Katherine D. Cummins

3.0k total citations · 1 hit paper
18 papers, 595 citations indexed

About

Katherine D. Cummins is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Katherine D. Cummins has authored 18 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 10 papers in Molecular Biology and 5 papers in Hematology. Recurrent topics in Katherine D. Cummins's work include CAR-T cell therapy research (10 papers), CRISPR and Genetic Engineering (4 papers) and Virus-based gene therapy research (3 papers). Katherine D. Cummins is often cited by papers focused on CAR-T cell therapy research (10 papers), CRISPR and Genetic Engineering (4 papers) and Virus-based gene therapy research (3 papers). Katherine D. Cummins collaborates with scholars based in United States, Australia and Israel. Katherine D. Cummins's co-authors include Saar Gill, Selene Nuñez-Cruz, Adrian Cantu, John Leferovich, Saba Ghassemi, Marilia Rita Pinzone, Michael C. Milone, Joseph S. Durgin, Jai Patel and Frederic D. Bushman and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Cancer Research.

In The Last Decade

Katherine D. Cummins

16 papers receiving 589 citations

Hit Papers

Rapid manufacturing of non-activated potent CAR T cells 2022 2026 2023 2024 2022 50 100 150

Peers

Katherine D. Cummins
Comparison fields: 5 of 38
  • Oncology 408
  • Molecular Biology 281
  • Hematology 175
  • Genetics 147
  • Immunology 123
Replace Chenggong Li with:
Chenggong Li China
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Yvette Bernal United States
Chunrong Tong China
Margot J. Pont United States
Brigitte Neuber Germany
Sascha Haubner Germany
Julian Rydzek Germany
Xiaming Zhu China
Feiyan Mo United States
Chenggong Li China View profile →
Citations per field, relative to Katherine D. Cummins
Katherine D. Cummins · 1×
Citations per year, relative to Katherine D. Cummins
Katherine D. Cummins · 1×

Countries citing papers authored by Katherine D. Cummins

Since Specialization
Citations

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

Fields of papers citing papers by Katherine D. Cummins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine D. Cummins. 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 Katherine D. Cummins. The network helps show where Katherine D. Cummins may publish in the future.

Co-authorship network of co-authors of Katherine D. Cummins

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine D. Cummins. A scholar is included among the top collaborators of Katherine D. Cummins 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 Katherine D. Cummins. Katherine D. Cummins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 1
5
Rapid manufacturing of non-activated potent CAR T cells breakdown →
184
6 1
7 32
8 4
9 52
10 3
11 1
12 50
13 92
14 124
15 28
16 11
17 1
18 6

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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