmeron United States 18 2.2k 1.1× 1.2k 1.0× 98 0.8× 213 2.3× 141 1.6× 28 2.8k
Bernard Lescure France 23 1.4k 0.7× 1.6k 1.3× 106 0.9× 112 1.2× 119 1.4× 39 2.1k

Countries citing papers authored by Reinhard Hehl

Since Specialization
Citations

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

Fields of papers citing papers by Reinhard Hehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reinhard Hehl

This figure shows the co-authorship network connecting the top 25 collaborators of Reinhard Hehl. A scholar is included among the top collaborators of Reinhard Hehl 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 Reinhard Hehl. Reinhard Hehl 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.
Hehl, Reinhard, et al.. (2019). A strong NF-κB p65 responsive cis-regulatory sequence from Arabidopsis thaliana interacts with WRKY40. Plant Cell Reports. 38(9). 1139–1150. 6 indexed citations
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Hehl, Reinhard, et al.. (2017). Combinatorial requirement of W- and WT-boxes in microbe-associated molecular pattern-responsive synthetic promoters. Plant Cell Reports. 36(6). 971–986. 14 indexed citations
5.
Hehl, Reinhard, et al.. (2016). In Silico Expression Analysis. Methods in molecular biology. 1482. 247–257.
6.
Schulze, Jutta, et al.. (2016). Analysis of Microbe-Associated Molecular Pattern-Responsive Synthetic Promoters with the Parsley Protoplast System. Methods in molecular biology. 1482. 163–174. 8 indexed citations
7.
Hanko, Erik K. R., et al.. (2015). Functional dissection of a strong and specific microbe‐associated molecular pattern‐responsive synthetic promoter. Plant Biotechnology Journal. 14(1). 61–71. 18 indexed citations
8.
Hehl, Reinhard & Lorenz Bülow. (2014). AthaMap Web Tools for the Analysis of Transcriptional and Posttranscriptional Regulation of Gene Expression in Arabidopsis thaliana. Methods in molecular biology. 1158. 139–156. 29 indexed citations
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Machens, Fabian, et al.. (2013). Differential expression of the TMV resistance gene N prevents a hypersensitive response in seeds and during germination. Planta. 237(3). 909–915. 5 indexed citations
11.
Machens, Fabian, et al.. (2013). Identification of a novel type of WRKY transcription factor binding site in elicitor-responsive cis-sequences from Arabidopsis thaliana. Plant Molecular Biology. 84(4-5). 371–385. 65 indexed citations
12.
Bülow, Lorenz, et al.. (2012). ‘MicroRNA Targets’, a new AthaMap web-tool for genome-wide identification of miRNA targets in Arabidopsis thaliana. BioData Mining. 5(1). 7–7. 17 indexed citations
13.
Bülow, Lorenz, et al.. (2010). AthaMap-assisted transcription factor target gene identification in Arabidopsis thaliana. Database. 2010(0). baq034–baq034. 27 indexed citations
14.
Bülow, Lorenz, Martin Schindler, & Reinhard Hehl. (2006). PathoPlant(R): a platform for microarray expression data to analyze co-regulated genes involved in plant defense responses. Nucleic Acids Research. 35(Database). D841–D845. 33 indexed citations
15.
Stahl, Dietmar J., et al.. (2006). Taproot promoters cause tissue specific gene expression within the storage root of sugar beet. Planta. 224(3). 485–495. 16 indexed citations
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Hehl, Reinhard & Edgar Wingender. (2001). Database-assisted promoter analysis. Trends in Plant Science. 6(6). 251–255. 46 indexed citations
18.
Dinesh-Kumar, S.P., et al.. (1994). The product of the tobacco mosaic virus resistance gene N: Similarity to toll and the interleukin-1 receptor. Cell. 78(6). 1101–1115. 1058 indexed citations breakdown →
19.
Hehl, Reinhard & Barbara Baker. (1990). Towards transposon tagging of the TMV resistance gene N using Activator in transgenic tobacco.. 2 indexed citations
20.
Hehl, Reinhard & Barbara Baker. (1989). Induced transposition of Ds by a stable Ac in crosses of transgenic tobacco plants. Molecular and General Genetics MGG. 217(1). 53–59. 59 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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