Stephen R. Pacella

454 total citations
8 papers, 299 citations indexed

About

Stephen R. Pacella is a scholar working on Oceanography, Global and Planetary Change and Ecology. According to data from OpenAlex, Stephen R. Pacella has authored 8 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oceanography, 3 papers in Global and Planetary Change and 2 papers in Ecology. Recurrent topics in Stephen R. Pacella's work include Ocean Acidification Effects and Responses (5 papers), Marine Biology and Ecology Research (4 papers) and Marine Bivalve and Aquaculture Studies (3 papers). Stephen R. Pacella is often cited by papers focused on Ocean Acidification Effects and Responses (5 papers), Marine Biology and Ecology Research (4 papers) and Marine Bivalve and Aquaculture Studies (3 papers). Stephen R. Pacella collaborates with scholars based in United States, Canada and France. Stephen R. Pacella's co-authors include Cheryl Brown, George G. Waldbusser, B. R. Hales, Rochelle G. Labiosa, Nathalie Niquil, Blanche Saint‐Béat, Ragnhild Asmus, Harald Asmus, D. Baird and Cédric Bacher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Ecological Indicators and Ecological Modelling.

In The Last Decade

Stephen R. Pacella

7 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen R. Pacella United States	5	179	161	140	43	19	8	299
Luca Rindi Italy	10	142 0.8×	184 1.1×	122 0.9×	23 0.5×	36 1.9×	22	306
Ghassen Halouani France	12	252 1.4×	53 0.3×	325 2.3×	20 0.5×	56 2.9×	22	393
Anna‐Leena Downie United Kingdom	12	270 1.5×	209 1.3×	197 1.4×	10 0.2×	47 2.5×	17	402
Heather N. Page United States	10	324 1.8×	462 2.9×	312 2.2×	17 0.4×	10 0.5×	15	522
Emyr Martyn Roberts Norway	9	170 0.9×	139 0.9×	87 0.6×	8 0.2×	12 0.6×	19	275
Tiia Möller Estonia	10	214 1.2×	235 1.5×	115 0.8×	6 0.1×	18 0.9×	17	351
Weimin Jiang New Zealand	10	167 0.9×	108 0.7×	205 1.5×	18 0.4×	48 2.5×	12	335
Camilla Sguotti Germany	11	143 0.8×	64 0.4×	281 2.0×	25 0.6×	107 5.6×	20	351
Milica Stankovic Thailand	11	315 1.8×	278 1.7×	75 0.5×	8 0.2×	11 0.6×	21	387
Charles W. Menza United States	7	312 1.7×	136 0.8×	222 1.6×	11 0.3×	57 3.0×	20	361

Countries citing papers authored by Stephen R. Pacella

Since Specialization

Citations

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

Fields of papers citing papers by Stephen R. Pacella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen R. Pacella. 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 Stephen R. Pacella. The network helps show where Stephen R. Pacella may publish in the future.

Co-authorship network of co-authors of Stephen R. Pacella

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

All Works

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8 of 8 papers shown

Pacella, Stephen R., Cheryl Brown, James E. Kaldy, et al.. (2024). Quantifying the combined impacts of anthropogenic CO2 emissions and watershed alteration on estuary acidification at biologically-relevant time scales: a case study from Tillamook Bay, OR, USA. Frontiers in Marine Science. 11. 1293955–1293955. 2 indexed citations

Pacella, Stephen R., Cheryl Brown, Rochelle G. Labiosa, et al.. (2024). Feedbacks Between Estuarine Metabolism and Anthropogenic CO₂ Accelerate Local Rates of Ocean Acidification and Hasten Threshold Exceedances. Journal of Geophysical Research Oceans. 129(3). 2 indexed citations

Rosenau, Nicholas A., Kimberly K. Yates, Curtis Bohlen, et al.. (2021). Integrating High-Resolution Coastal Acidification Monitoring Data Across Seven United States Estuaries. Frontiers in Marine Science. 8. 1–679913. 9 indexed citations

Bohlen, Curtis, Christopher W Hunt, Xinping Hu, et al.. (2021). Measuring coastal acidification using in situ sensors in the National Estuary Program.

Niquil, Nathalie, Matilda Haraldsson, Ragnhild Asmus, et al.. (2020). Quantitative food web modeling unravels the importance of the microphytobenthos-meiofauna pathway for a high trophic transfer by meiofauna in soft-bottom intertidal food webs.. Ecological Modelling. 430. 109129–109129. 17 indexed citations

Pacella, Stephen R., Cheryl Brown, George G. Waldbusser, Rochelle G. Labiosa, & B. R. Hales. (2018). Seagrass habitat metabolism increases short-term extremes and long-term offset of CO ₂ under future ocean acidification. Proceedings of the National Academy of Sciences. 115(15). 3870–3875. 108 indexed citations

Saint‐Béat, Blanche, D. Baird, Harald Asmus, et al.. (2015). Trophic networks: How do theories link ecosystem structure and functioning to stability properties? A review. Ecological Indicators. 52. 458–471. 136 indexed citations

Pacella, Stephen R., Benoît Lebreton, Pierre Richard, et al.. (2013). Incorporation of diet information derived from Bayesian stable isotope mixing models into mass-balanced marine ecosystem models: A case study from the Marennes-Oléron Estuary, France. Ecological Modelling. 267. 127–137. 25 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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