David H. Dail

2.4k citations
29 papers · 1.7k · h-index 17

Impact in

Papers in

    • Medical Imaging and Pathology Studies 7
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
    • Sarcoma Diagnosis and Treatment 2
    • Renal cell carcinoma treatment 2

David H. Dail

29 papers receiving 1.6k citations

Peers

David H. Dail
Comparison fields: 5 of 99
  • Oncology 819
  • Pulmonary and Respiratory Medicine 633
  • Cardiology and Cardiovascular Medicine 423
  • Rheumatology 235
  • Neurology 221
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Citations per year

Countries citing papers authored by David H. Dail

Since Specialization
Citations

This map shows the geographic impact of David H. Dail'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 David H. Dail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Dail more than expected).

Fields of papers citing papers by David H. Dail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Dail. 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 David H. Dail. The network helps show where David H. Dail may publish in the future.

Co-authors

The 25 scholars most cited alongside David H. Dail, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David H. Dail Line = papers co-authored together David H. Dail links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epithelioid hemangioendothelioma and related lesions.
1986344
2 1983267
3
Thyroid transcription factor-1: immunohistochemical evaluation in pulmonary neuroendocrine tumors.
1999206
4 1994145
5 1982112
6 198079
7 199776
8 199951
9 200149
10
Tumor microembolism: pulmonary perfusion pattern.
198443
11 198337
12 199434
13
Type II pneumocytes in pulmonary tumors. Implications for histogenesis.
198433
14 200132
15 199426
16 198823
17 198117
18 201715
19 199814
20 198312

About David H. Dail

David H. Dail is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Oncology and Epidemiology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Renal cell carcinoma treatment (2 papers), Pediatric Urology and Nephrology Studies (2 papers), Cardiac tumors and thrombi (2 papers), Renal and related cancers (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Oncology (819 citations), Pulmonary and Respiratory Medicine (633 citations), Cardiology and Cardiovascular Medicine (423 citations), Rheumatology (235 citations) and Neurology (221 citations). David H. Dail has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Samuel P. Hammar, Franz M. Enzinger, Donald E. Sweet, Kamal G. Ishak, Sharon W. Weiss, Taner Demirer, Averill A. Liebow, Susan D. Patterson, John T. Gmelich and Katsumi Miyai. Their work appears in journals such as Cancer, Modern Pathology, American Journal of Roentgenology, Histopathology and Pancreas.

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.

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