Maik Böhmer

3.0k total citations · 1 hit paper
36 papers, 2.2k citations indexed

About

Maik Böhmer is a scholar working on Plant Science, Molecular Biology and Physiology. According to data from OpenAlex, Maik Böhmer has authored 36 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 12 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Maik Böhmer's work include Plant Stress Responses and Tolerance (7 papers), Plant Molecular Biology Research (7 papers) and Photosynthetic Processes and Mechanisms (6 papers). Maik Böhmer is often cited by papers focused on Plant Stress Responses and Tolerance (7 papers), Plant Molecular Biology Research (7 papers) and Photosynthetic Processes and Mechanisms (6 papers). Maik Böhmer collaborates with scholars based in Germany, United States and Switzerland. Maik Böhmer's co-authors include Julian I. Schroeder, Honghong Hu, Noriyuki Nishimura, Tae‐Houn Kim, Shaowu Xue, Aurélien Boisson‐Dernier, Josef M. Kuhn, Silke Robatzek, Michael Bölker and Enrico Schleiff and has published in prestigious journals such as Nature Cell Biology, Advanced Functional Materials and PLANT PHYSIOLOGY.

In The Last Decade

Maik Böhmer

35 papers receiving 2.2k citations

Hit Papers

Guard Cell Signal Transduction Network: Advances in Under... 2010 2026 2015 2020 2010 250 500 750 1000

Peers

Maik Böhmer
Comparison fields: 5 of 115
  • Plant Science 1.8k
  • Molecular Biology 871
  • Global and Planetary Change 147
  • Cell Biology 79
  • Epidemiology 72
Replace Yamei Wang with:
Yamei Wang China
Éva Kevei Germany
Cailin Wang China
Lina Sun China
Haiying Li China
Fernando Alemán Spain
Albertus H. de Boer Netherlands
Keita Arakawa Japan
Yamei Wang China View profile →
Citations per field, relative to Maik Böhmer
Maik Böhmer · 1×
Citations per year, relative to Maik Böhmer
Maik Böhmer · 1×

Countries citing papers authored by Maik Böhmer

Since Specialization
Citations

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

Fields of papers citing papers by Maik Böhmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maik Böhmer

This figure shows the co-authorship network connecting the top 25 collaborators of Maik Böhmer. A scholar is included among the top collaborators of Maik Böhmer 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 Maik Böhmer. Maik Böhmer 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
# Work Indexed citations
1 1
2 0
3 3
4 2
5 26
6 4
7 1
8 50
9 17
10 7
11 27
12 30
13 89
14 85
15 47
16 125
17
Guard Cell Signal Transduction Network: Advances in Understanding Abscisic Acid, CO2, and Ca2+Signaling breakdown →
1027
18 353
19 40
20 28

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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