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.
Prognostic Significance of Histopathologic Subsets in Idiopathic Pulmonary Fibrosis
1998796 citationsJay H. Ryu, Mark Edwin et al.American Journal of Respiratory and Critical Care Medicineprofile →
Countries citing papers authored by Henry D. Tazelaar
Since
Specialization
Citations
This map shows the geographic impact of Henry D. Tazelaar'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 Henry D. Tazelaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry D. Tazelaar more than expected).
Fields of papers citing papers by Henry D. Tazelaar
This network shows the impact of papers produced by Henry D. Tazelaar. 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 Henry D. Tazelaar. The network helps show where Henry D. Tazelaar may publish in the future.
Co-authorship network of co-authors of Henry D. Tazelaar
This figure shows the co-authorship network connecting the top 25 collaborators of Henry D. Tazelaar.
A scholar is included among the top collaborators of Henry D. Tazelaar 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 Henry D. Tazelaar. Henry D. Tazelaar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schaefer, Paul, Randolph S. Marks, Michelle R. Mahoney, et al.. (2003). . American Journal of Clinical Oncology. 26(3). 236–240.1 indexed citations
9.
Allen, Ruth D., et al.. (2003). Surgical pathology of subaortic septal myectomy associated with hypertrophic cardiomyopathy A study of 229 cases. Modern Pathology. 16(1). 55.18 indexed citations
Aubry, Marie‐Christine, et al.. (2000). Pulmonary Lymphangioleiomyomatosis in a Man. American Journal of Respiratory and Critical Care Medicine. 162(2). 749–752.90 indexed citations
12.
Marrogi, Aizen J., William D. Travis, Judith A. Welsh, et al.. (2000). Nitric oxide synthase, cyclooxygenase 2, and vascular endothelial growth factor in the angiogenesis of non-small cell lung carcinoma.. PubMed. 6(12). 4739–44.184 indexed citations
13.
Egan, Michael, Lisa A. Boardman, Henry D. Tazelaar, et al.. (1999). Erdheim-Chester Disease. The American Journal of Surgical Pathology. 23(1). 17–26.115 indexed citations
14.
Ryu, Jay H., Mark Edwin, Jeffrey L. Myers, et al.. (1998). Prognostic Significance of Histopathologic Subsets in Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 157(1). 199–203.796 indexed citations breakdown →
Burke, Louise, Khan Ma, Andrew N. Freedman, et al.. (1998). Allelic deletion analysis of the FHIT gene predicts poor survival in non-small cell lung cancer.. PubMed. 58(12). 2533–6.65 indexed citations
Tazelaar, Henry D., Jochum Prop, Paul Nieuwenhuis, Margaret E. Billingham, & Charles R.H. Wildevuur. (1988). AIRWAY PATHOLOGY IN THE TRANSPLANTED RAT LUNG. Transplantation. 45(5). 864–868.44 indexed citations
20.
Prop, Jochum, Henry D. Tazelaar, & Margaret E. Billingham. (1987). Rejection of combined heart-lung transplants in rats. Function and pathology.. PubMed Central. 127(1). 97–105.14 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.