Anna M. Ray

2.1k citations
25 papers · 482 · h-index 14

Impact in

Papers in

Anna M. Ray

23 papers receiving 465 citations

Peers

Anna M. Ray
Comparison fields: 5 of 55
  • Cancer Research 100
  • Pulmonary and Respiratory Medicine 215
  • Genetics 167
  • Pathology and Forensic Medicine 74
  • Endocrinology, Diabetes and Metabolism 63
Replace M. M. de Jong with:
M. M. de Jong Netherlands
P C Walsh United States
Małgorzata Ławniczak Poland
Nozomi Shinohara Japan
Tamara Kalir United States
Marjory Alana Marcello Brazil
Evangelos Chandanos Sweden
Jiro Eguchi Japan
David R. Kafonek United States
Shulamit Rizel Israel
Anna M. Ray relative to M. M. de Jong Netherlands M. M. de Jong's profile →
Citations per field
00.5×2.6×
M. M. de Jong · 1×
Citations per year

Countries citing papers authored by Anna M. Ray

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. Ray. 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 Anna M. Ray. The network helps show where Anna M. Ray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201156
2 200751
3 200843
4 201042
5 201042
6 200835
7 200828
8 200728
9 200927
10 200823
11 200822
12 201020
13 199719
14 200716
15 20059
16 20065
17 20095
18 20074
19 20152
20 20242

About Anna M. Ray

Anna M. Ray is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 25 papers that have together received 482 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Genetic Associations and Epidemiology (6 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Genetic factors in colorectal cancer (3 papers), Cancer, Lipids, and Metabolism (3 papers), BRCA gene mutations in cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Cancer Research (100 citations), Pulmonary and Respiratory Medicine (215 citations), Genetics (167 citations), Pathology and Forensic Medicine (74 citations) and Endocrinology, Diabetes and Metabolism (63 citations). Anna M. Ray has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Kathleen A. Cooney, Kimberly A. Zuhlke, Ethan M. Lange, Julie A. Douglas, Albert M. Levin, Yunfei Wang, Jennifer Beebe‐Dimmer, Aruna V. Sarma, Lindsey A. Ho and Mitchell J. Machiela. Their work appears in journals such as The Prostate, Prostate Cancer and Prostatic Diseases, Cancer Epidemiology Biomarkers & Prevention, British Journal of Cancer and Familial Cancer.

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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