Stephen M. Techtmann

2.0k total citations
57 papers, 1.3k citations indexed

About

Stephen M. Techtmann is a scholar working on Pollution, Molecular Biology and Ecology. According to data from OpenAlex, Stephen M. Techtmann has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pollution, 24 papers in Molecular Biology and 22 papers in Ecology. Recurrent topics in Stephen M. Techtmann's work include Microbial Community Ecology and Physiology (21 papers), Microbial bioremediation and biosurfactants (13 papers) and Genomics and Phylogenetic Studies (11 papers). Stephen M. Techtmann is often cited by papers focused on Microbial Community Ecology and Physiology (21 papers), Microbial bioremediation and biosurfactants (13 papers) and Genomics and Phylogenetic Studies (11 papers). Stephen M. Techtmann collaborates with scholars based in United States, United Kingdom and China. Stephen M. Techtmann's co-authors include Terry C. Hazen, Frank T. Robb, Albert S. Colman, Julian L. Fortney, Dominique C. Joyner, Robyn N. Conmy, Susan M. Pfiffner, Pablo Campo, Andrea M. Rocha and Jorge W. Santo Domingo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Stephen M. Techtmann

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen M. Techtmann United States 21 484 457 446 189 128 57 1.3k
Christopher E. Bagwell United States 21 771 1.6× 381 0.8× 311 0.7× 209 1.1× 59 0.5× 42 1.3k
Xing-pan Guo China 20 445 0.9× 287 0.6× 870 2.0× 152 0.8× 79 0.6× 47 1.5k
Renata Denaro Italy 24 838 1.7× 422 0.9× 1.0k 2.3× 285 1.5× 101 0.8× 44 1.7k
Francesco Smedile Italy 20 735 1.5× 449 1.0× 360 0.8× 323 1.7× 59 0.5× 43 1.2k
Huan Wang China 21 379 0.8× 222 0.5× 503 1.1× 203 1.1× 79 0.6× 111 1.6k
Lijuan Yan China 17 451 0.9× 363 0.8× 213 0.5× 157 0.8× 53 0.4× 66 1.3k
Shijie Bai China 17 555 1.1× 291 0.6× 204 0.5× 316 1.7× 66 0.5× 56 1.1k
Deepak Kumaresan United Kingdom 19 634 1.3× 443 1.0× 186 0.4× 291 1.5× 73 0.6× 53 1.3k

Countries citing papers authored by Stephen M. Techtmann

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Techtmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen M. Techtmann

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

All Works

20 of 20 papers shown
1.
Techtmann, Stephen M., et al.. (2025). Spatial Heterogeneity of Nitrogen Fixation and Denitrification in Streams. Ecosystems. 28(2).
2.
Hazen, Terry C., et al.. (2025). Diversity and Distribution of Hydrocarbon-Degrading Genes in the Cold Seeps from the Mediterranean and Caspian Seas. Microorganisms. 13(2). 222–222. 2 indexed citations
3.
Techtmann, Stephen M., et al.. (2024). Pilot plant study on manganese bioleaching using biomass decomposition products as a nutrient source and electrolysis for oxide precipitation. Hydrometallurgy. 232. 106430–106430. 3 indexed citations
4.
5.
Byrne, Emma, Daniel Kulas, Ali Zolghadr, et al.. (2023). Coexistence of specialist and generalist species within mixed plastic derivative-utilizing microbial communities. Microbiome. 11(1). 224–224. 15 indexed citations
6.
Wood, Emily, Muhammad Aamir Bashir, Hyeonseok Lee, et al.. (2023). Versatile microbial communities rapidly assimilate ammonium hydroxide-treated plastic waste. Journal of Industrial Microbiology & Biotechnology. 50(1). 9 indexed citations
7.
Kulas, Daniel, et al.. (2023). Deconstructed Plastic Substrate Preferences of Microbial Populations from the Natural Environment. Microbiology Spectrum. 11(4). e0036223–e0036223. 8 indexed citations
8.
Pearce, Joshua M., et al.. (2022). Killing two birds with one stone: chemical and biological upcycling of polyethylene terephthalate plastics into food. Trends in biotechnology. 41(2). 184–196. 32 indexed citations
9.
Kulas, Daniel, et al.. (2022). Pyrolysis-Aided Microbial Biodegradation of High-Density Polyethylene Plastic by Environmental Inocula Enrichment Cultures. ACS Sustainable Chemistry & Engineering. 10(6). 2022–2033. 25 indexed citations
10.
Techtmann, Stephen M., et al.. (2021). Evaluating the Impact of Hydraulic Fracturing on Streams using Microbial Molecular Signatures. Journal of Visualized Experiments. 1 indexed citations
11.
Techtmann, Stephen M., et al.. (2021). Codon usage bias and dinucleotide preference in 29 Drosophila species. G3 Genes Genomes Genetics. 11(8). 10 indexed citations
12.
13.
Wang, Renjun, et al.. (2019). Gut Microbiota and Short Chain Fatty Acids: Influence on the Autonomic Nervous System. Neuroscience Bulletin. 36(1). 91–95. 39 indexed citations
14.
Campa, Maria Fernanda, et al.. (2019). Unconventional Oil and Gas Energy Systems: An Unidentified Hotspot of Antimicrobial Resistance?. Frontiers in Microbiology. 10. 2392–2392. 15 indexed citations
15.
Chen, Chunyi, Gang Pan, Wenqing Shi, et al.. (2018). Clay Flocculation Effect on Microbial Community Composition in Water and Sediment. Frontiers in Environmental Science. 6. 9 indexed citations
16.
Ribičić, Deni, Roman Netzer, Terry C. Hazen, et al.. (2018). Microbial community and metagenome dynamics during biodegradation of dispersed oil reveals potential key-players in cold Norwegian seawater. Marine Pollution Bulletin. 129(1). 370–378. 75 indexed citations
17.
Olesen, Scott W., Suhani Vora, Stephen M. Techtmann, et al.. (2016). A Novel Analysis Method for Paired-Sample Microbial Ecology Experiments. PLoS ONE. 11(5). e0154804–e0154804. 7 indexed citations
18.
Techtmann, Stephen M., Alexander V. Lebedinsky, Albert S. Colman, et al.. (2012). Evidence for Horizontal Gene Transfer of Anaerobic Carbon Monoxide Dehydrogenases. Frontiers in Microbiology. 3. 132–132. 72 indexed citations
19.
Hazen, Terry C., Andrea M. Rocha, & Stephen M. Techtmann. (2012). Advances in monitoring environmental microbes. Current Opinion in Biotechnology. 24(3). 526–533. 52 indexed citations
20.
Techtmann, Stephen M., Albert S. Colman, Michael Murphy, et al.. (2011). Regulation of Multiple Carbon Monoxide Consumption Pathways in Anaerobic Bacteria. Frontiers in Microbiology. 2. 147–147. 17 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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