Sandra J. Nance
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Platelet Disorders and Treatments
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 24
- Blood groups and transfusion 22
- Platelet Disorders and Treatments 3
- Physiology 15
- Erythrocyte Function and Pathophysiology 15
- Co-authors
- George Garratty (11 shared papers)Patricia A. Arndt (3 shared papers)Janice M. Nelson (2 shared papers)G. Lucas (1 shared paper)David F. Friedman (2 shared papers)Andrew G. Hadley (1 shared paper)Lawrence Platt (1 shared paper)Janet Horenstein (1 shared paper)
- Journals
- Transfusion (9 papers)American Journal of Clinical Pathology (3 papers)Vox Sanguinis (2 papers)Journal of Immunological Methods (1 paper)Immunohematology (4 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sandra J. Nance
25 papers receiving 460 citations
Peers
Comparison fields: 5 of 39
- Hematology 448
- Physiology 323
- Genetics 108
- Biochemistry 55
- Genetics 148
Countries citing papers authored by Sandra J. Nance
This map shows the geographic impact of Sandra J. Nance'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 Sandra J. Nance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra J. Nance more than expected).
Fields of papers citing papers by Sandra J. Nance
This network shows the impact of papers produced by Sandra J. Nance. 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 Sandra J. Nance. The network helps show where Sandra J. Nance may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra J. Nance, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 107 | |
| 2 | 1987 | 86 | |
| 3 | 1989 | 63 | |
| 4 | 1990 | 57 | |
| 5 | 1989 | 34 | |
| 6 | 1987 | 32 | |
| 7 | 1993 | 29 | |
| 8 | 2006 | 17 | |
| 9 | 1992 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 1988 | 8 | |
| 12 | 1988 | 8 | |
| 13 | Naturally-occurring anti-Jka in infant twins. | 1999 | 8 |
| 14 | 1995 | 7 | |
| 15 | 2007 | 5 | |
| 16 | 1984 | 4 | |
| 17 | 2000 | 3 | |
| 18 | 2009 | 3 | |
| 19 | 1988 | 3 | |
| 20 | 2008 | 2 |
About Sandra J. Nance
Sandra J. Nance is a scholar working on Hematology, Physiology, Genetics, Genetics and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 502 indexed citations. Recurring topics across this work include Blood groups and transfusion (22 papers), Erythrocyte Function and Pathophysiology (15 papers), Hemoglobinopathies and Related Disorders (7 papers), Blood disorders and treatments (7 papers), Neonatal Health and Biochemistry (3 papers), Platelet Disorders and Treatments (3 papers), Complement system in diseases (2 papers) and Blood transfusion and management (2 papers). The work is most often cited by research in Hematology (448 citations), Physiology (323 citations), Genetics (108 citations), Biochemistry (55 citations) and Genetics (148 citations). Sandra J. Nance has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include George Garratty, Patricia A. Arndt, Janice M. Nelson, G. Lucas, David F. Friedman, Andrew G. Hadley, Lawrence Platt, Janet Horenstein, Deborah Sesok‐Pizzini and Kim Smith‐Whitley. Their work appears in journals such as Transfusion, American Journal of Clinical Pathology, Vox Sanguinis, Journal of Immunological Methods and Immunohematology.
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.