J. Kaitlin Morrison

554 total citations
17 papers, 380 citations indexed

About

J. Kaitlin Morrison is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, J. Kaitlin Morrison has authored 17 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 8 papers in Pathology and Forensic Medicine and 5 papers in Molecular Biology. Recurrent topics in J. Kaitlin Morrison's work include CAR-T cell therapy research (11 papers), Lymphoma Diagnosis and Treatment (8 papers) and CRISPR and Genetic Engineering (4 papers). J. Kaitlin Morrison is often cited by papers focused on CAR-T cell therapy research (11 papers), Lymphoma Diagnosis and Treatment (8 papers) and CRISPR and Genetic Engineering (4 papers). J. Kaitlin Morrison collaborates with scholars based in United States and Germany. J. Kaitlin Morrison's co-authors include Ethel Cesarman, Jia Ruan, Scott Ely, Ann S. LaCasce, John P. Leonard, Morton Coleman, Peter Martin, Rebecca Elstrom, Shing M. Lee and Julie M. Vose and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

J. Kaitlin Morrison

16 papers receiving 379 citations

Peers

J. Kaitlin Morrison
Comparison fields: 5 of 40
  • Pathology and Forensic Medicine 254
  • Oncology 230
  • Genetics 134
  • Molecular Biology 100
  • Neurology 50
Replace Nicole Adrian with:
Nicole Adrian Germany
Andy Chen United States
Ada Azaryan United States
Aesha Vakil United States
Yajuan Qin United States
Yngvild Nuvin Blaker Norway
Sylvia Snauwaert Belgium
Thomas Mika Germany
Nele Fourneau United States
Michelle Poon Singapore
Nicole Adrian Germany View profile →
Citations per field, relative to J. Kaitlin Morrison
J. Kaitlin Morrison · 1×
Citations per year, relative to J. Kaitlin Morrison
J. Kaitlin Morrison · 1×

Countries citing papers authored by J. Kaitlin Morrison

Since Specialization
Citations

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

Fields of papers citing papers by J. Kaitlin Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Kaitlin Morrison. 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 J. Kaitlin Morrison. The network helps show where J. Kaitlin Morrison may publish in the future.

Co-authorship network of co-authors of J. Kaitlin Morrison

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 0
3 8
4 2
5 4
6 1
7 28
8 6
9 36
10 4
11 6
12 13
13 10
14 7
15 17
16 2
17 235

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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