Daniel M. Holstein

1.5k total citations
43 papers, 808 citations indexed

About

Daniel M. Holstein is a scholar working on Ecology, Global and Planetary Change and Oceanography. According to data from OpenAlex, Daniel M. Holstein has authored 43 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ecology, 21 papers in Global and Planetary Change and 17 papers in Oceanography. Recurrent topics in Daniel M. Holstein's work include Coral and Marine Ecosystems Studies (36 papers), Marine and fisheries research (18 papers) and Marine and coastal plant biology (16 papers). Daniel M. Holstein is often cited by papers focused on Coral and Marine Ecosystems Studies (36 papers), Marine and fisheries research (18 papers) and Marine and coastal plant biology (16 papers). Daniel M. Holstein collaborates with scholars based in United States, U.S. Virgin Islands and Belgium. Daniel M. Holstein's co-authors include Tyler B. Smith, Claire B. Paris, Peter J. Mumby, CB Paris, Erinn M. Muller, Joanna Gyory, Ana C. Vaz, Marilyn E. Brandt, Emmanuel Hanert and Lewis J. Gramer and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Daniel M. Holstein

40 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Holstein United States 18 708 387 374 102 94 43 808
Brooke Gintert United States 12 632 0.9× 262 0.7× 310 0.8× 98 1.0× 105 1.1× 19 774
Bernardo Vargas-Ángel United States 17 799 1.1× 386 1.0× 430 1.1× 67 0.7× 112 1.2× 42 882
Kristen L. Marhaver United States 17 880 1.2× 356 0.9× 506 1.4× 88 0.9× 106 1.1× 26 993
Maria Inês Seabra Portugal 9 534 0.8× 219 0.6× 315 0.8× 38 0.4× 35 0.4× 15 614
Joshua S. Feingold United States 12 634 0.9× 318 0.8× 387 1.0× 47 0.5× 84 0.9× 26 767
Andrew R. Halford Australia 17 988 1.4× 819 2.1× 411 1.1× 330 3.2× 30 0.3× 29 1.2k
Valeria Pizarro Colombia 14 440 0.6× 169 0.4× 220 0.6× 23 0.2× 93 1.0× 29 505
Zoë L. Hutchison United Kingdom 11 265 0.4× 233 0.6× 168 0.4× 84 0.8× 26 0.3× 14 580
Dustin W. Kemp United States 20 1.3k 1.9× 459 1.2× 980 2.6× 53 0.5× 94 1.0× 40 1.4k
Elizabeth Neves Brazil 12 439 0.6× 230 0.6× 247 0.7× 67 0.7× 8 0.1× 49 487

Countries citing papers authored by Daniel M. Holstein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Holstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Holstein

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Holstein. A scholar is included among the top collaborators of Daniel M. Holstein 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 Daniel M. Holstein. Daniel M. Holstein 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
2.
Dobbelaere, Thomas, et al.. (2024). Investigating the link between the Port of Miami dredging and the onset of the stony coral tissue loss disease epidemics. Marine Pollution Bulletin. 207. 116886–116886. 2 indexed citations
3.
Holstein, Daniel M., Hollie M. Putnam, Peter J. Edmunds, et al.. (2024). Post-disturbance recovery dynamics of connected coral subpopulations. Theoretical Ecology. 18(1). 1 indexed citations
4.
Holstein, Daniel M., et al.. (2024). Hurricanes enhance coral connectivity but also superspread coral diseases. Global Change Biology. 30(6). e17382–e17382. 4 indexed citations
5.
Canty, Steven W. J., A. Justin Nowakowski, Courtney Cox, et al.. (2024). Interplay of management and environmental drivers shifts size structure of reef fish communities. Global Change Biology. 30(4). e17257–e17257. 4 indexed citations
6.
Mitchell, Molly, et al.. (2024). Life history and early ontogeny determine vertical swimming behaviors in the larvae of Caribbean corals. Journal of Experimental Marine Biology and Ecology. 578. 152035–152035. 1 indexed citations
7.
Viehman, T. Shay, Borja G. Reguero, Hunter S. Lenihan, et al.. (2023). Coral restoration for coastal resilience: Integrating ecology, hydrodynamics, and engineering at multiple scales. Ecosphere. 14(5). 24 indexed citations
8.
Meiling, Sonora S., Tyler B. Smith, Amy Apprill, et al.. (2023). Stony coral tissue loss disease induces transcriptional signatures of in situ degradation of dysfunctional Symbiodiniaceae. Nature Communications. 14(1). 2915–2915. 23 indexed citations
9.
Holstein, Daniel M., Tyler B. Smith, Ruben van Hooidonk, & Claire B. Paris. (2022). Predicting coral metapopulation decline in a changing thermal environment. Coral Reefs. 41(4). 961–972. 14 indexed citations
10.
Critchell, Kay, Courtney Cox, Stuart Campbell, et al.. (2022). Comparing spatial conservation prioritization methods with site‐ versus spatial dependency‐based connectivity. Conservation Biology. 37(2). e14008–e14008. 3 indexed citations
11.
Studivan, Michael S., et al.. (2022). Transmission of stony coral tissue loss disease (SCTLD) in simulated ballast water confirms the potential for ship-born spread. Scientific Reports. 12(1). 19248–19248. 17 indexed citations
12.
Studivan, Michael S., et al.. (2022). Reef Sediments Can Act As a Stony Coral Tissue Loss Disease Vector. Frontiers in Marine Science. 8. 26 indexed citations
14.
Enochs, Ian C., Lauren T. Toth, Amanda Kirkland, et al.. (2021). Upwelling and the persistence of coral‐reef frameworks in the eastern tropical Pacific. Ecological Monographs. 91(4). 14 indexed citations
15.
Speare, Kelly E., et al.. (2021). Energetic and reproductive costs of coral recovery in divergent bleaching responses. Scientific Reports. 11(1). 23546–23546. 50 indexed citations
16.
Muller, Erinn M., et al.. (2020). Coupled Epidemio-Hydrodynamic Modeling to Understand the Spread of a Deadly Coral Disease in Florida. Frontiers in Marine Science. 7. 49 indexed citations
17.
Holstein, Daniel M., et al.. (2018). Lethal and sublethal impacts of a micropredator on post-settlement Caribbean reef fishes. Oecologia. 189(2). 293–305. 14 indexed citations
18.
Chollett, Iliana, Lysel Garavelli, Daniel M. Holstein, et al.. (2017). A case for redefining the boundaries of the Mesoamerican Reef Ecoregion. Coral Reefs. 36(4). 1039–1046. 18 indexed citations
19.
Holstein, Daniel M., Tyler B. Smith, & Claire B. Paris. (2016). Depth-Independent Reproduction in the Reef Coral Porites astreoides from Shallow to Mesophotic Zones. PLoS ONE. 11(1). e0146068–e0146068. 38 indexed citations
20.
Holstein, Daniel M., Tyler B. Smith, Joanna Gyory, & Claire B. Paris. (2015). Fertile fathoms: Deep reproductive refugia for threatened shallow corals. Scientific Reports. 5(1). 12407–12407. 67 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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