Brian G. Rahm

1.8k total citations
25 papers, 1.4k citations indexed

About

Brian G. Rahm is a scholar working on Global and Planetary Change, Pollution and Ecology. According to data from OpenAlex, Brian G. Rahm has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 9 papers in Pollution and 6 papers in Ecology. Recurrent topics in Brian G. Rahm's work include Atmospheric and Environmental Gas Dynamics (9 papers), Microbial bioremediation and biosurfactants (6 papers) and Microbial Community Ecology and Physiology (3 papers). Brian G. Rahm is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (9 papers), Microbial bioremediation and biosurfactants (6 papers) and Microbial Community Ecology and Physiology (3 papers). Brian G. Rahm collaborates with scholars based in United States and United Kingdom. Brian G. Rahm's co-authors include Susan J. Riha, Ruth E. Richardson, Sungpyo Kim, Kartik Chandran, Krishna Pagilla, Joon Ho Ahn, Hongkeun Park, Robert M. Morris, David Yoxtheimer and Josephine T. Bates and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Applied and Environmental Microbiology.

In The Last Decade

Brian G. Rahm

25 papers receiving 1.4k citations

Peers

Brian G. Rahm

POLLU

GPC

HTM

ECOLO

James S. Bonner United States

Liping Wang China

D.H. Kampbell United States

Linda Figueroa United States

Brijesh Kumar Yadav India

Christopher D. Knightes United States

Yeboah Gyasi‐Agyei Australia

Zhifeng Yang China

Matthew C. Reid United States

Piet Seuntjens Belgium

James S. Bonner United States

Brian G. Rahm

805 ×1.2

POLLU

131 ×0.3

GPC

132 ×0.4

440 ×1.5

HTM

177 ×0.7

ECOLO

Citations per year, relative to Brian G. Rahm Brian G. Rahm (= 1×) peers James S. Bonner

Countries citing papers authored by Brian G. Rahm

Since Specialization

Citations

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

Fields of papers citing papers by Brian G. Rahm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian G. Rahm. 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 Brian G. Rahm. The network helps show where Brian G. Rahm may publish in the future.

Co-authorship network of co-authors of Brian G. Rahm

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

All Works

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20 of 20 papers shown

Sethi, Suresh A., et al.. (2024). Social considerations for the removal of dams and other aquatic barriers. BioScience. 74(6). 393–404. 5 indexed citations

Weller, Daniel L., et al.. (2022). Structural Equation Models Suggest That On-Farm Noncrop Vegetation Removal Is Not Associated with Improved Food Safety Outcomes but Is Linked to Impaired Water Quality. Applied and Environmental Microbiology. 88(23). e0160022–e0160022. 5 indexed citations

Buchanan, Brian, Suresh A. Sethi, Patrick J. Sullivan, et al.. (2021). A machine learning approach to identify barriers in stream networks demonstrates high prevalence of unmapped riverine dams. Journal of Environmental Management. 302(Pt A). 113952–113952. 23 indexed citations

Knighton, James, Brian Buchanan, Christian D. Guzmán, et al.. (2020). Predicting flood insurance claims with hydrologic and socioeconomic demographics via machine learning: Exploring the roles of topography, minority populations, and political dissimilarity. Journal of Environmental Management. 272. 111051–111051. 36 indexed citations

Rahm, Brian G., et al.. (2018). Methane and nitrous oxide cycling microbial communities in soils above septic leach fields: Abundances with depth and correlations with net surface emissions. The Science of The Total Environment. 640-641. 429–441. 25 indexed citations

Rahm, Brian G., et al.. (2018). Is bigger better? Driving factors of POTW performance in New York. Water Research. 135. 134–143. 3 indexed citations

Jacquet, Jeffrey, Dylan Bugden, Kirk Jalbert, et al.. (2018). A decade of Marcellus Shale: Impacts to people, policy, and culture from 2008 to 2018 in the Greater Mid-Atlantic region of the United States. The Extractive Industries and Society. 5(4). 596–609. 40 indexed citations

Rahm, Brian G., et al.. (2016). Greenhouse Gas Emissions from Septic Systems in New York State. Journal of Environmental Quality. 45(4). 1153–1160. 31 indexed citations

Rahm, Brian G., et al.. (2015). Shale gas operator violations in the Marcellus and what they tell us about water resource risks. Energy Policy. 82. 1–11. 31 indexed citations

10.

McPhillips, Lauren, Anne Elise Creamer, Brian G. Rahm, & M. Todd Walter. (2014). Assessing dissolved methane patterns in central New York groundwater. Journal of Hydrology Regional Studies. 1. 57–73. 37 indexed citations

11.

Rahm, Brian G. & Susan J. Riha. (2014). Evolving shale gas management: water resource risks, impacts, and lessons learned. Environmental Science Processes & Impacts. 16(6). 1400–1412. 72 indexed citations

12.

Rahm, Brian G., et al.. (2013). A watershed-scale goals approach to assessing and funding wastewater infrastructure. Journal of Environmental Management. 129. 124–133. 12 indexed citations

13.

Rahm, Brian G., et al.. (2013). Wastewater management and Marcellus Shale gas development: Trends, drivers, and planning implications. Journal of Environmental Management. 120. 105–113. 148 indexed citations

14.

Rahm, Brian G. & Susan J. Riha. (2012). Toward strategic management of shale gas development: Regional, collective impacts on water resources. Environmental Science & Policy. 17. 12–23. 148 indexed citations

15.

Werner, Jeffrey J., Anna Ptak, Brian G. Rahm, Sheng Zhang, & Ruth E. Richardson. (2009). Absolute quantification of Dehalococcoides proteins: enzyme bioindicators of chlorinated ethene dehalorespiration. Environmental Microbiology. 11(10). 2687–2697. 33 indexed citations

16.

Rahm, Brian G. & Ruth E. Richardson. (2008). Dehalococcoides’ Gene Transcripts As Quantitative Bioindicators of Tetrachloroethene, Trichloroethene, and cis-1,2-Dichloroethene Dehalorespiration Rates. Environmental Science & Technology. 42(14). 5099–5105. 40 indexed citations

17.

Rahm, Brian G. & Ruth E. Richardson. (2007). Correlation of Respiratory Gene Expression Levels and Pseudo-Steady-State PCE Respiration Rates in Dehalococcoides ethenogenes. Environmental Science & Technology. 42(2). 416–421. 46 indexed citations

18.

Rahm, Brian G., Sadhana Chauhan, Victor F. Holmes, et al.. (2006). Molecular characterization of microbial populations at two sites with differing reductive dechlorination abilities. Biodegradation. 17(6). 523–534. 55 indexed citations

19.

West, Kimberlee A., Vishvesh K. Bhupathiraju, Sadhana Chauhan, et al.. (2005). Phylogenetic Analysis of TCE-Dechlorinating Consortia Enriched on a Variety of Electron Donors. Environmental Science & Technology. 39(21). 8358–8368. 103 indexed citations

20.

Rossi, Alexandre, T. Kent Kirk, Kent S. Sorenson, et al.. (2004). Phased in situ biostimulation/bioaugmentation pilot testing in a coastal aquifer.. 2 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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