Katie Seu
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Physiology top 5%
- Erythrocyte Function and Pathophysiology
Papers in
- Physiology 32
- Erythrocyte Function and Pathophysiology 32
- Genetics 13
- Hemoglobinopathies and Related Disorders 13
- Co-authors
- Paul L. Dubin (2 shared papers)Ram Vanam (2 shared papers)Emek Seyrek (2 shared papers)Philip S. Low (9 shared papers)Theodosia A. Kalfa (24 shared papers)Pinaki R. Majhi (1 shared paper)Ken Ritchie (3 shared papers)Francesco Turrini (2 shared papers)
- Journals
- Blood (13 papers)Scientific Reports (2 papers)Journal of Visualized Experiments (2 papers)Frontiers in Physiology (2 papers)Langmuir (2 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
Katie Seu
36 papers receiving 862 citations
Peers
Comparison fields: 5 of 91
- Genetics 199
- Physiology 406
- Hematology 160
- Cell Biology 120
- Food Science 112
Countries citing papers authored by Katie Seu
This map shows the geographic impact of Katie Seu'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 Katie Seu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katie Seu more than expected).
Fields of papers citing papers by Katie Seu
This network shows the impact of papers produced by Katie Seu. 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 Katie Seu. The network helps show where Katie Seu may publish in the future.
Co-authors
The 25 scholars most cited alongside Katie Seu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 165 | |
| 2 | 2011 | 164 | |
| 3 | 2017 | 65 | |
| 4 | 2008 | 61 | |
| 5 | 2012 | 49 | |
| 6 | 2020 | 45 | |
| 7 | 2011 | 34 | |
| 8 | 2019 | 34 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 28 | |
| 11 | 2014 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2020 | 19 | |
| 14 | 2011 | 19 | |
| 15 | 2016 | 15 | |
| 16 | 2015 | 15 | |
| 17 | 2008 | 14 | |
| 18 | 2021 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2014 | 6 |
About Katie Seu
Katie Seu is a scholar working on Physiology, Genetics, Hematology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 37 papers that have together received 870 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (32 papers), Hemoglobinopathies and Related Disorders (13 papers), Blood groups and transfusion (10 papers), Blood properties and coagulation (10 papers), Lipid Membrane Structure and Behavior (4 papers), Neonatal Health and Biochemistry (4 papers), Single-cell and spatial transcriptomics (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Genetics (199 citations), Physiology (406 citations), Hematology (160 citations), Cell Biology (120 citations) and Food Science (112 citations). Katie Seu has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Paul L. Dubin, Ram Vanam, Emek Seyrek, Philip S. Low, Theodosia A. Kalfa, Pinaki R. Majhi, Ken Ritchie, Francesco Turrini, Emanuela Ferru and Estela Puchulu‐Campanella. Their work appears in journals such as Blood, Scientific Reports, Journal of Visualized Experiments, Frontiers in Physiology and Langmuir.
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.