Kay E. Gurley

53 papers receiving 3.2k citations

Kay E. Gurley's Hit Papers

The murine gene p27Kip1 is haplo-insufficient for tumour suppression 1998 · 653 citations
6530+9+18Years since publication200400600

Peers

Kay E. Gurley
Comparison fields: 5 of 102
  • Transplantation 163
  • Oncology 1.1k
  • Immunology 721
  • Cancer Research 430
  • Molecular Biology 1.8k
Replace Jochen Gaedcke with:
Jochen Gaedcke Germany
Xiaowu Huang China
Stephan Macher‐Goeppinger Germany
Peer Flemming Germany
David W. Ho Hong Kong
Wen‐Ming Cong China
Cécile Demur France
N.V. Rajeshkumar United States
Peter Shintaku United States
Mara H. Sherman United States
Kay E. Gurley relative to Jochen Gaedcke Germany Jochen Gaedcke's profile →
Citations per field
00.5×1.5×2.3×
Jochen Gaedcke · 1×
Citations per year

Countries citing papers authored by Kay E. Gurley

Since Specialization
Citations

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

Fields of papers citing papers by Kay E. Gurley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay E. Gurley. 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 Kay E. Gurley. The network helps show where Kay E. Gurley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The murine gene p27Kip1 is haplo-insufficient for tumour suppression
Hit paper breakdown →
1998653
2 1990255
3 2014241
4 2007145
5 2014139
6 1985136
7 1993121
8 2001104
9 2012101
10 199981
11 200276
12 201172
13 200470
14 201466
15 200362
16
p53 induction and apoptosis in response to radio- and chemotherapy in vivo is tumor-type-dependent.
200161
17 198951
18 200751
19 200446
20 198945

About Kay E. Gurley

Kay E. Gurley is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Cancer Research, having authored 53 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (20 papers), DNA Repair Mechanisms (8 papers), Cancer Research and Treatments (8 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Renal Transplantation Outcomes and Treatments (4 papers), Xenotransplantation and immune response (4 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Transplantation (163 citations), Oncology (1.1k citations), Immunology (721 citations), Cancer Research (430 citations) and Molecular Biology (1.8k citations). Kay E. Gurley has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Christopher J. Kemp, Bruce M. Hall, Matthew L. Fero, James M. Roberts, NICHOLAS W. PEARCE, Susan E. Dorsch, Russell Moser, Karen S. Kelly‐Spratt, Margaret Jelbart and Denny Liggitt. Their work appears in journals such as Transplantation, Oncogene, Carcinogenesis, Cold Spring Harbor Protocols and The Journal of Immunology.

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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