Kitty de Jong
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Hematology top 5%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Physiology 14
- Erythrocyte Function and Pathophysiology 14
- Genetics 7
- Hemoglobinopathies and Related Disorders 7
- Co-authors
- Frans A. Kuypers (9 shared papers)Lori Appel Styles (2 shared papers)Danielle Geldwerth (2 shared papers)Narla Mohandas (2 shared papers)Sandra K. Larkin (2 shared papers)Robert M. Bookchin (1 shared paper)Philip S. Low (1 shared paper)Michael P. Rettig (1 shared paper)
- Journals
- Blood (5 papers)Biochemistry (2 papers)British Journal of Haematology (1 paper)PeerJ (1 paper)Cytometry Part A (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Kitty de Jong
17 papers receiving 1.1k citations
Kitty de Jong's Hit Papers
Peers
Comparison fields: 5 of 96
- Genetics 361
- Hematology 264
- Physiology 544
- Pediatrics, Perinatology and Child Health 148
- Infectious Diseases 147
Countries citing papers authored by Kitty de Jong
This map shows the geographic impact of Kitty de Jong'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 Kitty de Jong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kitty de Jong more than expected).
Fields of papers citing papers by Kitty de Jong
This network shows the impact of papers produced by Kitty de Jong. 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 Kitty de Jong. The network helps show where Kitty de Jong may publish in the future.
Co-authors
The 25 scholars most cited alongside Kitty de Jong, 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 | Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics Hit paper breakdown → | 2021 | 260 |
| 2 | 1998 | 180 | |
| 3 | The role of phosphatidylserine in recognition and removal of erythrocytes. | 2004 | 131 |
| 4 | 2001 | 109 | |
| 5 | 2001 | 108 | |
| 6 | 2001 | 81 | |
| 7 | 1997 | 77 | |
| 8 | 2002 | 76 | |
| 9 | 2006 | 29 | |
| 10 | 1999 | 25 | |
| 11 | 2013 | 24 | |
| 12 | 1996 | 18 | |
| 13 | 1999 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2007 | 11 | |
| 16 | 1993 | 11 | |
| 17 | 2012 | 9 |
About Kitty de Jong
Kitty de Jong is a scholar working on Physiology, Genetics, Pediatrics, Perinatology and Child Health, Immunology and Hematology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (14 papers), Hemoglobinopathies and Related Disorders (7 papers), Neonatal Health and Biochemistry (5 papers), Blood properties and coagulation (4 papers), Lipid Membrane Structure and Behavior (3 papers), Phagocytosis and Immune Regulation (3 papers), Iron Metabolism and Disorders (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Genetics (361 citations), Hematology (264 citations), Physiology (544 citations), Pediatrics, Perinatology and Child Health (148 citations) and Infectious Diseases (147 citations). Kitty de Jong has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Frans A. Kuypers, Lori Appel Styles, Danielle Geldwerth, Narla Mohandas, Sandra K. Larkin, Robert M. Bookchin, Philip S. Low, Michael P. Rettig, James Thomas Butler and Jacob Bastacky. Their work appears in journals such as Blood, Biochemistry, British Journal of Haematology, PeerJ and Cytometry Part A.
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.