Michelle T. Casanova

2.0k citations
40 papers · 1.5k indexed · 1 hit paper · h-index 19
Topics
Aquatic Ecosystems and Phytoplankton Dynamics (23 papers)Coastal wetland ecosystem dynamics (10 papers)Plant Diversity and Evolution (8 papers)

In The Last Decade

Michelle T. Casanova

36 papers receiving 1.4k citations

Hit Papers

How do depth, duration and frequency of flooding influenc...20002026200820172000200400600

Peers

Michelle T. Casanova
Comparison fields: 5 of 62
  • Ecology 897
  • Environmental Chemistry 492
  • Nature and Landscape Conservation 424
  • Plant Science 382
  • Ecology, Evolution, Behavior and Systematics 257
Replace Hongzhu Wang with:
Hongzhu Wang China
Rossano Bolpagni Italy
Raymond M. Newman United States
François Guérold France
Judith M. Sarneel Netherlands
Heather M. Rueth United States
G.J. van Geest Netherlands
Eric D. Dibble United States
Jill R. Welter United States
Christian K. Dang France
Michelle T. Casanova relative to Hongzhu Wang China Hongzhu Wang's profile →
Citations per field
00.5×1.5×2.0×
Hongzhu Wang · 1×
Citations per year

Countries citing papers authored by Michelle T. Casanova

Since Specialization
Citations

This map shows the geographic impact of Michelle T. Casanova'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 Michelle T. Casanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle T. Casanova more than expected).

Fields of papers citing papers by Michelle T. Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle T. Casanova. 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 Michelle T. Casanova. The network helps show where Michelle T. Casanova may publish in the future.

Co-authorship network of co-authors of Michelle T. Casanova

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle T. Casanova. A scholar is included among the top collaborators of Michelle T. Casanova 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 Michelle T. Casanova. Michelle T. Casanova 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 3
3 0
4 2
5 34
6 99
7 9
8 5
9 4
10 7
11 63
12 49
13 24
14 7
15 41
16 8
17 47
18 20
19 19
20 66

About Michelle T. Casanova

Michelle T. Casanova is a scholar working on Environmental Chemistry, Ecology and Nature and Landscape Conservation, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Aquatic Ecosystems and Phytoplankton Dynamics (23 papers), Coastal wetland ecosystem dynamics (10 papers) and Plant Diversity and Evolution (8 papers). The work is most often cited by research in Environmental Chemistry (492 citations), Ecology (897 citations) and Nature and Landscape Conservation (424 citations). Michelle T. Casanova has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Margaret A. Brock, Mary J. Beilby, Kenneth G. Karol, Christopher Joyce, Matthew Simpson, John S. Clayton, Mary de Winton, Michael D. Burch, Richard M. McCourt and Monique Feist. Their work appears in journals such as The Science of The Total Environment, Ecological Indicators and Freshwater Biology.

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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