Rebecca E. Graff

4.8k citations
66 papers · 1.4k · h-index 19

Impact in

Papers in

Rebecca E. Graff

64 papers receiving 1.4k citations

Peers

Rebecca E. Graff
Comparison fields: 5 of 106
  • Cancer Research 343
  • Pulmonary and Respiratory Medicine 603
  • Oncology 383
  • Genetics 303
  • Pathology and Forensic Medicine 123
Replace Riikka Huovinen with:
Riikka Huovinen Finland
Ping‐Ping Bao China
Gabriela Torres-Mejı́a Mexico
Linda M. Dong United States
Megan S. Rice United States
Shelley M. Enger United States
Ryuichi Mibu Japan
Daniel R. Saltzstein United States
Joanne Davis United States
Kofi Asomaning United States
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Citations per field
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Citations per year

Countries citing papers authored by Rebecca E. Graff

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca E. Graff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rebecca E. Graff. 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 Rebecca E. Graff. The network helps show where Rebecca E. Graff may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014158
2 2015141
3 2020137
4 202098
5 202076
6 201774
7 201366
8 201662
9 201850
10 201739
11 202138
12 201832
13 202025
14 202023
15 201523
16 202421
17 201720
18 202219
19 202219
20 201618

About Rebecca E. Graff

Rebecca E. Graff is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Genetics, Molecular Biology and Cancer Research, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (16 papers), Cancer, Lipids, and Metabolism (11 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Genetic Associations and Epidemiology (9 papers), Cancer-related cognitive impairment studies (8 papers), Nutritional Studies and Diet (7 papers), Cancer survivorship and care (7 papers) and Dementia and Cognitive Impairment Research (6 papers). The work is most often cited by research in Cancer Research (343 citations), Pulmonary and Respiratory Medicine (603 citations), Oncology (383 citations), Genetics (303 citations) and Pathology and Forensic Medicine (123 citations). Rebecca E. Graff has collaborated with scholars based in United States, Sweden and Ireland. Frequent co-authors include John S. Witte, Lorelei A. Mucci, Edward L. Giovannucci, Andreas Pettersson, Stacey A. Kenfield, Massimo Loda, Elad Ziv, Kathryn M. Wilson, Michelangelo Fiorentino and Travis J. Meyers. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Nature Communications, British Journal of Cancer, Journal of Clinical Oncology and JAMA Network Open.

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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