Maida Romera‐Branchat

1.3k citations
14 papers · 918 indexed · h-index 10
Topics
Plant Molecular Biology Research (11 papers)Plant Reproductive Biology (10 papers)Plant nutrient uptake and metabolism (3 papers)

In The Last Decade

Maida Romera‐Branchat

13 papers receiving 910 citations

Peers

Maida Romera‐Branchat
Comparison fields: 5 of 30
  • Plant Science 873
  • Molecular Biology 729
  • Ecology, Evolution, Behavior and Systematics 43
  • Genetics 30
  • Biochemistry 12
Replace Cristina Úrbez with:
Cristina Úrbez Spain
Seung Kwan Yoo South Korea
Joel J. Sohlberg Sweden
Staci Nole-Wilson United States
Jianfei Zhao United States
Ya Lin Sang China
Sae Takahashi Japan
Jasmin S. Ehrismann Germany
Amy Estiati Indonesia
Darren J. Morrow United States
Maida Romera‐Branchat relative to Cristina Úrbez Spain Cristina Úrbez's profile →
Citations per field
00.5×1.5×1.8×
Cristina Úrbez · 1×
Citations per year

Countries citing papers authored by Maida Romera‐Branchat

Since Specialization
Citations

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

Fields of papers citing papers by Maida Romera‐Branchat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maida Romera‐Branchat. 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 Maida Romera‐Branchat. The network helps show where Maida Romera‐Branchat may publish in the future.

Co-authorship network of co-authors of Maida Romera‐Branchat

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 14
5 64
6 59
7 1
8 39
9 148
10 72
11 128
12 95
13 189
14 106

About Maida Romera‐Branchat

Maida Romera‐Branchat is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 918 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (11 papers), Plant Reproductive Biology (10 papers) and Plant nutrient uptake and metabolism (3 papers). The work is most often cited by research in Plant Science (873 citations), Molecular Biology (729 citations) and Horticulture (5 citations). Maida Romera‐Branchat has collaborated with scholars based in Germany, United Kingdom and Spain. Frequent co-authors include George Coupland, Stefano Torti, Aimone Porri, Soraya Pelaz, Fernando Andrés, Cristina Castillejo, Fabio Fornara, Julieta L. Mateos, Juan José Ripoll and Martin F. Yanofsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Cell and Development.

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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