Virginia M. Weis

10.9k total citations · 4 hit papers
114 papers, 6.6k citations indexed

About

Virginia M. Weis is a scholar working on Ecology, Oceanography and Molecular Biology. According to data from OpenAlex, Virginia M. Weis has authored 114 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Ecology, 43 papers in Oceanography and 25 papers in Molecular Biology. Recurrent topics in Virginia M. Weis's work include Coral and Marine Ecosystems Studies (93 papers), Marine and coastal plant biology (28 papers) and Coastal wetland ecosystem dynamics (27 papers). Virginia M. Weis is often cited by papers focused on Coral and Marine Ecosystems Studies (93 papers), Marine and coastal plant biology (28 papers) and Coastal wetland ecosystem dynamics (27 papers). Virginia M. Weis collaborates with scholars based in United States, New Zealand and Australia. Virginia M. Weis's co-authors include Simon K. Davy, Denis Allemand, Mauricio Rodríguez‐Lanetty, Jodi Schwarz, Simon R. Dunn, Christine E. Schnitzler, Clinton A. Oakley, Angela Z. Poole, John R. Pringle and Arthur Grossman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Virginia M. Weis

110 papers receiving 6.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cell Biology of Cnidarian-Dinoflagellate Symbiosis

2012 665 citations Simon K. Davy, Virginia M. Weis et al. profile →
Cellular mechanisms of Cnidarian bleaching: stress causes the collapse of symbiosis

2008 661 citations Virginia M. Weis Journal of Experimental Biology profile →
The genome of Aiptasia , a sea anemone model for coral symbiosis

2015 289 citations Sebastian Baumgarten, Oleg Simakov et al. Proceedings of the National Academy of Sciences profile →
Triggers, cascades, and endpoints: connecting the dots of coral bleaching mechanisms

2024 36 citations Simon K. Davy, Virginia M. Weis et al. Biological reviews/Biological reviews of the Cambridge Philosophical Society profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Virginia M. Weis United States	46	5.5k	2.9k	1.5k	1.1k	1.1k	114	6.6k
Mónica Medina United States	43	4.3k 0.8×	2.0k 0.7×	1.1k 0.8×	999 0.9×	1.3k 1.2×	117	6.3k
Simon K. Davy New Zealand	45	5.0k 0.9×	2.7k 0.9×	1.4k 0.9×	878 0.8×	1.1k 1.0×	162	5.6k
Manuel Aranda Saudi Arabia	40	3.3k 0.6×	1.6k 0.6×	791 0.5×	608 0.6×	821 0.8×	107	4.6k
William Leggat Australia	35	4.1k 0.7×	2.9k 1.0×	724 0.5×	656 0.6×	1.1k 1.1×	87	5.1k
Ruth D. Gates United States	48	7.0k 1.3×	5.0k 1.7×	921 0.6×	805 0.7×	2.5k 2.4×	127	8.1k
Scott R. Santos United States	34	4.0k 0.7×	2.7k 0.9×	327 0.2×	355 0.3×	920 0.9×	89	5.5k
William K. Fitt United States	43	6.3k 1.1×	4.9k 1.7×	722 0.5×	347 0.3×	2.6k 2.4×	81	7.3k
Jean‐Baptiste Raina Australia	33	3.7k 0.7×	2.0k 0.7×	605 0.4×	750 0.7×	563 0.5×	86	4.6k
Jean Vacelet France	43	2.3k 0.4×	1.0k 0.3×	4.5k 3.1×	646 0.6×	1.6k 1.5×	163	6.4k
L. Muscatine United States	51	7.7k 1.4×	5.6k 1.9×	1.2k 0.8×	583 0.5×	2.6k 2.5×	81	9.7k

Countries citing papers authored by Virginia M. Weis

Since Specialization

Citations

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

Fields of papers citing papers by Virginia M. Weis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia M. Weis. 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 Virginia M. Weis. The network helps show where Virginia M. Weis may publish in the future.

Co-authorship network of co-authors of Virginia M. Weis

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia M. Weis. A scholar is included among the top collaborators of Virginia M. Weis 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 Virginia M. Weis. Virginia M. Weis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Matthews, J. L., Clinton A. Oakley, Robert E. Lewis, et al.. (2025). The Influence of Symbiont Identity on the Proteomic and Metabolomic Responses of the Model Cnidarian Aiptasia to Thermal Stress. Environmental Microbiology. 27(3). e70073–e70073. 1 indexed citations

Tivey, Trevor, Ernest Raymond, Clinton A. Oakley, et al.. (2025). Stability of the cnidarian–dinoflagellate symbiosis is primarily determined by symbiont cell-cycle arrest. Proceedings of the National Academy of Sciences. 122(14). e2412396122–e2412396122.

