Daniel J. Bain

3.8k total citations
111 papers, 2.8k citations indexed

About

Daniel J. Bain is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Daniel J. Bain has authored 111 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 28 papers in Atmospheric Science and 27 papers in Environmental Engineering. Recurrent topics in Daniel J. Bain's work include Urban Stormwater Management Solutions (18 papers), Heavy metals in environment (17 papers) and Geology and Paleoclimatology Research (17 papers). Daniel J. Bain is often cited by papers focused on Urban Stormwater Management Solutions (18 papers), Heavy metals in environment (17 papers) and Geology and Paleoclimatology Research (17 papers). Daniel J. Bain collaborates with scholars based in United States, China and Australia. Daniel J. Bain's co-authors include Emily M. Elliott, Byron A. Steinman, Aubrey L. Hillman, Grace S. Brush, Bryan G. Mark, Richard V. Pouyat, David P. Pompeani, Mark B. Abbott, Peter M. Groffman and Kenneth T. Belt and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Daniel J. Bain

107 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Bain United States 28 771 710 611 455 437 111 2.8k
Markus Bill United States 26 436 0.6× 461 0.6× 524 0.9× 286 0.6× 218 0.5× 70 2.3k
Jun Zhou China 39 844 1.1× 755 1.1× 876 1.4× 262 0.6× 374 0.9× 293 5.5k
Gang Liu China 38 760 1.0× 812 1.1× 1.3k 2.2× 557 1.2× 970 2.2× 291 5.4k
Sophie Ayrault France 33 353 0.5× 548 0.8× 605 1.0× 245 0.5× 452 1.0× 114 3.1k
Ping Wang China 41 1.2k 1.5× 1.4k 2.0× 764 1.3× 740 1.6× 1.0k 2.4× 329 5.3k
Evelyn S. Krull Australia 35 1.1k 1.4× 616 0.9× 1.4k 2.2× 274 0.6× 364 0.8× 65 6.4k
Roberto Urrutia Chile 36 1.7k 2.2× 492 0.7× 818 1.3× 310 0.7× 670 1.5× 145 4.3k
Chen Zeng China 25 480 0.6× 280 0.4× 406 0.7× 344 0.8× 614 1.4× 79 2.3k
Jianfeng Peng China 32 851 1.1× 868 1.2× 402 0.7× 196 0.4× 738 1.7× 134 4.0k
Hao Yang China 36 535 0.7× 755 1.1× 986 1.6× 346 0.8× 894 2.0× 233 4.6k

Countries citing papers authored by Daniel J. Bain

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Bain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Bain. 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 Daniel J. Bain. The network helps show where Daniel J. Bain may publish in the future.

Co-authorship network of co-authors of Daniel J. Bain

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Bain. A scholar is included among the top collaborators of Daniel J. Bain 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 Daniel J. Bain. Daniel J. Bain 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
2.
Toran, Laura, et al.. (2025). Evaluating Trends Using Total Impervious Cover as a Metric for Degree of Urbanisation. Hydrological Processes. 39(8). 1 indexed citations
3.
4.
Bain, Daniel J., et al.. (2024). Impact of native vegetation and soil moisture dynamics on evapotranspiration in green roof systems. The Science of The Total Environment. 952. 175747–175747. 4 indexed citations
5.
Mackey, Justin, Daniel J. Bain, Greg Lackey, et al.. (2024). Estimates of lithium mass yields from produced water sourced from the Devonian-aged Marcellus Shale. Scientific Reports. 14(1). 8813–8813. 10 indexed citations
6.
Bain, Daniel J., et al.. (2023). The role of dietary magnesium deficiency in inflammatory hypertension. Frontiers in Physiology. 14. 1167904–1167904. 11 indexed citations
7.
Bain, Daniel J., et al.. (2023). Metal accumulation patterns in Pittsburgh, PA (United States) green infrastructure soils: road connections and legacy soil inputs. Frontiers in Environmental Science. 11. 1 indexed citations
8.
Chen, Yuang, Yixian Huang, Zhangyi Luo, et al.. (2022). Targeting Xkr8 via nanoparticle-mediated in situ co-delivery of siRNA and chemotherapy drugs for cancer immunochemotherapy. Nature Nanotechnology. 18(2). 193–204. 87 indexed citations
9.
Bain, Daniel J., et al.. (2020). Kinetic consequences of the endogenous ligand to molybdenum in the DMSO reductase family: a case study with periplasmic nitrate reductase. JBIC Journal of Biological Inorganic Chemistry. 26(1). 13–28. 10 indexed citations
10.
Bain, Daniel J., et al.. (2019). Determining conventional and unconventional oil and gas well brines in natural sample II: Cation analyses with ICP-MS and ICP-OES. Journal of Environmental Science and Health Part A. 55(1). 11–23. 10 indexed citations
11.
Bain, Daniel J., et al.. (2019). Determining conventional and unconventional oil and gas well brines in natural samples I: Anion analysis with ion chromatography. Journal of Environmental Science and Health Part A. 55(1). 1–10. 11 indexed citations
12.
Phan, Thai T., J. Alexandra Hakala, & Daniel J. Bain. (2018). Influence of colloids on metal concentrations and radiogenic strontium isotopes in groundwater and oil and gas-produced waters. Applied Geochemistry. 95. 85–96. 15 indexed citations
13.
Kolb, Alexander, Patrick G. Needham, Christopher Szent-Györgyi, et al.. (2018). Select α-arrestins control cell-surface abundance of the mammalian Kir2.1 potassium channel in a yeast model. Journal of Biological Chemistry. 293(28). 11006–11021. 15 indexed citations
14.
Lipus, Daniel, Amit Vikram, Daniel E. Ross, et al.. (2017). Predominance and Metabolic Potential of Halanaerobium spp. in Produced Water from Hydraulically Fractured Marcellus Shale Wells. Applied and Environmental Microbiology. 83(8). 70 indexed citations
15.
Adams, Laura E., et al.. (2009). Simulating Forest Cover and Climate Change Impacts on Historic New England Runoff. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
16.
Rosenmeier, Michael F., et al.. (2008). Preliminary Results from Hydrologic Monitoring of Mill and Farm Ponds in Burgundy, France. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
17.
Merwade, Venkatesh, et al.. (2008). Hydro-climatological Impact of Century Long Drainage in Midwestern United States. AGU Fall Meeting Abstracts. 2008. 2 indexed citations
18.
Bain, Daniel J. & Thomas D. Bullen. (2005). Chromium isotope fractionation during oxidation of Cr(III) by manganese oxides. Geochimica et Cosmochimica Acta Supplement. 69(10). 27 indexed citations
19.
Schneuwly, Bernard & Daniel J. Bain. (1994). Mecanismes de regulació de les activitats textuals: Estratègies d'intervenció en les seqüències didàctiques. Archive ouverte UNIGE (University of Geneva). 2 indexed citations
20.
Bain, Daniel J. & Bernard Schneuwly. (1994). Mecanismes de regulació de les activitats textuals. 87–104. 1 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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