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.
Global field observations of tree die-off reveal hotter-drought fingerprint for Earth’s forests
2022373 citationsWilliam M. Hammond, Park Williams et al.Nature Communicationsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Cuauhtémoc Sáenz‐Romero
Since
Specialization
Citations
This map shows the geographic impact of Cuauhtémoc Sáenz‐Romero'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 Cuauhtémoc Sáenz‐Romero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuauhtémoc Sáenz‐Romero more than expected).
Fields of papers citing papers by Cuauhtémoc Sáenz‐Romero
This network shows the impact of papers produced by Cuauhtémoc Sáenz‐Romero. 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 Cuauhtémoc Sáenz‐Romero. The network helps show where Cuauhtémoc Sáenz‐Romero may publish in the future.
Co-authorship network of co-authors of Cuauhtémoc Sáenz‐Romero
This figure shows the co-authorship network connecting the top 25 collaborators of Cuauhtémoc Sáenz‐Romero.
A scholar is included among the top collaborators of Cuauhtémoc Sáenz‐Romero 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 Cuauhtémoc Sáenz‐Romero. Cuauhtémoc Sáenz‐Romero is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hammond, William M., Park Williams, John T. Abatzoglou, et al.. (2022). Global field observations of tree die-off reveal hotter-drought fingerprint for Earth’s forests. Nature Communications. 13(1). 1761–1761.373 indexed citations breakdown →
Hammond, W. C., Park Williams, John T. Abatzoglou, et al.. (2020). A global database of geo-referenced drought and heat-induced tree mortality events reveals climatic drivers of forest die-off.. AGU Fall Meeting Abstracts. 2020.1 indexed citations
Sáenz‐Romero, Cuauhtémoc, Roberto Lindig‐Cisneros, Dennis G. Joyce, et al.. (2016). Assisted migration of forest populations for adapting trees to climate change. SHILAP Revista de lepidopterología.8 indexed citations
14.
Sáenz‐Romero, Cuauhtémoc, et al.. (2012). Altitudinal morphological variation among Pinus devoniana Lindl. populations of putative variety cornuta Martínez in state of Michoacan.. Revista mexicana de ciencias forestales. 3(13). 17–28.1 indexed citations
15.
Sáenz‐Romero, Cuauhtémoc, Gerald E. Rehfeldt, Nicholas L. Crookston, Pierre Duval, & Jean Beaulieu. (2012). Modelos "spline" de climas contemporáneo, 2030, 2060 y 2090 para Michoacán, México: Impactos en la vegetación. Revista Fitotecnia Mexicana. 35(4). 334–345.1 indexed citations
16.
Sáenz‐Romero, Cuauhtémoc, et al.. (2011). EFECTO DE RAYOS GAMMA 60Co EN NARDO (Polianthes tuberosa L.). LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2(3). 445–458.4 indexed citations
Sáenz‐Romero, Cuauhtémoc, et al.. (2003). Conservation and Restoration of Pine Forest Genetic Resources in México. Silvae genetica. 52. 233–237.33 indexed citations
20.
Sáenz‐Romero, Cuauhtémoc, et al.. (2003). Pinus oocarpa Isoenzymatic Variation Along an Altitudinal Gradient in Michoacán, México.. Silvae genetica. 52. 237–240.31 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.