Daniel G. Petereit

5.2k total citations
122 papers, 3.7k citations indexed

About

Daniel G. Petereit is a scholar working on Oncology, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daniel G. Petereit has authored 122 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 34 papers in Obstetrics and Gynecology and 26 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daniel G. Petereit's work include Endometrial and Cervical Cancer Treatments (34 papers), Global Cancer Incidence and Screening (31 papers) and Cervical Cancer and HPV Research (21 papers). Daniel G. Petereit is often cited by papers focused on Endometrial and Cervical Cancer Treatments (34 papers), Global Cancer Incidence and Screening (31 papers) and Cervical Cancer and HPV Research (21 papers). Daniel G. Petereit collaborates with scholars based in United States, Canada and Belgium. Daniel G. Petereit's co-authors include Bruce Thomadsen, Bradley A. Erickson, B. Ashleigh Guadagnolo, J. Demanes, Colin G. Orton, Subir Nag, R. Pearcey, Jann N. Sarkaria, Dolores A. Buchler and Kristin Cina and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Daniel G. Petereit

119 papers receiving 3.6k citations

Peers

Daniel G. Petereit
Comparison fields: 5 of 130
  • Obstetrics and Gynecology 1.6k
  • Surgery 1.1k
  • Oncology 910
  • Epidemiology 771
  • Radiation 704
Replace Surbhi Grover with:
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Citations per field, relative to Daniel G. Petereit
Daniel G. Petereit · 1×
Citations per year, relative to Daniel G. Petereit
Daniel G. Petereit · 1×

Countries citing papers authored by Daniel G. Petereit

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Petereit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Petereit

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Petereit. A scholar is included among the top collaborators of Daniel G. Petereit 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 Daniel G. Petereit. Daniel G. Petereit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 10
3 1
4 2
5 4
6 26
7 190
8 8
9 4
10 9
11
A Multi-faceted Approach to Improving Breast Cancer Outcomes in a Rural Population, and the Potential Impact of Patient Navigation.
5
12 1
13 36
14 8
15
Comparative analysis of cervical cancer in women and in a human papillomavirus-transgenic mouse model: identification of minichromosome maintenance protein 7 as an informative biomarker for human cervical cancer.
98
16 16
17 8
18 4
19 21
20 50

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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