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.
Dependence of phytoplankton carbon isotopic composition on growth rate and [CO2)aq: Theoretical considerations and experimental results
Countries citing papers authored by Stephen A. Macko
Since
Specialization
Citations
This map shows the geographic impact of Stephen A. Macko'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 A. Macko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen A. Macko more than expected).
Fields of papers citing papers by Stephen A. Macko
This network shows the impact of papers produced by Stephen A. Macko. 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 A. Macko. The network helps show where Stephen A. Macko may publish in the future.
Co-authorship network of co-authors of Stephen A. Macko
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen A. Macko.
A scholar is included among the top collaborators of Stephen A. Macko 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 A. Macko. Stephen A. Macko is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Macko, Stephen A., et al.. (2016). Comparing Bayesian stable isotope mixing models: Which tools are best for sediments?. EGU General Assembly Conference Abstracts.1 indexed citations
Macko, Stephen A., et al.. (2005). Nitrogen Uptake Preferences by Plants in Arid and Semiarid Ecosystems. AGU Fall Meeting Abstracts. 2005.1 indexed citations
7.
Macko, Stephen A., et al.. (2005). Evapoconcentration not an indicator of nitrate in Kansas ground water. GeCAS. 69(10).1 indexed citations
Billmark, K., Robert Swap, & Stephen A. Macko. (2005). Stable isotope and GC/MS characterization of southern African aerosols : research letter. South African Journal of Science. 101. 177–179.7 indexed citations
10.
Macko, Stephen A., et al.. (2004). Real-time interactive environmental teleducation between the United States and southern Africa : news and views. South African Journal of Science. 100. 5–8.1 indexed citations
11.
Macko, Stephen A., et al.. (2004). Use of Nitrogen-15 Isotope Method in Soils and Ground Water to Determine Potential Nitrogen Sources Affecting a Municipal Water Supply in Kansas, USA. AGU Fall Meeting Abstracts. 2004.1 indexed citations
Aranibar, Julieta N., Stephen A. Macko, Iris C. Anderson, et al.. (2001). Does Nutrient Dynamics Determine C3-C4 Plant Abundance in Southern African Ecosystems?. AGUFM. 2001.1 indexed citations
Zieman, J. C., Stephen A. Macko, & Aaron L. Mills. (1984). Role of seagrasses and mangroves in estuarine food webs: temporal and spatial changes in stable isotope composition and amino acid content during decomposition. Bulletin of Marine Science. 35(3). 380–392.148 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.