Mark Ciesielski

549 total citations
9 papers, 168 citations indexed

About

Mark Ciesielski is a scholar working on Immunology, Global and Planetary Change and Infectious Diseases. According to data from OpenAlex, Mark Ciesielski has authored 9 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 3 papers in Global and Planetary Change and 2 papers in Infectious Diseases. Recurrent topics in Mark Ciesielski's work include Marine Bivalve and Aquaculture Studies (3 papers), Vibrio bacteria research studies (2 papers) and Biosensors and Analytical Detection (2 papers). Mark Ciesielski is often cited by papers focused on Marine Bivalve and Aquaculture Studies (3 papers), Vibrio bacteria research studies (2 papers) and Biosensors and Analytical Detection (2 papers). Mark Ciesielski collaborates with scholars based in United States, Mexico and Philippines. Mark Ciesielski's co-authors include Rachel T. Noble, Raúl González, Allison R. Larson, Hannah M. Thompson, Rachel Poretsky, Raul Piseaux‐Aillon, Md Ariful Islam Juel, David W. Kamp, Anna P. Lam and Paul Cheresh and has published in prestigious journals such as The Science of The Total Environment, Applied and Environmental Microbiology and Aquaculture.

In The Last Decade

Mark Ciesielski

7 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Ciesielski United States 4 97 71 50 25 16 9 168
Janvi Raval India 3 325 3.4× 156 2.2× 62 1.2× 15 0.6× 8 0.5× 4 380
Kyle Curtis United States 5 323 3.3× 202 2.8× 66 1.3× 12 0.5× 7 0.4× 9 380
Aditi Nag India 8 166 1.7× 77 1.1× 42 0.8× 7 0.3× 26 1.6× 14 253
Wakana Oishi Japan 8 223 2.3× 114 1.6× 37 0.7× 9 0.4× 5 0.3× 25 303
Francesca Cutrupi Italy 6 328 3.4× 155 2.2× 54 1.1× 26 1.0× 11 0.7× 8 390
Lauren Ward United States 6 381 3.9× 218 3.1× 74 1.5× 12 0.5× 9 0.6× 8 447
Laura Pighi Italy 8 203 2.1× 25 0.4× 24 0.5× 4 0.2× 5 0.3× 32 253
Jamie Mitchell United States 3 309 3.2× 196 2.8× 62 1.2× 12 0.5× 4 0.3× 5 341
Lorelay Mendoza Grijalva United States 4 345 3.6× 222 3.1× 82 1.6× 8 0.3× 9 0.6× 6 386
Ian Hosegood Australia 4 74 0.8× 27 0.4× 13 0.3× 21 0.8× 6 0.4× 6 115

Countries citing papers authored by Mark Ciesielski

Since Specialization
Citations

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

Fields of papers citing papers by Mark Ciesielski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Ciesielski. 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 Mark Ciesielski. The network helps show where Mark Ciesielski may publish in the future.

Co-authorship network of co-authors of Mark Ciesielski

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

All Works

9 of 9 papers shown
1.
Ben‐Horin, Tal, Corinne Audemard, Mark Ciesielski, et al.. (2025). Broodstock genetics, more than ploidy alone, explains oyster resilience at farm sites impacted by sudden unusual mortality syndrome. Aquaculture. 607. 742691–742691.
2.
Ciesielski, Mark, et al.. (2025). A suite of ddPCR assays targeting microbial pathogens for improved management of shellfish aquaculture. Applied and Environmental Microbiology. 91(4). e0214924–e0214924. 2 indexed citations
3.
Smith, Stephanie, et al.. (2025). Farmed oyster mortality follows consistent Vibrio community reorganization. mSystems. 10(10). e0107825–e0107825.
4.
Ben‐Horin, Tal, Mark Ciesielski, Jonathan Lucas, Rachel T. Noble, & Ami E. Wilbur. (2023). Pathology associated with summer oyster mortality in North Carolina. Aquaculture Reports. 34. 101901–101901. 3 indexed citations
5.
Koch, Clarissa M., Kishore R. Anekalla, Yuan‐Shih Hu, et al.. (2022). Influenza-Induced Activation of Recruited Alveolar Macrophages During the Early Inflammatory Phase Drives Lung Injury and Lethality. SSRN Electronic Journal. 1 indexed citations
6.
Barua, Visva Bharati, Md Ariful Islam Juel, A. Denene Blackwood, et al.. (2021). Tracking the temporal variation of COVID-19 surges through wastewater-based epidemiology during the peak of the pandemic: A six-month long study in Charlotte, North Carolina. The Science of The Total Environment. 814. 152503–152503. 36 indexed citations
7.
Ciesielski, Mark, et al.. (2021). Assessing sensitivity and reproducibility of RT-ddPCR and RT-qPCR for the quantification of SARS-CoV-2 in wastewater. Journal of Virological Methods. 297. 114230–114230. 68 indexed citations
8.
Kim, Seok-Jo, Paul Cheresh, Renea Jablonski, et al.. (2020). Mitochondrial 8-oxoguanine DNA glycosylase mitigates alveolar epithelial cell PINK1 deficiency, mitochondrial DNA damage, apoptosis, and lung fibrosis. American Journal of Physiology-Lung Cellular and Molecular Physiology. 318(5). L1084–L1096. 36 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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