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.
Spectrofluorometric characterization of dissolved organic matter for indication of precursor organic material and aromaticity
20012.5k citationsDiane M. McKnight, Peter T. Doran et al.profile →
Consensus on consensus: a synthesis of consensus estimates on human-caused global warming
Countries citing papers authored by Peter T. Doran
Since
Specialization
Citations
This map shows the geographic impact of Peter T. Doran'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 Peter T. Doran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Doran more than expected).
This network shows the impact of papers produced by Peter T. Doran. 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 Peter T. Doran. The network helps show where Peter T. Doran may publish in the future.
Co-authorship network of co-authors of Peter T. Doran
This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. Doran.
A scholar is included among the top collaborators of Peter T. Doran 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 Peter T. Doran. Peter T. Doran is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brown, Eric K., Mark J. Grantham, A. Pontefract, et al.. (2020). Trapped in the Ice: An Analysis of Brines in British Columbia's Hypersaline Lakes. Lunar and Planetary Science Conference. 2218.2 indexed citations
11.
Gooseff, M. N., Byron J. Adams, J. Barrett, et al.. (2015). The Past as a Window to the Future - What Does Long Term Research in the McMurdo Dry Valleys, Antarctica Tell Us About the Trajectory of Polar Ecosystems?. 2015 AGU Fall Meeting. 2015.2 indexed citations
Fritsen, Christian H., et al.. (2009). Life in the ice cover and underlying cold brines of Lake Vida, Antarctica. Geochimica et Cosmochimica Acta. 7313. 922.1 indexed citations
15.
Hobbie, John E., Garry K. C. Clarke, Peter T. Doran, et al.. (2007). Exploration of Antarctic Subglacial Aquatic Environments: Environmental and Scientific Stewardship. AGUFM. 2007.22 indexed citations
16.
Doran, Peter T., et al.. (2007). Environmentally Non-Disturbing Under-ice Robotic ANtarctiC Explorer (ENDURANCE). AGUFM. 2007.3 indexed citations
17.
Lyons, W. Berry, Carolyn B. Dowling, Kathleen A. Welch, et al.. (2005). Dating water and solute additions to ice-covered Antarctic lakes. Geochimica et Cosmochimica Acta Supplement. 69(10).3 indexed citations
18.
Doran, Peter T., et al.. (2004). Stable carbon and nitrogen isotopic composition of benthic and pelagic organic matter in lakes of the McMurdo Dry Valleys, Antarctica. Civil War Book Review.4 indexed citations
19.
Klima, R. L., Peter T. Doran, & J. S. Kargel. (2002). Morphology of Small-Scale Patterned Ground in Utopia Planitia, Mars: A Comparison With Terrestrial Polygonal Terrain. AGU Fall Meeting Abstracts. 2002.1 indexed citations
20.
Nyquist, L. E., Peter T. Doran, Thure E. Cerling, et al.. (2000). Martian Chronology: Goals for Investigations from a Recent Multidisciplinary Workshop. 96.2 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.