James S. Webber

677 total citations
39 papers, 519 citations indexed

About

James S. Webber is a scholar working on Pulmonary and Respiratory Medicine, Water Science and Technology and Environmental Chemistry. According to data from OpenAlex, James S. Webber has authored 39 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 14 papers in Water Science and Technology and 8 papers in Environmental Chemistry. Recurrent topics in James S. Webber's work include Occupational and environmental lung diseases (14 papers), Hydrology and Watershed Management Studies (8 papers) and Soil and Water Nutrient Dynamics (7 papers). James S. Webber is often cited by papers focused on Occupational and environmental lung diseases (14 papers), Hydrology and Watershed Management Studies (8 papers) and Soil and Water Nutrient Dynamics (7 papers). James S. Webber collaborates with scholars based in United States and China. James S. Webber's co-authors include Jeffrey G. Chanat, Liaquat Husain, Scott W. Ator, Joel D. Blomquist, Vincent A. Dutkiewicz, Tony Ward, Douglas Moyer, Judith A. Halstead, Qian Zhang and Jean C. Pfau and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Analytical Chemistry.

In The Last Decade

James S. Webber

39 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James S. Webber United States 13 143 123 110 103 102 39 519
Amanda E. Kahn United States 10 74 0.5× 80 0.7× 70 0.6× 55 0.5× 68 0.7× 29 751
Michele Paternoster Italy 20 55 0.4× 93 0.8× 110 1.0× 91 0.9× 40 0.4× 48 910
Zhen Xia China 16 144 1.0× 44 0.4× 224 2.0× 160 1.6× 87 0.9× 34 684
Andrew Finlayson United Kingdom 17 39 0.3× 62 0.5× 102 0.9× 681 6.6× 50 0.5× 50 925
David G. Buck United States 13 317 2.2× 27 0.2× 60 0.5× 72 0.7× 35 0.3× 21 647
Dongqi Zhang China 15 80 0.6× 34 0.3× 24 0.2× 629 6.1× 293 2.9× 40 729
Birgit Hagedorn United States 19 64 0.4× 14 0.1× 119 1.1× 530 5.1× 51 0.5× 41 930
Ramesh Kumar India 16 114 0.8× 215 1.7× 25 0.2× 402 3.9× 334 3.3× 53 883
Kalliopi Violaki Greece 17 404 2.8× 22 0.2× 95 0.9× 672 6.5× 269 2.6× 30 1.0k

Countries citing papers authored by James S. Webber

Since Specialization
Citations

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

Fields of papers citing papers by James S. Webber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Webber. 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 James S. Webber. The network helps show where James S. Webber may publish in the future.

Co-authorship network of co-authors of James S. Webber

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Webber. A scholar is included among the top collaborators of James S. Webber 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 James S. Webber. James S. Webber 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.
Webber, James S., et al.. (2024). Evaluating water‐quality trends in agricultural watersheds prioritized for management‐practice implementation. JAWRA Journal of the American Water Resources Association. 60(2). 305–330. 3 indexed citations
2.
Miller, Samuel A., et al.. (2023). Using high-frequency monitoring data to quantify city-wide suspended-sediment load and evaluate TMDL goals. Environmental Monitoring and Assessment. 195(11). 1372–1372. 3 indexed citations
3.
Webber, James S., et al.. (2023). Evaluating drivers of hydrology, water quality, and benthic macroinvertebrates in streams of Fairfax County, Virginia, 2007–18. Scientific investigations report. 4 indexed citations
4.
Hyer, Kenneth, Scott Phillips, Scott W. Ator, et al.. (2021). Nutrient trends and drivers in the Chesapeake Bay Watershed. Fact sheet. 4 indexed citations
5.
Noe, Gregory B., Matthew J. Cashman, Allen C. Gellis, et al.. (2020). Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA. Wiley Interdisciplinary Reviews Water. 7(4). 78 indexed citations
6.
Zhang, Qian, James S. Webber, Douglas Moyer, & Jeffrey G. Chanat. (2020). An approach for decomposing river water-quality trends into different flow classes. The Science of The Total Environment. 755(Pt 2). 143562–143562. 16 indexed citations
7.
Ator, Scott W., Joel D. Blomquist, James S. Webber, & Jeffrey G. Chanat. (2020). Factors driving nutrient trends in streams of the Chesapeake Bay watershed. Journal of Environmental Quality. 49(4). 812–834. 82 indexed citations
8.
Ward, Tony, et al.. (2012). Amphibole Asbestos in Tree Bark—A Review of Findings for This Inhalational Exposure Source in Libby, Montana. Journal of Occupational and Environmental Hygiene. 9(6). 387–397. 7 indexed citations
9.
Webber, James S., et al.. (2011). Libby Amphibole Contamination in Tree Bark Surrounding Historical Vermiculite Processing Facilities. The Mathematics Enthusiast. 2(8). 1062–1068. 2 indexed citations
10.
Webber, James S., David J. Blake, Tony Ward, & Jean C. Pfau. (2008). Separation and Characterization of Respirable Amphibole Fibers from Libby, Montana. Inhalation Toxicology. 20(8). 733–740. 26 indexed citations
11.
Webber, James S., et al.. (2007). Performance of Membrane Filters Used for TEM Analysis of Asbestos. Journal of Occupational and Environmental Hygiene. 4(10). 780–789. 11 indexed citations
12.
Ward, Tony, et al.. (2006). Trees as reservoirs for amphibole fibers in Libby, Montana. The Science of The Total Environment. 367(1). 460–465. 14 indexed citations
13.
Webber, James S., et al.. (2006). Evidence and Reconstruction of Airborne Asbestos From Unconventional Environmental Samples. Inhalation Toxicology. 18(12). 969–973. 3 indexed citations
14.
Webber, James S., Kenneth W. Jackson, Pravin P. Parekh, & Richard F. Bopp. (2003). Reconstruction of a Century of Airborne Asbestos Concentrations. Environmental Science & Technology. 38(3). 707–714. 7 indexed citations
15.
Semkow, Thomas M., et al.. (1994). Efficiency of the Lucas scintillation cell. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 353(1-3). 515–518. 19 indexed citations
16.
Webber, James S., et al.. (1990). Examining play sand products for asbestos contamination. Bulletin of Environmental Contamination and Toxicology. 45(4). 486–494. 1 indexed citations
17.
Webber, James S., et al.. (1989). Asbestos in Drinking Water Supplied Through Grossly Deteriorated A–C Pipe. American Water Works Association. 81(2). 80–85. 12 indexed citations
18.
Webber, James S., et al.. (1988). Asbestos-contaminated drinking water: Its impact on household air. Environmental Research. 46(2). 153–167. 20 indexed citations
19.
Husain, Liaquat, et al.. (1984). Mn/V ratio as a tracer of aerosol sulfate transport. Atmospheric Environment (1967). 18(6). 1059–1071. 52 indexed citations
20.
Webber, James S., et al.. (1979). Mosses from Baffin Island, Arctic Canada.. 5(2). 99–104. 4 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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