Serena E. Dool

439 citations
22 papers · 304 · h-index 11

Impact in

Papers in

Serena E. Dool

22 papers receiving 299 citations

Peers

Serena E. Dool
Comparison fields: 5 of 39
  • Ecological Modeling 92
  • Ecology, Evolution, Behavior and Systematics 228
  • Developmental Biology 16
  • Paleontology 53
  • Ecology 105
Replace Xiuguang Mao with:
Xiuguang Mao China
Yann Gager Germany
Bhargavi Srinivasulu India
Antonín Reiter Czechia
Emrah Çoraman Türkiye
Thomas Hiller Germany
Samantha Stoffberg South Africa
Gregory L. Mutumi South Africa
Naijian Han China
Rodrigo García‐Morales Mexico
Serena E. Dool relative to Xiuguang Mao China Xiuguang Mao's profile →
Citations per field
00.5×1.5×
Xiuguang Mao · 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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201678
2 201346
3 201237
4 201519
5 202015
6 201615
7 201613
8 202112
9 201711
10 202110
11 202010
12 20188
13 20188
14 20235
15 20194
16 20253
17 20243
18 20173
19 20221
20 20201

About Serena E. Dool

Serena E. Dool is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Ecological Modeling, Ecology and Infectious Diseases, having authored 22 papers that have together received 304 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (17 papers), Species Distribution and Climate Change (8 papers), Wildlife Ecology and Conservation (6 papers), Yersinia bacterium, plague, ectoparasites research (6 papers), Viral Infections and Vectors (5 papers), Genetic diversity and population structure (4 papers), Genomics and Phylogenetic Studies (3 papers) and Evolution and Paleontology Studies (3 papers). The work is most often cited by research in Ecological Modeling (92 citations), Ecology, Evolution, Behavior and Systematics (228 citations), Developmental Biology (16 citations), Paleontology (53 citations) and Ecology (105 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, Tinyiko Maluleke, Benjamin Allegrini, Anna Bastian, Gerald Kerth, Nicole M. Foley, David S. Jacobs and Gregory L. Mutumi. Their work appears in journals such as Molecular Ecology, Conservation Genetics, Journal of Mammalogy, Journal of Heredity and Biology Letters.

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.

Explore authors with similar magnitude of impact