Daniel H. Smith

805 citations
18 papers · 632 · h-index 12

Impact in

Papers in

Daniel H. Smith

18 papers receiving 614 citations

Peers

Daniel H. Smith
Comparison fields: 5 of 70
  • Obstetrics and Gynecology 297
  • Reproductive Medicine 257
  • Oncology 180
  • Surgery 195
  • Epidemiology 126
Replace Hiroaki Negishi with:
Hiroaki Negishi Japan
Kornkanok Sukpan Thailand
Robert S. Planner Australia
Eiji Kondo Japan
Alessandra Lissoni Italy
Michele Follen Mitchell United States
Mei‐Yung Yu Hong Kong
John G. Morrison United States
Dieter Grab Germany
Soo Kim Lim-Tan Singapore
Daniel H. Smith relative to Hiroaki Negishi Japan Hiroaki Negishi's profile →
Citations per field
00.5×1.5×1.9×
Hiroaki Negishi · 1×
Citations per year

Countries citing papers authored by Daniel H. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2004115
2 200696
3 198988
4 198675
5 200450
6 200436
7
Human papillomavirus detection in cervical lesions nondiagnostic for cervical intraepithelial neoplasia: correlation with Papanicolaou smear, colposcopy, and occurrence of cervical intraepithelial neoplasia.
199030
8 198629
9 200827
10 200823
11 199518
12 199417
13 19947
14
Vulvar and vaginal melanoma. A clinicopathologic study.
19947
15 19906
16 19994
17 19963
18 19951

About Daniel H. Smith

Daniel H. Smith is a scholar working on Oncology, Obstetrics and Gynecology, Reproductive Medicine, Cognitive Neuroscience and Epidemiology, having authored 18 papers that have together received 632 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), EEG and Brain-Computer Interfaces (3 papers), Uterine Myomas and Treatments (3 papers), Colorectal Cancer Surgical Treatments (2 papers), Cervical Cancer and HPV Research (2 papers), Anesthesia and Sedative Agents (2 papers) and Ovarian function and disorders (1 paper). The work is most often cited by research in Obstetrics and Gynecology (297 citations), Reproductive Medicine (257 citations), Oncology (180 citations), Surgery (195 citations) and Epidemiology (126 citations). Daniel H. Smith has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Dawn L. Hershman, Virginia K. Pierce, John L. Lewis, Hanina Hibshoosh, Seth M. Cohen, Jeannine Villella, Dave Clark, Diane C. Bodurka, Michael Frumovitz and Diljeet K. Singh. Their work appears in journals such as Gynecologic Oncology, Anesthesia & Analgesia, Urology, Cytopathology and World Journal of Surgery.

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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