Kateri Moore
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 25
- Genetics top 0.5%
- Virus-based gene therapy research 8
- Immunology top 2%
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 9
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications 13
- Developmental Neuroscience top 2%
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- Epigenetics and DNA Methylation 16
- Pluripotent Stem Cells Research 13
- RNA Interference and Gene Delivery 8
- Co-authors
- Ihor R. LemischkaChristoph SchanielJason A. HackneyJohn T. DimosН. Б. ИвановаHideo EmaJeffrey S. MillerMichael Punzel
- Cited by
- HematologyGeneticsImmunology
- Journals
- Blood (14 papers)Annals of the New York Academy of Sciences (5 papers)Human Gene Therapy (4 papers)
- Partner nations
- United StatesPortugalFrance
In The Last Decade
Kateri Moore
72 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Hematology 2.0k
- Genetics 1.2k
- Immunology 1.2k
- Cell Biology 819
- Developmental Neuroscience 201
Countries citing papers authored by Kateri Moore
This map shows the geographic impact of Kateri Moore'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 Kateri Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kateri Moore more than expected).
Fields of papers citing papers by Kateri Moore
This network shows the impact of papers produced by Kateri Moore. 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 Kateri Moore. The network helps show where Kateri Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kateri Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 3 | |
| 2 | 2019 | 10 | |
| 3 | 2018 | 44 | |
| 4 | 2018 | 5 | |
| 5 | 2017 | 41 | |
| 6 | 2016 | 1 | |
| 7 | 2016 | 29 | |
| 8 | 2015 | 43 | |
| 9 | 2014 | 93 | |
| 10 | 2013 | 158 | |
| 11 | 2011 | 54 | |
| 12 | 2009 | 63 | |
| 13 | 2008 | 26 | |
| 14 | 2005 | 28 | |
| 15 | 2004 | 25 | |
| 16 | 2004 | 41 | |
| 17 | 2002 | 171 | |
| 18 | 1991 | 12 | |
| 19 | 1991 | 1 | |
| 20 | A simple method to determine gammaglutamyl-cyclotransferase activity in erythrocytes. | 1978 | 11 |
About Kateri Moore
Kateri Moore is a scholar working on Hematology, Cell Biology and Genetics, having authored 72 papers that have together received 6.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (25 papers), Epigenetics and DNA Methylation (16 papers), Zebrafish Biomedical Research Applications (13 papers), Pluripotent Stem Cells Research (13 papers), Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (9 papers), Virus-based gene therapy research (8 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Hematology (2.0k citations), Genetics (1.2k citations) and Immunology (1.2k citations). Kateri Moore has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Ihor R. Lemischka, Christoph Schaniel, Jason A. Hackney, John T. Dimos, Н. Б. Иванова, Hideo Ema, Jeffrey S. Miller, Michael Punzel, Jeffrey M. Bernitz and Brian P. Brunk. Their work appears in journals such as Blood, Annals of the New York Academy of Sciences, Human Gene Therapy, Science and Proceedings of the National Academy of Sciences.
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.