Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Metal Oxide Surfaces and Their Interactions with Aqueous Solutions and Microbial Organisms
1998902 citationsGordon E. Brown et al.Chemical Reviewsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Gordon E. Brown
Since
Specialization
Citations
This map shows the geographic impact of Gordon E. Brown'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 Gordon E. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon E. Brown more than expected).
This network shows the impact of papers produced by Gordon E. Brown. 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 Gordon E. Brown. The network helps show where Gordon E. Brown may publish in the future.
Co-authorship network of co-authors of Gordon E. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon E. Brown.
A scholar is included among the top collaborators of Gordon E. Brown 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 Gordon E. Brown. Gordon E. Brown is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brown, Gordon E. & Georges Calas. (2012). Section 13. Sorption Reactions in More Complex Model Systems: Containing Nom and Microbial Biofilm Coatings. 1. 603–610.1 indexed citations
10.
Brown, Gordon E. & Georges Calas. (2012). Section 18. Mineral-Water Interfaces as Driving Forces For Metal Concentration: The Example of Cobalt Trapping by Mn-Oxides. 1. 667–669.2 indexed citations
11.
Brown, Gordon E. & Georges Calas. (2012). Section 7. The Nature of Solid-Water Interfaces. 1. 545–560.3 indexed citations
12.
Ha, Juyoung, et al.. (2009). Study of Iodide Adsorption on Organobentonite using X-ray Absorption Spectroscopy. Journal of the Mineralogical Society of Korea. 22(1). 23–34.2 indexed citations
13.
Yamamoto, Susumu, Tom Kendelewicz, John T. Newberg, et al.. (2009). Water adsorption on alpha-Fe2O3(0001) at near ambient conditions. The Journal of Physical Chemistry.4 indexed citations
Brown, Gordon E.. (2002). Applications of Synchrotron Radiation in Low Temperature Geochemistry and Environmental Science. AGU Fall Meeting Abstracts. 2002.3 indexed citations
Brown, Gordon E.. (1990). Spectroscopic studies of chemisorption reaction mechanisms at oxide-water interfaces. Reviews in Mineralogy & Geochemistry. 23(1). 309–363.55 indexed citations
19.
Stern, Laura A., Gordon E. Brown, D. K. Bird, et al.. (1986). Mineralogy and geochemical evolution of the Little Three pegmatite-aplite layered intrusive, Ramona, California. American Mineralogist. 71. 406–427.42 indexed citations
20.
Shigley, James E. & Gordon E. Brown. (1985). Occurrence and alteration of phosphate minerals at the Stewart Pegmatite, Pala District, San Diego County, California. American Mineralogist. 70. 395–408.14 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.