Matthew Dean

704 citations
35 papers · 544 · h-index 15

Impact in

Papers in

Matthew Dean

33 papers receiving 543 citations

Peers

Matthew Dean
Comparison fields: 5 of 71
  • Reproductive Medicine 172
  • Obstetrics and Gynecology 42
  • Agronomy and Crop Science 57
  • Immunology 99
  • Cancer Research 62
Replace John Mark P. Pabona with:
John Mark P. Pabona United States
Tomoharu Okubo Japan
Wendy M. Bonner Australia
Guomin Zhang China
Hiroaki Homma Japan
Yoshiyuki Fukushi Japan
Nobuyuki Sakurai Japan
R.C.M. Kiekens Netherlands
Xiaoyan Ni China
Sara L. Schneider United States
Matthew Dean relative to John Mark P. Pabona United States John Mark P. Pabona's profile →
Citations per field
00.5×3.6×
John Mark P. Pabona · 1×
Citations per year

Countries citing papers authored by Matthew Dean

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 201857
3 201641
4 201935
5 201833
6 202028
7 201825
8 201924
9 201823
10 201820
11 201620
12 201419
13 201618
14 202314
15 201814
16 202013
17 202211
18 202211
19 202310
20 201910

About Matthew Dean

Matthew Dean is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Genetics, having authored 35 papers that have together received 544 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (10 papers), Reproductive Biology and Fertility (10 papers), Reproductive Physiology in Livestock (8 papers), Reproductive System and Pregnancy (6 papers), Renal and related cancers (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Reproductive Medicine (172 citations), Obstetrics and Gynecology (42 citations), Agronomy and Crop Science (57 citations), Immunology (99 citations) and Cancer Research (62 citations). Matthew Dean has collaborated with scholars based in United States and Egypt. Frequent co-authors include Joanna E. Burdette, David A. Davis, Daniel D. Lantvit, Angela Russo, Brian T. Murphy, Tova M. Bergsten, Ziting Chen, Laura M. Sanchez, Katherine E. Zink and Jack Rose. Their work appears in journals such as Cancer Letters, Animal Reproduction Science, Oncogene, Journal of Visualized Experiments and Clinical Cancer Research.

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.

Explore authors with similar magnitude of impact