Suzanne D. Westfall

743 citations
12 papers · 606 · h-index 11

Impact in

Papers in

    • Pluripotent Stem Cells Research 3
    • Cell death mechanisms and regulation 2
    • Renal and related cancers 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Protein Kinase Regulation and GTPase Signaling 2

Suzanne D. Westfall

12 papers receiving 597 citations

Peers

Suzanne D. Westfall
Comparison fields: 5 of 63
  • Reproductive Medicine 66
  • Obstetrics and Gynecology 43
  • Molecular Biology 377
  • Cancer Research 70
  • Agronomy and Crop Science 46
Replace Maciej Brązert with:
Maciej Brązert Poland
Meiyi Tang United States
Tiefen Su China
Lisa K. Mullany United States
Xiang Ma China
Kook Heon Seo South Korea
Ni Zeng China
Ni Zheng China
Catherine A. Shang Australia
Li Ling China
Suzanne D. Westfall relative to Maciej Brązert Poland Maciej Brązert's profile →
Citations per field
00.5×2.9×
Maciej Brązert · 1×
Citations per year

Countries citing papers authored by Suzanne D. Westfall

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne D. Westfall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne D. Westfall. 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 Suzanne D. Westfall. The network helps show where Suzanne D. Westfall may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200899
2 200775
3 199872
4 200763
5 200552
6 201550
7 200044
8 200942
9 200234
10 200734
11 200131
12 200310

About Suzanne D. Westfall

Suzanne D. Westfall is a scholar working on Molecular Biology, Surgery, Reproductive Medicine, Agronomy and Crop Science and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 606 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Cell death mechanisms and regulation (2 papers), Renal and related cancers (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Reproductive Physiology in Livestock (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (66 citations), Obstetrics and Gynecology (43 citations), Molecular Biology (377 citations), Cancer Research (70 citations) and Agronomy and Crop Science (46 citations). Suzanne D. Westfall has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Michael K. Skinner, R. Michael Roberts, Toshihiko Ezashi, Padmalaya Das, John S. Davis, Kimberly A. Livingston, Laura C. Schulz, M. Sharon Stack, Eric Nilsson and Mark Hannink. Their work appears in journals such as Chemotherapy, Cancer treatment and research, Journal of Biological Chemistry, Endocrinology and Stem Cells and Development.

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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