Kathy Gratton

553 citations
24 papers · 440 · h-index 8

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • CAR-T cell therapy research
    • PARP inhibition in cancer therapy
    • Peptidase Inhibition and Analysis

Papers in

Kathy Gratton

21 papers receiving 429 citations

Peers

Kathy Gratton
Comparison fields: 5 of 51
  • Hematology 172
  • Oncology 172
  • Molecular Biology 276
  • Genetics 83
  • Immunology 54
Replace Bon Ham Yip with:
Bon Ham Yip United Kingdom
Tomas Bos Belgium
T Moritz United States
Semjon Willier Germany
Mark Wade United Kingdom
Toon F.C.M. Smetsers Netherlands
Susan K. Rathe United States
U Bregula Sweden
Sascha Haubner Germany
Amy M. Skinner United States
Kathy Gratton relative to Bon Ham Yip United Kingdom Bon Ham Yip's profile →
Citations per field
00.5×1.5×1.9×
Bon Ham Yip · 1×
Citations per year

Countries citing papers authored by Kathy Gratton

Since Specialization
Citations

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

Fields of papers citing papers by Kathy Gratton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011134
2 2011126
3 201848
4 201633
5 199831
6 201921
7 201210
8 20097
9 20135
10 20124
11 20114
12 20114
13 20162
14 20132
15 20152
16 20051
17
Development of a YAC contig covering the minimal region of a CSNB1 locus in Xp11
19941
18 20101
19 20121
20 20091

About Kathy Gratton

Kathy Gratton is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Cancer Research, having authored 24 papers that have together received 440 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Virus-based gene therapy research (5 papers), PARP inhibition in cancer therapy (4 papers), Cancer Research and Treatments (4 papers), CAR-T cell therapy research (3 papers), Cancer Mechanisms and Therapy (3 papers), Cell Adhesion Molecules Research (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Hematology (172 citations), Oncology (172 citations), Molecular Biology (276 citations), Genetics (83 citations) and Immunology (54 citations). Kathy Gratton has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Nizar J. Bahlis, Douglas A. Stewart, Paola Neri, Peter Duggan, Adnan Mansoor, Li Ren, Alexander C. Klimowicz, Lawrence Boise, Pierfrancesco Tassone and Ahmed Mostafa. Their work appears in journals such as Blood, Cancer Immunology Research, Clinical Cancer Research, The Journal of Immunology and The American Journal of Human Genetics.

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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