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.
A highly unsaturated fatty acid predicts carbon transfer between primary producers and consumers
2000652 citationsDörthe C. Müller‐Navarra, Michael T. Brett et al.Natureprofile →
Phosphorus and Nitrogen Limitation of Phytoplankton Growth in the Freshwaters of North America: A Review and Critique of Experimental Enrichments
1990527 citationsJames J. Elser, Charles R. Goldman et al.Canadian Journal of Fisheries and Aquatic Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Charles R. Goldman
Since
Specialization
Citations
This map shows the geographic impact of Charles R. Goldman'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 Charles R. Goldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles R. Goldman more than expected).
Fields of papers citing papers by Charles R. Goldman
This network shows the impact of papers produced by Charles R. Goldman. 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 Charles R. Goldman. The network helps show where Charles R. Goldman may publish in the future.
Co-authorship network of co-authors of Charles R. Goldman
This figure shows the co-authorship network connecting the top 25 collaborators of Charles R. Goldman.
A scholar is included among the top collaborators of Charles R. Goldman 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 Charles R. Goldman. Charles R. Goldman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Reuter, J. E., et al.. (2001). Long Term and High Resolution Approaches to Watershed Suspended Sediment Loading, Lake Tahoe Basin. AGUFM. 2001.1 indexed citations
4.
Babcock, J., Neal W. Driscoll, A. J. Harding, et al.. (2001). Differential Strain Accumulation Across Lake Tahoe as Measured From Submerged Paleo-shorelines. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 2001.1 indexed citations
5.
Müller‐Navarra, Dörthe C., et al.. (2000). A highly unsaturated fatty acid predicts carbon transfer between primary producers and consumers. Nature. 403(6765). 74–77.652 indexed citations breakdown →
Slotton, Darell G., et al.. (1995). Gold Mining Impacts on Food Chain Mercury in Northwestern Sierra Nevada Streams. eScholarship (California Digital Library).23 indexed citations
Goldman, Charles R., et al.. (1989). Commercially grown Spirulina found to contain low levels of mercury and lead. Nutrition reports international. 40(6). 1165–1172.11 indexed citations
Goldman, Charles R., et al.. (1984). Centric diatoms of Lake Tahoe. ScholarsArchive (Brigham Young University). 44(1). 7.10 indexed citations
13.
Gersberg, Richard M., B. V. Elkins, & Charles R. Goldman. (1984). Use of artificial wetlands to remove nitrogen from wastewater. Journal of Water Pollution Control Federation. 56(2). 152–156.51 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.