Serena E. Dool

443 citations
24 papers · 331 · h-index 11

Impact in

Papers in

Serena E. Dool

22 papers receiving 329 citations

Peers

Serena E. Dool
Comparison fields: 5 of 31
  • Ecology, Evolution, Behavior and Systematics 213
  • Genetics 94
  • Developmental Biology 4
  • Paleontology 17
  • Ecological Modeling 4
Replace Gregory L. Mutumi with:
Gregory L. Mutumi South Africa
Jinggong Xiangyu China
Benjamin Allegrini Germany
Yanhong Xiao China
Juan Luis Garcia Mudarra Spain
Boyan P. Petrov Bulgaria
Yann Gager Germany
Yvonne A. Dzal Canada
Rodrigo A. F. Redondo Brazil
Martha Kaeslin Switzerland
Serena E. Dool relative to Gregory L. Mutumi South Africa Gregory L. Mutumi's profile →
Citations per field
00.5×2×3×4×
Gregory L. Mutumi · 1×
Citations per year

Countries citing papers authored by Serena E. Dool

Since Specialization
Citations

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

Fields of papers citing papers by Serena E. Dool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serena E. Dool. 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 Serena E. Dool. The network helps show where Serena E. Dool may publish in the future.

Co-authors

The 25 scholars most cited alongside Serena E. Dool, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Serena E. Dool Line = papers co-authored together Serena E. Dool links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201680
2 201347
3 201239
4 201520
5 201616
6 202016
7 202114
8 201613
9 201713
10 202113
11 202011
12 20259
13 20188
14 20188
15 20236
16 20195
17 20173
18 20243
19 20253
20 20131

About Serena E. Dool

Serena E. Dool is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Animal Science and Zoology, Cell Biology and Oncology, having authored 24 papers that have together received 331 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (16 papers), Genetic diversity and population structure (10 papers), Polyomavirus and related diseases (1 paper), Animal Virus Infections Studies (1 paper), Mycorrhizal Fungi and Plant Interactions (1 paper), Plant and fungal interactions (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Orthoptera Research and Taxonomy (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (213 citations), Genetics (94 citations), Developmental Biology (4 citations), Paleontology (17 citations) and Ecological Modeling (4 citations). Serena E. Dool has collaborated with scholars based in Germany, France and Ireland. Frequent co-authors include Sébastien J. Puechmaille, Emma C. Teeling, Mark S. Springer, Gerald Kerth, David Steve Jacobs, Gregory L. Mutumi, Nicole M. Foley, Benjamin Allegrini, Joanne M. Monks and Monika J. B. Eberhard. Their work appears in journals such as Molecular Ecology, Conservation Genetics, Pacific Science, Biology Letters and Mycological Progress.

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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