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.
Optimal assessment and management of chronic obstructive pulmonary disease (COPD). The European Respiratory Society Task Force
19951.2k citationsP. Vermeire, P Paoletti et al.European Respiratory Journalprofile →
Peers
DS Postma
Comparison fields: 5 of 90
Pulmonary and Respiratory Medicine1.3k
Physiology641
Emergency Medical Services107
Epidemiology97
Public Health, Environmental and Occupational Health72
This map shows the geographic impact of DS Postma'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 DS Postma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DS Postma more than expected).
This network shows the impact of papers produced by DS Postma. 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 DS Postma. The network helps show where DS Postma may publish in the future.
Co-authorship network of co-authors of DS Postma
This figure shows the co-authorship network connecting the top 25 collaborators of DS Postma.
A scholar is included among the top collaborators of DS Postma 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 DS Postma. DS Postma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.