Igrid R. Gregory

1.3k total citations
8 papers, 1.1k citations indexed

About

Igrid R. Gregory is a scholar working on Pollution, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Igrid R. Gregory has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pollution, 4 papers in Ecology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Igrid R. Gregory's work include Wastewater Treatment and Nitrogen Removal (7 papers), Water Treatment and Disinfection (3 papers) and Environmental DNA in Biodiversity Studies (3 papers). Igrid R. Gregory is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (7 papers), Water Treatment and Disinfection (3 papers) and Environmental DNA in Biodiversity Studies (3 papers). Igrid R. Gregory collaborates with scholars based in United States. Igrid R. Gregory's co-authors include Gary S. Sayler, Kevin Robinson, Hebe M. Dionisi, Gerda Harms, Alice C. Layton, Shawn A. Hawkins, Astrid Layton, Raymond D. Stapleton, Curtis A. Lajoie and A. J. Meyers and has published in prestigious journals such as Environmental Science & Technology, Applied and Environmental Microbiology and Journal of Microbiological Methods.

In The Last Decade

Igrid R. Gregory

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igrid R. Gregory United States 7 813 467 313 276 222 8 1.1k
Gerda Harms United States 10 853 1.0× 481 1.0× 301 1.0× 260 0.9× 226 1.0× 11 1.3k
Alejandro Palomo Denmark 16 901 1.1× 557 1.2× 332 1.1× 232 0.8× 218 1.0× 39 1.3k
Man Hu China 8 696 0.9× 417 0.9× 234 0.7× 143 0.5× 180 0.8× 11 956
Tawan Limpiyakorn Thailand 19 843 1.0× 395 0.8× 345 1.1× 249 0.9× 176 0.8× 51 1.2k
J.A.C. Schalk Netherlands 14 1.2k 1.5× 430 0.9× 428 1.4× 279 1.0× 487 2.2× 23 1.7k
Aviaja Anna Hansen Denmark 12 759 0.9× 452 1.0× 183 0.6× 295 1.1× 270 1.2× 18 1.2k
Ananda S. Bhattacharjee United States 14 824 1.0× 487 1.0× 222 0.7× 133 0.5× 264 1.2× 31 1.2k
Arda Gülay Denmark 13 628 0.8× 308 0.7× 316 1.0× 171 0.6× 165 0.7× 18 861
Alejandro Rodríguez–Sánchez Spain 24 1.3k 1.6× 466 1.0× 395 1.3× 410 1.5× 364 1.6× 54 1.6k
Francesca Petriglieri Denmark 14 632 0.8× 399 0.9× 127 0.4× 247 0.9× 206 0.9× 21 1.0k

Countries citing papers authored by Igrid R. Gregory

Since Specialization
Citations

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

Fields of papers citing papers by Igrid R. Gregory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igrid R. Gregory

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

All Works

8 of 8 papers shown
1.
Robinson, Kevin, Hebe M. Dionisi, Gerda Harms, et al.. (2003). Molecular assessment of ammonia- and nitrite-oxidizing bacteria in full-scale activated sludge wastewater treatment plants. Water Science & Technology. 48(8). 119–126. 24 indexed citations
2.
Dionisi, Hebe M., Gerda Harms, Alice C. Layton, et al.. (2003). Power Analysis for Real-Time PCR Quantification of Genes in Activated Sludge and Analysis of the Variability Introduced by DNA Extraction. Applied and Environmental Microbiology. 69(11). 6597–6604. 88 indexed citations
4.
Dionisi, Hebe M., Alice C. Layton, Gerda Harms, et al.. (2002). Quantification of Nitrosomonas oligotropha -Like Ammonia-Oxidizing Bacteria and Nitrospira spp. from Full-Scale Wastewater Treatment Plants by Competitive PCR. Applied and Environmental Microbiology. 68(1). 245–253. 379 indexed citations
5.
Harms, Gerda, Alice C. Layton, Hebe M. Dionisi, et al.. (2002). Real-Time PCR Quantification of Nitrifying Bacteria in a Municipal Wastewater Treatment Plant. Environmental Science & Technology. 37(2). 343–351. 427 indexed citations
6.
Layton, Astrid, Curtis A. Lajoie, A. J. Meyers, et al.. (2000). Quantification of Hyphomicrobium Populations in Activated Sludge from an Industrial Wastewater Treatment System as Determined by 16S rRNA Analysis. Applied and Environmental Microbiology. 66(3). 1167–1174. 96 indexed citations
7.
Layton, Astrid, Curtis A. Lajoie, A. J. Meyers, et al.. (2000). Quantification of Hyphomicrobium Populations in Activated Sludge from an Industrial Wastewater Treatment System as Determined by 16S rRNA Analysis. Applied and Environmental Microbiology. 66(11). 5106–5106. 1 indexed citations
8.
Stapleton, Raymond D., Steven Ripp, Luis Jiménez, et al.. (1998). Nucleic acid analytical approaches in bioremediation: site assessment and characterization. Journal of Microbiological Methods. 32(2). 165–178. 44 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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