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.
The age of Homo naledi and associated sediments in the Rising Star Cave, South Africa
2017193 citationsPaul H.G.M. Dirks, Eric M. Roberts et al.eLifeprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of John Hawks'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 John Hawks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hawks more than expected).
This network shows the impact of papers produced by John Hawks. 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 John Hawks. The network helps show where John Hawks may publish in the future.
Co-authorship network of co-authors of John Hawks
This figure shows the co-authorship network connecting the top 25 collaborators of John Hawks.
A scholar is included among the top collaborators of John Hawks 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 John Hawks. John Hawks is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Holloway, Ralph L., Antoine Balzeau, Heather M. Garvin, et al.. (2024). The endocast morphology of LES1, Homo naledi. American Journal of Biological Anthropology. 184(4). e24983–e24983.3 indexed citations
Peixotto, Becca, Marina Elliott, John Hawks, & Lee R. Berger. (2020). A Closer Look at the Spatial Distribution of Hominin Fossils at Pin 8, Hill Antechamber, Rising Star Cave.1 indexed citations
6.
Berger, Lee R., Marina Elliott, Becca Peixotto, et al.. (2018). A New Naming Scheme for the Dinaledi Chamber System and Associated Antechambers and Passages of the Rising Star Cave System, South Africa.1 indexed citations
Dirks, Paul H.G.M., Eric M. Roberts, Hannah L. Hilbert‐Wolf, et al.. (2017). The age of Homo naledi and associated sediments in the Rising Star Cave, South Africa. eLife. 6.193 indexed citations breakdown →
9.
Bastir, Markus, Daniel García‐Martínez, Scott A. Williams, et al.. (2017). Geometric morphometrics of hominoid thoraces and its bearing for reconstructing the ribcage of H. naledi.1 indexed citations
10.
Holloway, Ralph L., Heather M. Garvin, Tom Schoenemann, et al.. (2017). Homo naledi’s frontal lobe: Modern in form, ancestral in size.1 indexed citations
11.
Skinner, Matthew M., et al.. (2016). Enamel-dentine junction morphology and enamel thickness of the Dinaledi dental collection. American Journal of Physical Anthropology. 293–293.5 indexed citations
12.
VanSickle, Caroline, Zachary Cofran, Daniel García‐Martínez, et al.. (2016). Primitive pelvic features in a new species of Homo.1 indexed citations
13.
Delezene, Lucas K., Juliet K. Brophy, Matthew M. Skinner, et al.. (2016). Metric and nonmetric features of the Homo naledi dentition. American Journal of Physical Anthropology. 128–129.1 indexed citations
14.
Williams, Scott A., Daniel García‐Martínez, Marc R. Meyer, et al.. (2016). The axial skeleton and scaling of the trunk in Homo naledi.1 indexed citations
Hawks, John. (2000). The evolution of human population size : a synthesis of genetic and paleoanthropological data. Deep Blue (University of Michigan).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.