Florence R. Danila

968 citations
20 papers · 643 indexed · h-index 12
Topics
Plant nutrient uptake and metabolism (8 papers)Plant Molecular Biology Research (7 papers)Photosynthetic Processes and Mechanisms (6 papers)

In The Last Decade

Florence R. Danila

18 papers receiving 633 citations

Peers

Florence R. Danila
Comparison fields: 5 of 54
  • Plant Science 421
  • Molecular Biology 420
  • Global and Planetary Change 82
  • Renewable Energy, Sustainability and the Environment 75
  • Ecology, Evolution, Behavior and Systematics 41
Replace Chisato Masumoto with:
Chisato Masumoto Japan
Edwin J. Reidel United States
Sarah Kaines Australia
Naomi J. Brown United Kingdom
Qinglong Wang China
Vincent Chochois France
Inga Krassovskaya United States
Jiangxin Wan Canada
Gian Luca Borghi Germany
Ming‐Ju Amy Lyu China
Florence R. Danila relative to Chisato Masumoto Japan Chisato Masumoto's profile →
Citations per field
00.5×
Chisato Masumoto · 1×
Citations per year

Countries citing papers authored by Florence R. Danila

Since Specialization
Citations

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

Fields of papers citing papers by Florence R. Danila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florence R. Danila. 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 Florence R. Danila. The network helps show where Florence R. Danila may publish in the future.

Co-authorship network of co-authors of Florence R. Danila

This figure shows the co-authorship network connecting the top 25 collaborators of Florence R. Danila. A scholar is included among the top collaborators of Florence R. Danila 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 Florence R. Danila. Florence R. Danila 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
#WorkIndexed citations
1 0
2 0
3 1
4 5
5 14
6 1
7 6
8 28
9 13
10 25
11 87
12 137
13 17
14 26
15 10
16 37
17 71
18 28
19 131
20 6

About Florence R. Danila

Florence R. Danila is a scholar working on Biochemistry, Plant Science and Molecular Biology, having authored 20 papers that have together received 643 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (8 papers), Plant Molecular Biology Research (7 papers) and Photosynthetic Processes and Mechanisms (6 papers). The work is most often cited by research in Plant Science (421 citations), Molecular Biology (420 citations) and Biochemistry (36 citations). Florence R. Danila has collaborated with scholars based in Australia, United Kingdom and Philippines. Frequent co-authors include Susanne von Caemmerer, Robert T. Furbank, W. Paul Quick, Maria Ermakova, Rosemary G. White, Sarah Covshoff, Julian M. Hibberd, Shanta Karki, Steven Kelly and Helen K. Woodfield. Their work appears in journals such as The Plant Cell, PLANT PHYSIOLOGY and New Phytologist.

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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