Emily Webster

31 papers receiving 302 citations

Peers

Emily Webster
Comparison fields: 5 of 51
  • Health Informatics 5
  • Genetics 81
  • Obstetrics and Gynecology 16
  • Reproductive Medicine 16
  • Epidemiology 52
Replace Thor Schütt Svane Nielsen with:
Thor Schütt Svane Nielsen Denmark
Yohei Ogawa Japan
Nihat Buğra Ağaoğlu Türkiye
Kuralay Atageldiyeva Kazakhstan
Marcos Lepe United States
Numan Baydilli Türkiye
Till Kaltofen Germany
Paola Vignali Italy
Heidrun Janka Germany
Gladys R.J. Zandwijken Netherlands
Emily Webster relative to Thor Schütt Svane Nielsen Denmark Thor Schütt Svane Nielsen's profile →
Citations per field
00.5×
Thor Schütt Svane Nielsen · 1×
Citations per year

Countries citing papers authored by Emily Webster

Since Specialization
Citations

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

Fields of papers citing papers by Emily Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emily Webster, 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 Emily Webster Line = papers co-authored together Emily Webster 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 201642
2 201040
3 201134
4 202322
5 202318
6 202115
7 202315
8 202115
9 202111
10 202311
11 201810
12 202010
13 20239
14 20206
15 20225
16 20235
17 20235
18 20235
19 20244
20 20224

About Emily Webster

Emily Webster is a scholar working on Genetics, Obstetrics and Gynecology, Molecular Biology, Epidemiology and Reproductive Medicine, having authored 35 papers that have together received 305 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (9 papers), Ovarian cancer diagnosis and treatment (5 papers), Cervical Cancer and HPV Research (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), Cancer Genomics and Diagnostics (3 papers), Genetic factors in colorectal cancer (3 papers), Economic and Financial Impacts of Cancer (2 papers) and Minimally Invasive Surgical Techniques (2 papers). The work is most often cited by research in Health Informatics (5 citations), Genetics (81 citations), Obstetrics and Gynecology (16 citations), Reproductive Medicine (16 citations) and Epidemiology (52 citations). Emily Webster has collaborated with scholars based in United States, Qatar and United Kingdom. Frequent co-authors include Melissa K. Frey, Kathryn Repas, Bechien U. Wu, Tom L. Whitlock, April S. Tignor, Darwin L. Conwell, Muhammad Danyal Ahsan, Kevin Holcomb, Peter A. Banks and Eloise Chapman‐Davis. Their work appears in journals such as Gynecologic Oncology, Journal of Clinical Oncology, Journal of Gynecologic Oncology, Molecular Case Studies and International Journal of Gynecological 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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