Kate Oliver

22 papers receiving 329 citations

Peers

Kate Oliver
Comparison fields: 5 of 54
  • Reproductive Medicine 91
  • Obstetrics and Gynecology 65
  • Oncology 74
  • Pathology and Forensic Medicine 38
  • Cancer Research 27
Replace Johann Lahodny with:
Johann Lahodny Austria
Huiyu Zhuang China
Takuhei Yokoyama United States
A. Papadopoulos United Kingdom
Omer Devaja United Kingdom
Liudmila Velikokhatnaya United States
Eva Glud Denmark
Shannon Diane MacLaughlan United States
Marta Llauradó Fernández Canada
Kate Oliver relative to Johann Lahodny Austria Johann Lahodny's profile →
Citations per field
00.5×2×2.8×
Johann Lahodny · 1×
Citations per year

Countries citing papers authored by Kate Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Kate Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 201775
3 201149
4 201135
5 201418
6 202210
7 20088
8 20118
9 20177
10 20096
11 20156
12 20125
13 20103
14 20123
15 20192
16 20242
17
Improved estimation of tumour burden leads to better prognostic discrimination in classical hodgkin's disease in adults
20001
18 20101
19 20141
20 20191

About Kate Oliver

Kate Oliver is a scholar working on Oncology, Obstetrics and Gynecology, Pathology and Forensic Medicine, Reproductive Medicine and Hematology, having authored 23 papers that have together received 335 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Molecular Biology Techniques and Applications (2 papers), HER2/EGFR in Cancer Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Reproductive Medicine (91 citations), Obstetrics and Gynecology (65 citations), Oncology (74 citations), Pathology and Forensic Medicine (38 citations) and Cancer Research (27 citations). Kate Oliver has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include John H. Farley, Caela R. Miller, George Larry Maxwell, Thomas P. Conrads, Chad A. Hamilton, Lindsey Enewold, G. Scott Rose, Kangmin Zhu, David G. Mutch and Krishnansu S. Tewari. Their work appears in journals such as Gynecologic Oncology, Journal of Proteome Research, Neuro-Oncology, EBioMedicine and Annals of Oncology.

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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