Hannah Böhm

1.5k total citations · 1 hit paper
7 papers, 899 citations indexed

About

Hannah Böhm is a scholar working on Plant Science, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Hannah Böhm has authored 7 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Hannah Böhm's work include Plant-Microbe Interactions and Immunity (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Plant Pathogenic Bacteria Studies (4 papers). Hannah Böhm is often cited by papers focused on Plant-Microbe Interactions and Immunity (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Plant Pathogenic Bacteria Studies (4 papers). Hannah Böhm collaborates with scholars based in Germany, Netherlands and Austria. Hannah Böhm's co-authors include Isabell Albert, Thorsten Nürnberger, Stan Oome, Guido Van den Ackerveken, Tom M. Raaymakers, Fan Li, Markus Albert, Christopher Grefen, Rainer Hedrich and Andrea A. Gust and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLoS Pathogens.

In The Last Decade

Hannah Böhm

7 papers receiving 892 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.

An RLP23–SOBIR1–BAK1 complex mediates NLP-triggered immunity

2015 341 citations Isabell Albert, Hannah Böhm et al. Nature Plants profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah Böhm Germany	7	867	160	118	24	22	7	899
Tom M. Raaymakers Netherlands	7	760 0.9×	134 0.8×	108 0.9×	23 1.0×	33 1.5×	12	796
Megan A. Outram Australia	14	610 0.7×	232 1.4×	126 1.1×	16 0.7×	20 0.9×	22	715
Stan Oome Netherlands	6	740 0.9×	114 0.7×	158 1.3×	27 1.1×	19 0.9×	6	760
Amey Redkar Spain	14	694 0.8×	255 1.6×	190 1.6×	34 1.4×	16 0.7×	21	764
Isabell Albert Germany	15	1.3k 1.5×	272 1.7×	230 1.9×	59 2.5×	32 1.5×	17	1.4k
Sophie J. M. Piquerez United Kingdom	11	855 1.0×	199 1.2×	144 1.2×	15 0.6×	13 0.6×	16	905
Holger Schultheiß Germany	14	848 1.0×	390 2.4×	128 1.1×	19 0.8×	19 0.9×	14	912
Kobi Buxdorf Israel	12	565 0.7×	316 2.0×	78 0.7×	33 1.4×	12 0.5×	13	625
Roland Willmann Germany	6	694 0.8×	172 1.1×	40 0.3×	8 0.3×	36 1.6×	6	765
Toby E. Newman Australia	12	422 0.5×	82 0.5×	38 0.3×	24 1.0×	25 1.1×	19	451

Countries citing papers authored by Hannah Böhm

Since Specialization

Citations

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

Fields of papers citing papers by Hannah Böhm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Böhm

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Böhm. A scholar is included among the top collaborators of Hannah Böhm 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 Hannah Böhm. Hannah Böhm 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:

7 of 7 papers shown

1.

Pirc, Katja, Vesna Hodnik, Tea Lenarčič, et al.. (2021). Nep1-like proteins as a target for plant pathogen control. PLoS Pathogens. 17(4). e1009477–e1009477. 16 indexed citations

2.

Hyun, Tae Kyung, Alfonso Albacete, Eric van der Graaff, et al.. (2015). The Arabidopsis PLAT domain protein1 promotes abiotic stress tolerance and growth in tobacco. Transgenic Research. 24(4). 651–663. 15 indexed citations

3.

Albert, Isabell, Hannah Böhm, Markus Albert, et al.. (2015). An RLP23–SOBIR1–BAK1 complex mediates NLP-triggered immunity. Nature Plants. 1(10). 15140–15140. 341 indexed citations breakdown →

4.

Böhm, Hannah, Isabell Albert, Stan Oome, et al.. (2014). A Conserved Peptide Pattern from a Widespread Microbial Virulence Factor Triggers Pattern-Induced Immunity in Arabidopsis. PLoS Pathogens. 10(11). e1004491–e1004491. 136 indexed citations

5.

Hyun, Tae Kyung, Eric van der Graaff, Alfonso Albacete, et al.. (2014). The Arabidopsis PLAT Domain Protein1 Is Critically Involved in Abiotic Stress Tolerance. PLoS ONE. 9(11). e112946–e112946. 48 indexed citations

6.

Böhm, Hannah, et al.. (2014). Immune receptor complexes at the plant cell surface. Current Opinion in Plant Biology. 20. 47–54. 206 indexed citations

7.

Oome, Stan, Tom M. Raaymakers, Adriana Cabral, et al.. (2014). Nep1-like proteins from three kingdoms of life act as a microbe-associated molecular pattern in Arabidopsis. Proceedings of the National Academy of Sciences. 111(47). 16955–16960. 137 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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