Chris Scholin

919 total citations
17 papers, 699 citations indexed

About

Chris Scholin is a scholar working on Oceanography, Ecology and Environmental Chemistry. According to data from OpenAlex, Chris Scholin has authored 17 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oceanography, 8 papers in Ecology and 8 papers in Environmental Chemistry. Recurrent topics in Chris Scholin's work include Marine Toxins and Detection Methods (8 papers), Microbial Community Ecology and Physiology (6 papers) and Marine and coastal ecosystems (6 papers). Chris Scholin is often cited by papers focused on Marine Toxins and Detection Methods (8 papers), Microbial Community Ecology and Physiology (6 papers) and Marine and coastal ecosystems (6 papers). Chris Scholin collaborates with scholars based in United States, New Zealand and Denmark. Chris Scholin's co-authors include Lesley Rhodes, Kerstin Hoef‐Emden, Nina Lundholm, Yuichi Kotaki, Peter E. Miller, Øjvind Moestrup, Roman Marin, Ian Garthwaite, Laurie B. Connell and Ger van den Engh and has published in prestigious journals such as The Science of The Total Environment, Limnology and Oceanography and Frontiers in Microbiology.

In The Last Decade

Chris Scholin

16 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Scholin United States	14	377	370	350	235	67	17	699
Hong Chang Lim Malaysia	16	422 1.1×	584 1.6×	344 1.0×	320 1.4×	91 1.4×	37	777
Murielle M. LeGresley Canada	11	371 1.0×	251 0.7×	382 1.1×	219 0.9×	56 0.8×	15	627
Dianne I. Greenfield United States	15	404 1.1×	340 0.9×	355 1.0×	139 0.6×	8 0.1×	34	736
Normawaty Mohammad‐Noor Malaysia	12	409 1.1×	428 1.2×	208 0.6×	168 0.7×	18 0.3×	25	599
Cécile Jauzein France	18	565 1.5×	432 1.2×	287 0.8×	134 0.6×	9 0.1×	34	805
Jae Hoon Noh South Korea	17	550 1.5×	154 0.4×	502 1.4×	304 1.3×	58 0.9×	66	916
Zhaohe Luo China	19	604 1.6×	575 1.6×	456 1.3×	401 1.7×	22 0.3×	71	902
Nagore Sampedro Spain	15	440 1.2×	443 1.2×	260 0.7×	246 1.0×	9 0.1×	28	640
G. B. J. Dubelaar Netherlands	11	365 1.0×	107 0.3×	303 0.9×	140 0.6×	17 0.3×	18	637
Shoko Hosoi‐Tanabe Japan	13	252 0.7×	310 0.8×	343 1.0×	245 1.0×	26 0.4×	21	550

Countries citing papers authored by Chris Scholin

Since Specialization

Citations

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

Fields of papers citing papers by Chris Scholin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Scholin

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Scholin, Chris. (2025). Oceanography in the Age of Intelligent Robots and a Changing Climate. Oceanography. 38(3).

Królicka, Adriana, et al.. (2019). Identification of microbial key-indicators of oil contamination at sea through tracking of oil biotransformation: An Arctic field and laboratory study. The Science of The Total Environment. 696. 133715–133715. 23 indexed citations

Seegers, Bridget N., James M. Birch, Roman Marin, et al.. (2015). Subsurface seeding of surface harmful algal blooms observed through the integration of autonomous gliders, moored environmental sample processors, and satellite remote sensing in southern California. Limnology and Oceanography. 60(3). 754–764. 52 indexed citations

Caron, David A., Alyssa G. Gellene, J. L. Smith, et al.. (2015). Response of phytoplankton and bacterial biomass during a wastewater effluent diversion into nearshore coastal waters. Estuarine Coastal and Shelf Science. 186. 223–236. 26 indexed citations

Saito, Mak A., Vladimir V. Bulygin, Dawn M. Moran, Craig D. Taylor, & Chris Scholin. (2011). Examination of Microbial Proteome Preservation Techniques Applicable to Autonomous Environmental Sample Collection. Frontiers in Microbiology. 2. 215–215. 47 indexed citations

Harvey, Julio B.J., John P. Ryan, Roman Marin, et al.. (2011). Robotic sampling, in situ monitoring and molecular detection of marine zooplankton. Journal of Experimental Marine Biology and Ecology. 413. 60–70. 45 indexed citations

Zehr, Jonathan P., Julie Robidart, & Chris Scholin. (2011). Marine Microorganisms, Biogeochemical Cycles, and Global Climate Change. Microbe Magazine. 6(4). 169–175. 3 indexed citations

Greenfield, Dianne I., Roman Marin, Gregory J. Doucette, et al.. (2008). Field applications of the second‐generation Environmental Sample Processor (ESP) for remote detection of harmful algae: 2006‐2007. Limnology and Oceanography Methods. 6(12). 667–679. 63 indexed citations

Roman, Brent, Chris Scholin, Scott Jensen, et al.. (2007). Controlling a Robotic Marine Environmental Sampler with the Ruby Scripting Language. JALA Journal of the Association for Laboratory Automation. 12(1). 56–61. 19 indexed citations

10.

Paul, John H., Chris Scholin, Ger van den Engh, & Mary Jane Perry. (2007). In Situ Instrumentation. Oceanography. 20(2). 70–78. 43 indexed citations

11.

Lundholm, Nina, Øjvind Moestrup, Yuichi Kotaki, et al.. (2006). INTER‐ AND INTRASPECIFIC VARIATION OF THE PSEUDO‐NITZSCHIA DELICATISSIMA COMPLEX (BACILLARIOPHYCEAE) ILLUSTRATED BY RRNA PROBES, MORPHOLOGICAL DATA AND PHYLOGENETIC ANALYSES¹. Journal of Phycology. 42(2). 464–481. 179 indexed citations

12.

Scholin, Chris, Scott Jensen, Brent Roman, et al.. (2006). The Environmental Sample Processor (ESP) ¿ An Autonomous Robotic Device for Detecting Microorganisms Remotely using Molecular Probe Technology. 1–4. 25 indexed citations

13.

Ayers, Katie, et al.. (2005). International accreditation of sandwich hybridisation assay format DNA probes for micro‐algae. New Zealand Journal of Marine and Freshwater Research. 39(6). 1225–1231. 35 indexed citations

14.

Connell, Laurie B., et al.. (2002). Monitoring for Heterosigma akashiwo using a sandwich hybridization assay. Harmful Algae. 1(2). 205–214. 52 indexed citations

15.

Rhodes, Lesley, Janet Adamson, & Chris Scholin. (2000). Pseudo‐nitzschia multistriata (Bacillariophyceae) in New Zealand. New Zealand Journal of Marine and Freshwater Research. 34(3). 463–467. 27 indexed citations

16.

Rhodes, Lesley, Chris Scholin, & Ian Garthwaite. (1998). Pseudo-nitzschia in New Zealand and the role of DNA probes and immunoassays in refining marine biotoxin monitoring programmes. Natural Toxins. 6(3-4). 105–111. 57 indexed citations

17.

Rhodes, Lesley E., Chris Scholin, & Ian Garthwaite. (1998). Pseudonitzschia in New Zealand and the role of DNA probes and immunoassays in refining marine biotoxin monitoring programmes. Natural Toxins. 6(34). 105–111. 3 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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