Jennifer Muller

1.2k citations
8 papers · 694 indexed · 1 hit paper · h-index 6
Topics
Global Cancer Incidence and Screening (5 papers)BRCA gene mutations in cancer (2 papers)Cervical Cancer and HPV Research (2 papers)

In The Last Decade

Jennifer Muller

8 papers receiving 673 citations

Hit Papers

The descriptive epidemiology of female breast cancer: An ...20122026201620212012100200300400500

Peers

Jennifer Muller
Comparison fields: 5 of 102
  • Oncology 347
  • Epidemiology 143
  • Cancer Research 128
  • Molecular Biology 126
  • Pulmonary and Respiratory Medicine 69
Replace Rachel V. Stankowski with:
Rachel V. Stankowski United States
Li‐Ju Chen Taiwan
Aman Xu China
Van Vuong United States
Suzy Lockwood United States
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Monika Lamba Saini India
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S. Okamura Japan
Jennifer Muller relative to Rachel V. Stankowski United States Rachel V. Stankowski's profile →
Citations per field
00.5×1.7×
Rachel V. Stankowski · 1×
Citations per year

Countries citing papers authored by Jennifer Muller

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Muller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Muller

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 1
2 55
3 12
4
The descriptive epidemiology of female breast cancer: An international comparison of screening, incidence, survival and mortalitybreakdown →
542
5 13
6 5
7
[EVE, a regional campaign for the screening of cervical cancer. Organization, 7-years results and perspectives].
19
8 47

About Jennifer Muller

Jennifer Muller is a scholar working on Internal Medicine, Occupational Therapy and Human-Computer Interaction, having authored 8 papers that have together received 694 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (5 papers), BRCA gene mutations in cancer (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Oncology (347 citations), Cancer Research (128 citations) and Internal Medicine (16 citations). Jennifer Muller has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Nathan Dunn, Christopher Pyke, Peter D. Baade, Danny R. Youlden, Susanna Cramb, Michael Coory, Thomas Agoritsas, Sankar Prasad Gorthi, Lyubov Lytvyn and Anja Fog Heen. Their work appears in journals such as BMJ, World Journal of Surgery and The Medical Journal of Australia.

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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