Eugene Massion

491 total citations
8 papers, 360 citations indexed

About

Eugene Massion is a scholar working on Environmental Chemistry, Ecology and Molecular Biology. According to data from OpenAlex, Eugene Massion has authored 8 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Chemistry, 3 papers in Ecology and 2 papers in Molecular Biology. Recurrent topics in Eugene Massion's work include Marine Toxins and Detection Methods (4 papers), Microbial Community Ecology and Physiology (3 papers) and Marine and coastal ecosystems (2 papers). Eugene Massion is often cited by papers focused on Marine Toxins and Detection Methods (4 papers), Microbial Community Ecology and Physiology (3 papers) and Marine and coastal ecosystems (2 papers). Eugene Massion collaborates with scholars based in United States and New Zealand. Eugene Massion's co-authors include Roman Marin, Scott Jensen, Christopher A. Scholin, Brent Roman, Jason Feldman, Dianne I. Greenfield, Christina M. Preston, James M. Birch, Douglas Pargett and Kevin Wheeler and has published in prestigious journals such as Environmental Microbiology, Oceanography and Limnology and Oceanography Methods.

In The Last Decade

Eugene Massion

8 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eugene Massion United States	7	226	167	119	112	40	8	360
Douglas Pargett United States	10	370 1.6×	197 1.2×	211 1.8×	116 1.0×	44 1.1×	14	549
Chris Scholin United States	14	350 1.5×	377 2.3×	235 2.0×	370 3.3×	33 0.8×	17	699
Benedetto Barone United States	14	259 1.1×	345 2.1×	74 0.6×	48 0.4×	8 0.2×	22	452
Mathilde Dugenne United States	11	145 0.6×	210 1.3×	41 0.3×	31 0.3×	8 0.2×	18	285
Panagiota‐Myrsini Chronopoulou United Kingdom	11	305 1.3×	144 0.9×	122 1.0×	141 1.3×	27 0.7×	15	487
Nicolas Gayet France	13	175 0.8×	134 0.8×	80 0.7×	92 0.8×	14 0.3×	26	331
Eva Rodriguez Alvarez Spain	10	185 0.8×	261 1.6×	41 0.3×	76 0.7×	9 0.2×	21	416
J Garcin France	9	246 1.1×	198 1.2×	77 0.6×	112 1.0×	13 0.3×	9	342
Hans‐Peter Grossart Germany	4	276 1.2×	129 0.8×	120 1.0×	67 0.6×	7 0.2×	4	315
B. O. Steinsbu Norway	8	180 0.8×	35 0.2×	95 0.8×	216 1.9×	9 0.2×	11	297

Countries citing papers authored by Eugene Massion

Since Specialization

Citations

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

Fields of papers citing papers by Eugene Massion

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Massion

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Massion. A scholar is included among the top collaborators of Eugene Massion 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 Eugene Massion. Eugene Massion 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

Scholin, Christopher A., James M. Birch, Scott Jensen, et al.. (2017). The Quest to Develop Ecogenomic Sensors: A 25-Year History of the Environmental Sample Processor (ESP) as a Case Study. Oceanography. 30(4). 100–113. 72 indexed citations

Preston, Christina M., Roman Marin, Scott Jensen, et al.. (2009). Near real‐time, autonomous detection of marine bacterioplankton on a coastal mooring in Monterey Bay, California, using rRNA‐targeted DNA probes. Environmental Microbiology. 11(5). 1168–1180. 53 indexed citations

Scholin, Christopher A., Gregory J. Doucette, Scott Jensen, et al.. (2009). Remote Detection of Marine Microbes, Small Invertebrates, Harmful Algae, and Biotoxins using the Environmental Sample Processor (ESP). Oceanography. 22(2). 158–167. 108 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

Greenfield, Dianne I., Roman Marin, Scott Jensen, et al.. (2006). Application of environmental sample processor (ESP) methodology for quantifying Pseudo‐nitzschia australis using ribosomal RNA‐targeted probes in sandwich and fluorescent in situ hybridization formats. Limnology and Oceanography Methods. 4(11). 426–435. 74 indexed citations

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

Moran, Kathryn, Eugene Massion, C. K. Paull, et al.. (2006). SCIMPI: A New Seafloor Observatory System. 59. 1–6. 3 indexed citations

Roman, Brent, et al.. (2005). The 2nd generation Environmental Sample Processor: Evolution of a robotic underwater biochemical laboratory. 1–9. 6 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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