McCauley, Mark, et al.. (2025). Manipulation of the Symbiodiniaceae microbiome confers multigenerational impacts on symbioses and reproductive ecology of its Exaiptasia diaphana host. The ISME Journal. 19(1).

Davy, Simon K., et al.. (2024). Triggers, cascades, and endpoints: connecting the dots of coral bleaching mechanisms. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 99(3). 715–752. 36 indexed citations breakdown →

Lawson, Caitlin A., Clinton A. Oakley, Malcolm Possell, et al.. (2023). Symbiont Identity Impacts the Microbiome and Volatilome of a Model Cnidarian-Dinoflagellate Symbiosis. Biology. 12(7). 1014–1014. 6 indexed citations

Kitchen, Sheila A., Duo Jiang, Saki Harii, et al.. (2022). Coral larvae suppress heat stress response during the onset of symbiosis decreasing their odds of survival. Molecular Ecology. 31(22). 5813–5830. 10 indexed citations

Weis, Virginia M., et al.. (2022). Genetic Variation in Heat Tolerance of the Coral Platygyra Daedalea Indicates Potential for Adaptation to Ocean Warming. Frontiers in Marine Science. 9. 4 indexed citations

Cui, Guoxin, Clinton A. Oakley, Arthur Grossman, et al.. (2022). Symbiosis with Dinoflagellates Alters Cnidarian Cell-Cycle Gene Expression. Cellular Microbiology. 2022. 1–20. 11 indexed citations

McCauley, Mark, Wenjing Peng, Byeong Gwan Cho, et al.. (2022). Heat Stress of Algal Partner Hinders Colonization Success and Alters the Algal Cell Surface Glycome in a Cnidarian-Algal Symbiosis. Microbiology Spectrum. 10(3). e0156722–e0156722. 7 indexed citations

10.

Tivey, Trevor, John Everett Parkinson, Donovon A. Adpressa, et al.. (2020). N-Linked Surface Glycan Biosynthesis, Composition, Inhibition, and Function in Cnidarian-Dinoflagellate Symbiosis. Microbial Ecology. 80(1). 223–236. 23 indexed citations

11.

Rosset, Sabrina L., Clinton A. Oakley, Christine Ferrier‐Pagès, et al.. (2020). The Molecular Language of the Cnidarian–Dinoflagellate Symbiosis. Trends in Microbiology. 29(4). 320–333. 67 indexed citations

12.

Parkinson, John Everett, et al.. (2018). Subtle Differences in Symbiont Cell Surface Glycan Profiles Do Not Explain Species-Specific Colonization Rates in a Model Cnidarian-Algal Symbiosis. Frontiers in Microbiology. 9. 842–842. 32 indexed citations

13.

Matthews, J. L., Camerron M. Crowder, Clinton A. Oakley, et al.. (2017). Optimal nutrient exchange and immune responses operate in partner specificity in the cnidarian-dinoflagellate symbiosis. Proceedings of the National Academy of Sciences. 114(50). 13194–13199. 160 indexed citations

14.

Poole, Angela Z., Philipp Neubauer, Olivier Detournay, et al.. (2017). A diverse host thrombospondin-type-1 repeat protein repertoire promotes symbiont colonization during establishment of cnidarian-dinoflagellate symbiosis. eLife. 6. 32 indexed citations

15.

Poole, Angela Z., et al.. (2016). The scavenger receptor repertoire in six cnidarian species and its putative role in cnidarian-dinoflagellate symbiosis. PeerJ. 4. e2692–e2692. 41 indexed citations

16.

Matthews, J. L., Ashley E. Sproles, Clinton A. Oakley, et al.. (2015). Menthol-induced bleaching rapidly and effectively provides experimental aposymbiotic sea anemones ( Aiptasia sp.) for symbiosis investigations. Journal of Experimental Biology. 219(Pt 3). 306–10. 71 indexed citations

17.

Baumgarten, Sebastian, Oleg Simakov, Yi Jin Liew, et al.. (2015). The genome of Aiptasia , a sea anemone model for coral symbiosis. Proceedings of the National Academy of Sciences. 112(38). 11893–11898. 289 indexed citations breakdown →

18.

Detournay, Olivier & Virginia M. Weis. (2011). Role of the Sphingosine Rheostat in the Regulation of Cnidarian-Dinoflagellate Symbioses. Biological Bulletin. 221(3). 261–269. 31 indexed citations

19.

Weis, Virginia M.. (2008). Cellular mechanisms of Cnidarian bleaching: stress causes the collapse of symbiosis. Journal of Experimental Biology. 211(19). 3059–3066. 661 indexed citations breakdown →

20.

Schwarz, Jodi, Virginia M. Weis, & Donald C. Potts. (2002). Feeding behavior and acquisition of zooxanthellae by planula larvae of the sea anemone Anthopleura elegantissima. Marine Biology. 140(3). 471–478. 52 indexed citations

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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