E. A. C. MACROBBIE

4.2k total citations
58 papers, 3.2k citations indexed

About

E. A. C. MACROBBIE is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, E. A. C. MACROBBIE has authored 58 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 25 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in E. A. C. MACROBBIE's work include Plant Stress Responses and Tolerance (27 papers), Photosynthetic Processes and Mechanisms (10 papers) and Ion channel regulation and function (10 papers). E. A. C. MACROBBIE is often cited by papers focused on Plant Stress Responses and Tolerance (27 papers), Photosynthetic Processes and Mechanisms (10 papers) and Ion channel regulation and function (10 papers). E. A. C. MACROBBIE collaborates with scholars based in United Kingdom, Portugal and Denmark. E. A. C. MACROBBIE's co-authors include Fouad Lemtiri‐Chlieh, Hans H. Ussing, J. Dainty, Charles A. Brearley, Gerhard Thiel, Michael R. Blatt, Smita Kurup, Carol Shennan, Roderick Hunt and Alex Webb and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

E. A. C. MACROBBIE

58 papers receiving 2.9k citations

Peers

E. A. C. MACROBBIE
Comparison fields: 5 of 106
  • Plant Science 2.3k
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 265
  • Physiology 223
  • Global and Planetary Change 139
Replace Roger M. Spanswick with:
Roger M. Spanswick United States
Hubert Felle Germany
Joachim Fisahn Germany
Roger P. Hangarter United States
Robert E. Cleland United States
N. A. Walker Australia
James A. Guikema United States
Kurt A. Santarius Germany
Shoshi Muto Japan
A. B. Hope Australia
Roger M. Spanswick United States View profile →
Citations per field, relative to E. A. C. MACROBBIE
E. A. C. MACROBBIE · 1×
Citations per year, relative to E. A. C. MACROBBIE
E. A. C. MACROBBIE · 1×

Countries citing papers authored by E. A. C. MACROBBIE

Since Specialization
Citations

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

Fields of papers citing papers by E. A. C. MACROBBIE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. A. C. MACROBBIE. 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 E. A. C. MACROBBIE. The network helps show where E. A. C. MACROBBIE may publish in the future.

Co-authorship network of co-authors of E. A. C. MACROBBIE

This figure shows the co-authorship network connecting the top 25 collaborators of E. A. C. MACROBBIE. A scholar is included among the top collaborators of E. A. C. MACROBBIE 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 E. A. C. MACROBBIE. E. A. C. MACROBBIE 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 53
2 46
3 197
4 146
5 82
6 121
7 5
8 163
9 38
10 38
11 35
12 33
13 42
14 22
15 59
16 26
17 54
18 53
19 92
20 147

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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