Kathleen Gray

788 total citations · 1 hit paper
33 papers, 539 citations indexed

About

Kathleen Gray is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Kathleen Gray has authored 33 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 16 papers in Hematology and 8 papers in Molecular Biology. Recurrent topics in Kathleen Gray's work include Multiple Myeloma Research and Treatments (16 papers), Protein Degradation and Inhibitors (7 papers) and Viral-associated cancers and disorders (6 papers). Kathleen Gray is often cited by papers focused on Multiple Myeloma Research and Treatments (16 papers), Protein Degradation and Inhibitors (7 papers) and Viral-associated cancers and disorders (6 papers). Kathleen Gray collaborates with scholars based in United States, United Kingdom and Netherlands. Kathleen Gray's co-authors include Samuel H. Speck, John R. Anderson, R. B. Goudie, G. P. Sandilands, John R. Anderson, J. McQuillin, Donald E. Macfarlane, R. G. Sommerville, J. Craig Forrest and Janice M. Moser and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

Kathleen Gray

30 papers receiving 484 citations

Hit Papers

GPRC5D as a novel target for the treatment of multiple my... 2024 2026 2025 2024 10 20 30 40 50

Peers

Kathleen Gray
Comparison fields: 5 of 76
  • Oncology 168
  • Epidemiology 115
  • Immunology 115
  • Molecular Biology 102
  • Hematology 98
Replace Derek K. Marsee with:
Derek K. Marsee United States
M Dougal United Kingdom
K. Quabeck Germany
Roula Farah Lebanon
Hisashi Tsutsumi Japan
Stine Roug Denmark
F Oberling France
P. Papanastasiou Switzerland
Joanna Osada Poland
Dona Fleishaker United States
Derek K. Marsee United States View profile →
Citations per field, relative to Kathleen Gray
Kathleen Gray · 1×
Citations per year, relative to Kathleen Gray
Kathleen Gray · 1×

Countries citing papers authored by Kathleen Gray

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathleen Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen Gray. A scholar is included among the top collaborators of Kathleen Gray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kathleen Gray. Kathleen Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 2
5 1
6
GPRC5D as a novel target for the treatment of multiple myeloma: a narrative review breakdown →
51
7 3
8 19
9 0
10 2
11 7
12 1
13 1
14 18
15 1
16 14
17 31
18 2
19 16
20 17

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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