Sarah Gignoux‐Wolfsohn

907 citations
19 papers · 483 indexed · h-index 12

Sarah Gignoux‐Wolfsohn

18 papers receiving 478 citations

Peers

Sarah Gignoux‐Wolfsohn
Comparison fields: 5 of 72
  • Ecology 333
  • Ecological Modeling 35
  • Modeling and Simulation 35
  • Oceanography 88
  • Immunology 120
Replace Hannah J. Tidbury with:
Hannah J. Tidbury United Kingdom
Pepijn Luijckx Switzerland
Diego Montecino‐Latorre United States
Anieke van Leeuwen Netherlands
Jon Yamato United States
K. L. Mangin United States
Stephanie J. Peacock Canada
Juniper L. Simonis United States
Jody A. Peters United States
Amy K. Teffer Canada
Sarah Gignoux‐Wolfsohn relative to Hannah J. Tidbury United Kingdom Hannah J. Tidbury's profile →
Citations per field
00.5×11.7×
Hannah J. Tidbury · 1×
Citations per year

Countries citing papers authored by Sarah Gignoux‐Wolfsohn

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Gignoux‐Wolfsohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Gignoux‐Wolfsohn. 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 Sarah Gignoux‐Wolfsohn. The network helps show where Sarah Gignoux‐Wolfsohn may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sarah Gignoux‐Wolfsohn, 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 Sarah Gignoux‐Wolfsohn Line = papers co-authored together Sarah Gignoux‐Wolfsohn links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20250
2 20241
3 20242
4 202222
5 202126
6 202120
7 202145
8 202163
9 20207
10 202011
11 202017
12 201927
13 201750
14 201710
15
Temporal Sampling of White Band Disease Infected Corals Reveals Complex and Dynamic Bacterial Communities
20161
16 201538
17 201573
18 201260
19 201110

About Sarah Gignoux‐Wolfsohn

Sarah Gignoux‐Wolfsohn is a scholar working on Ecological Modeling, Ecology and Developmental Biology, having authored 19 papers that have together received 483 indexed citations. Recurring topics across this work include Coral and Marine Ecosystems Studies (6 papers), Bat Biology and Ecology Studies (6 papers), Aquaculture disease management and microbiota (5 papers), Physiological and biochemical adaptations (4 papers), Parasite Biology and Host Interactions (3 papers), Viral Infections and Vectors (3 papers), Species Distribution and Climate Change (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Ecology (333 citations), Ecological Modeling (35 citations) and Modeling and Simulation (35 citations). Sarah Gignoux‐Wolfsohn has collaborated with scholars based in United States and Canada. Frequent co-authors include Steven V. Vollmer, Edward W. Tekwa, Jude Dzevela Kong, Brooke Maslo, Brian S. Cheng, Seema N. Sheth, Morgan W. Kelly, Matthew Sasaki, Cynthia G. Hays and Nina H. Fefferman. Their work appears in journals such as PLoS ONE, Scientific Reports, Parasitology, Proceedings of the Royal Society B Biological Sciences and Nature Climate Change.

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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