R Daniel

16 papers receiving 395 citations

Peers

R Daniel
Comparison fields: 5 of 60
  • Otorhinolaryngology 34
  • Ophthalmology 63
  • Epidemiology 149
  • Oncology 107
  • Radiology, Nuclear Medicine and Imaging 71
Replace Virginia M. Mullooly with:
Virginia M. Mullooly United States
May Nouri United States
Merrill A. Biel United States
C. Zwicker Germany
S. Zhang China
Nobuyoshi Ozawa Japan
Margaret L. Pfeiffer United States
Bishr Aldabagh United States
P.M. Speight United Kingdom
Shalini Malhotra India
R Daniel relative to Virginia M. Mullooly United States Virginia M. Mullooly's profile →
Citations per field
00.5×2×3×4×4.7×
Virginia M. Mullooly · 1×
Citations per year

Countries citing papers authored by R Daniel

Since Specialization
Citations

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

Fields of papers citing papers by R Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside R Daniel, 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 R Daniel Line = papers co-authored together R Daniel links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
The predominance of human papillomavirus type 16 in vulvar neoplasia.
198894
2 197343
3 199739
4 198039
5 198139
6 202036
7 197433
8 200027
9 200323
10
Representativity and reproducibility of DNA malignancy grading in different carcinomas.
198920
11
Tear film break up time (B.U.T.) in non-contact lens wearers and contact lens wearers in normal Indian population.
198715
12 197614
13 20149
14 20242
15
UNCORRECTED PROOF 1 Identification of functional 2 anti-Staphylococcus aureus antibodies by 3 sequencing patient plasmablast 4 antibody repertoires
20141
16 19901

About R Daniel

R Daniel is a scholar working on Ophthalmology, Otorhinolaryngology, Infectious Diseases, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 435 indexed citations. Recurring topics across this work include Intraocular Surgery and Lenses (3 papers), Cervical Cancer and HPV Research (3 papers), Head and Neck Cancer Studies (2 papers), Polyomavirus and related diseases (2 papers), Retinal and Macular Surgery (2 papers), Bacterial biofilms and quorum sensing (2 papers), Parvovirus B19 Infection Studies (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Otorhinolaryngology (34 citations), Ophthalmology (63 citations), Epidemiology (149 citations), Oncology (107 citations) and Radiology, Nuclear Medicine and Imaging (71 citations). R Daniel has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include K. V. Shah, Jack J. Kanski, David L. Madden, Sergio Stagno, Joseph Buscema, Woodruff Jd, Zohreh Naghashfar, Andrew R Elkington, David Vlahov and Lauren B Solomon. Their work appears in journals such as British Journal of Ophthalmology, Infection and Immunity, International Journal of Oral and Maxillofacial Surgery, Journal of Clinical Microbiology and Diseases of the Esophagus.

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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