Daniel D. Heath

5.9k total citations
146 papers, 4.5k citations indexed

About

Daniel D. Heath is a scholar working on Ecology, Molecular Biology and Genetics. According to data from OpenAlex, Daniel D. Heath has authored 146 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Ecology, 56 papers in Molecular Biology and 50 papers in Genetics. Recurrent topics in Daniel D. Heath's work include Fish Ecology and Management Studies (46 papers), Genetic diversity and population structure (42 papers) and Environmental DNA in Biodiversity Studies (37 papers). Daniel D. Heath is often cited by papers focused on Fish Ecology and Management Studies (46 papers), Genetic diversity and population structure (42 papers) and Environmental DNA in Biodiversity Studies (37 papers). Daniel D. Heath collaborates with scholars based in Canada, United States and China. Daniel D. Heath's co-authors include Hugh J. MacIsaac, Dave Kelly, Subba Rao Chaganti, Jerald A. Lalman, Ryan P. Walter, Robert H. Devlin, Margaret F. Docker, Thomas J. Hilbish, Paul D. Rawson and Aibin Zhan and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Daniel D. Heath

143 papers receiving 4.3k 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 D. Heath Canada 34 2.5k 1.3k 1.2k 1.2k 966 146 4.5k
Daniel F. R. Cleary Portugal 37 2.5k 1.0× 657 0.5× 522 0.4× 263 0.2× 791 0.8× 155 4.0k
Martin Zimmer Germany 36 2.3k 0.9× 539 0.4× 435 0.3× 397 0.3× 616 0.6× 132 4.2k
René E. Vaillancourt Australia 48 979 0.4× 2.1k 1.6× 1.7k 1.3× 2.5k 2.1× 632 0.7× 213 6.8k
Xavier Turón Spain 61 4.2k 1.7× 268 0.2× 2.2k 1.8× 858 0.7× 4.0k 4.2× 239 9.6k
Trevor J. Willis New Zealand 25 3.0k 1.2× 1.5k 1.1× 354 0.3× 169 0.1× 2.1k 2.2× 47 4.7k
Karl Cottenie Canada 31 3.0k 1.2× 1.9k 1.5× 575 0.5× 323 0.3× 587 0.6× 91 4.7k
J. A. Beardmore United Kingdom 38 1.5k 0.6× 626 0.5× 596 0.5× 1.9k 1.6× 732 0.8× 117 3.9k
Sébastien Brosse France 48 4.6k 1.8× 5.3k 4.1× 776 0.6× 558 0.5× 1.2k 1.2× 142 7.7k
Aibin Zhan China 37 2.4k 1.0× 568 0.4× 1.5k 1.2× 630 0.5× 1.3k 1.4× 173 4.1k
Donovan P. German United States 27 1.6k 0.6× 794 0.6× 433 0.3× 116 0.1× 602 0.6× 58 3.8k

Countries citing papers authored by Daniel D. Heath

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Heath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel D. Heath

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D. Heath. A scholar is included among the top collaborators of Daniel D. Heath 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 D. Heath. Daniel D. Heath 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
1.
Sadeghi, Javad, et al.. (2024). Aquatic Bacterial Community Connectivity: The Effect of Hydrological Flow on Community Diversity and Composition. Environments. 11(5). 90–90. 1 indexed citations
2.
Sadeghi, Javad, Abdolrazagh Hashemi Shahraki, Subba Rao Chaganti, & Daniel D. Heath. (2023). Functional gene transcription variation in bacterial metatranscriptomes in large freshwater Lake Ecosystems: Implications for ecosystem and human health. Environmental Research. 231(Pt 3). 116298–116298. 1 indexed citations
3.
Sadeghi, Javad, Subba Rao Chaganti, & Daniel D. Heath. (2023). Regulation of host gene expression by gastrointestinal tract microbiota in Chinook Salmon (Oncorhynchus tshawytscha). Molecular Ecology. 32(15). 4427–4446. 11 indexed citations
4.
Turko, Andy J., et al.. (2022). Acute thermal stress elicits interactions between gene expression and alternative splicing in a fish of conservation concern. Journal of Experimental Biology. 225(12). 13 indexed citations
5.
Chaganti, Subba Rao, Abdolrazagh Hashemi Shahraki, Adrian A. Vasquez, et al.. (2022). Variation in the diversity of bacterial communities and potential sources of fecal contamination of beaches in the Huron to Erie corridor. Water Research. 222. 118913–118913. 1 indexed citations
6.
7.
Walter, Ryan P., et al.. (2021). Spatial and temporal genetic variation in an exploited reef fish: The effects of exploitation on cohort genetic structure. Evolutionary Applications. 14(5). 1286–1300. 5 indexed citations
8.
Chaganti, Subba Rao, et al.. (2020). Metabarcoding of native and invasive species in stomach contents of Great Lakes fishes. PLoS ONE. 15(8). e0236077–e0236077. 13 indexed citations
9.
Johansson, Mattias L., et al.. (2020). Detecting a spreading non-indigenous species using multiple methodologies. Lake and Reservoir Management. 36(4). 432–443. 6 indexed citations
10.
Heath, Daniel D., et al.. (2019). Using environmental DNA metabarcoding to map invasive and native invertebrates in two Great Lakes tributaries. Environmental DNA. 2(3). 283–297. 20 indexed citations
11.
Johansson, Mattias L., et al.. (2018). Human-mediated and natural dispersal of an invasive fish in the eastern Great Lakes. Heredity. 120(6). 533–546. 24 indexed citations
12.
13.
Johansson, Mattias L., Subba Rao Chaganti, Nathalie Simard, et al.. (2017). Attenuation and modification of the ballast water microbial community during voyages into the Canadian Arctic. Diversity and Distributions. 23(5). 567–576. 8 indexed citations
14.
Wellband, Kyle W., John W. Heath, & Daniel D. Heath. (2017). Environmental and genetic determinants of transcriptional plasticity in Chinook salmon. Heredity. 120(1). 38–50. 12 indexed citations
15.
He, Xiaoping, Subba Rao Chaganti, & Daniel D. Heath. (2017). Population-Specific Responses to Interspecific Competition in the Gut Microbiota of Two Atlantic Salmon (Salmo salar) Populations. Microbial Ecology. 75(1). 140–151. 23 indexed citations
16.
Hogan, J. Derek, et al.. (2016). Kin-Aggregations Explain Chaotic Genetic Patchiness, a Commonly Observed Genetic Pattern, in a Marine Fish. PLoS ONE. 11(4). e0153381–e0153381. 41 indexed citations
17.
18.
Roy, Denis, Dave Kelly, Charles H. J. M. Fransen, Daniel D. Heath, & G. Douglas Haffner. (2006). Evidence of small-scale vicariance in Caridina lanceolata (Decapoda: Atyidae) from the Malili Lakes, Sulawesi. Evolutionary ecology research. 8(6). 10879. 18 indexed citations
19.
Therriault, Thomas W., Margaret F. Docker, М. И. Орлова, Daniel D. Heath, & Hugh J. MacIsaac. (2003). Molecular resolution of the family Dreissenidae (Mollusca: Bivalvia) with emphasis on Ponto-Caspian species, including first report of Mytilopsis leucophaeata in the Black Sea basin. Molecular Phylogenetics and Evolution. 30(3). 479–489. 98 indexed citations
20.
Heath, Daniel D., et al.. (2000). Survival and growth of mussels subsequent to hemolymph sampling for DNA. Journal of Shellfish Research. 19(2). 991. 8 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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