Daniel L. Duncan

1.1k citations
32 papers · 835 · h-index 16

Impact in

Papers in

    • Cancer Genomics and Diagnostics 6
    • Cancer Immunotherapy and Biomarkers 5
    • Lung Cancer Research Studies 2
    • Colorectal Cancer Treatments and Studies 2

Daniel L. Duncan

31 papers receiving 816 citations

Peers

Daniel L. Duncan
Comparison fields: 5 of 89
  • Horticulture 19
  • Cancer Research 235
  • Oncology 203
  • Obstetrics and Gynecology 48
  • Pathology and Forensic Medicine 113
Replace Raquel Catarino with:
Raquel Catarino Portugal
Maria Małgorzata Kowalska Poland
Cuizhen Li United States
Victoria J. Cookson United Kingdom
Darlene G. Gibbon United States
Yan Fu China
Hajime Kuroda Japan
Giannoula Soufla Greece
Alis Liliana Carmen Dema Romania
Selliah Chandra Kanthan Canada
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Citations per field
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Raquel Catarino · 1×
Citations per year

Countries citing papers authored by Daniel L. Duncan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Duncan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Duncan. 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 Daniel L. Duncan. The network helps show where Daniel L. Duncan may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel L. Duncan, 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 Daniel L. Duncan Line = papers co-authored together Daniel L. Duncan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021198
2 202089
3 201362
4 202048
5 202143
6 201642
7 202142
8 201233
9 202128
10 202027
11 202123
12 202323
13
Anaplastic sacrococcygeal chordoma. Fine needle aspiration cytologic findings and embryologic considerations.
198621
14 202221
15 202019
16 202119
17 195516
18 201915
19 202114
20 202112

About Daniel L. Duncan

Daniel L. Duncan is a scholar working on Cancer Research, Oncology, Obstetrics and Gynecology, Pathology and Forensic Medicine and Hematology, having authored 32 papers that have together received 835 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Acute Myeloid Leukemia Research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Research Studies (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Uterine Myomas and Treatments (2 papers) and Tumors and Oncological Cases (2 papers). The work is most often cited by research in Horticulture (19 citations), Cancer Research (235 citations), Oncology (203 citations), Obstetrics and Gynecology (48 citations) and Pathology and Forensic Medicine (113 citations). Daniel L. Duncan has collaborated with scholars based in United States, Nepal and Russia. Frequent co-authors include Eric Allan Severson, Shakti H Ramkissoon, Luisa F. Cruz, Paul A. Cobine, Fernando Navarrete, Leonardo De La Fuente, Richard S.P. Huang, Douglas I. Lin, Jeffrey S. Ross and Jo‐Anne Vergilio. Their work appears in journals such as The Oncologist, Annals of Oncology, Modern Pathology, Gynecologic Oncology and PLoS ONE.

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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