Kay L. Saving

652 total citations
23 papers, 375 citations indexed

About

Kay L. Saving is a scholar working on Hematology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kay L. Saving has authored 23 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 7 papers in Genetics and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kay L. Saving's work include Hemoglobinopathies and Related Disorders (7 papers), Platelet Disorders and Treatments (4 papers) and Blood disorders and treatments (4 papers). Kay L. Saving is often cited by papers focused on Hemoglobinopathies and Related Disorders (7 papers), Platelet Disorders and Treatments (4 papers) and Blood disorders and treatments (4 papers). Kay L. Saving collaborates with scholars based in United States and Romania. Kay L. Saving's co-authors include Venkata Ramesh Dasari, Jasti S. Rao, Meena Gujrati, Dzung H. Dinh, Johnna Maragos, James R. Hocker, Daniel G. Spomar, Christopher S. Gondi, Anne Davoren and Denise Adams and has published in prestigious journals such as Blood, Neurobiology of Disease and Journal of Neurotrauma.

In The Last Decade

Kay L. Saving

22 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kay L. Saving United States 12 165 119 55 54 49 23 375
Andrew Loughney United Kingdom 13 57 0.3× 70 0.6× 27 0.5× 73 1.4× 33 0.7× 24 513
Gaurav Tyagi India 11 72 0.4× 91 0.8× 34 0.6× 107 2.0× 68 1.4× 48 560
Gottardo De Angelis Italy 9 235 1.4× 49 0.4× 27 0.5× 19 0.4× 22 0.4× 19 414
Consuelo Mancías‐Guerra Mexico 11 183 1.1× 170 1.4× 7 0.1× 75 1.4× 31 0.6× 31 436
Melissa J. Rose United States 12 215 1.3× 51 0.4× 9 0.2× 54 1.0× 62 1.3× 30 379
Paul Blaker United Kingdom 11 55 0.3× 25 0.2× 59 1.1× 66 1.2× 15 0.3× 29 588
Raine Tatara Japan 10 95 0.6× 132 1.1× 6 0.1× 49 0.9× 31 0.6× 23 286
Rosario Salazar‐Riojas Mexico 10 137 0.8× 85 0.7× 9 0.2× 37 0.7× 26 0.5× 38 336
Lulin Choubtum Thailand 11 124 0.8× 161 1.4× 21 0.4× 23 0.4× 20 0.4× 22 454
Satoshi Osaga Japan 11 48 0.3× 52 0.4× 11 0.2× 69 1.3× 78 1.6× 48 424

Countries citing papers authored by Kay L. Saving

Since Specialization
Citations

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

Fields of papers citing papers by Kay L. Saving

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay L. Saving. 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 Kay L. Saving. The network helps show where Kay L. Saving may publish in the future.

Co-authorship network of co-authors of Kay L. Saving

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

All Works

20 of 20 papers shown
1.
Shah, Binal N., Xu Zhang, Larissa Verda, et al.. (2025). Transferrin and protection from thrombosis in sickle cell disease. Blood. 146(Supplement 1). 1357–1357.
2.
Nocek, Judith M., Donald Brambilla, Sara Jacobs, et al.. (2024). Social determinants of health and treatment center affiliation: analysis from the sickle cell disease implementation consortium registry. BMC Health Services Research. 24(1). 291–291. 2 indexed citations
3.
Meier, Emily Riehm, Susan E. Creary, Matthew M. Heeney, et al.. (2020). Hydroxyurea Optimization through Precision Study (HOPS): study protocol for a randomized, multicenter trial in children with sickle cell anemia. Trials. 21(1). 983–983. 11 indexed citations
4.
Shook, Lisa M., Karen Kalinyak, Stephen C. Nelson, et al.. (2016). Translating sickle cell guidelines into practice for primary care providers with Project ECHO. Medical Education Online. 21(1). 33616–33616. 29 indexed citations
5.
Dasari, Venkata Ramesh, Krishna Kumar Veeravalli, Kay L. Saving, et al.. (2008). Neuroprotection by cord blood stem cells against glutamate-induced apoptosis is mediated by Akt pathway. Neurobiology of Disease. 32(3). 486–498. 47 indexed citations
6.
Dasari, Venkata Ramesh, Daniel G. Spomar, Christopher S. Gondi, et al.. (2007). Axonal Remyelination by Cord Blood Stem Cells after Spinal Cord Injury. Journal of Neurotrauma. 24(2). 391–410. 86 indexed citations
7.
Davoren, Anne, Kay L. Saving, Janice G. McFarland, R. C. Aster, & Brian R. Curtis. (2004). Neonatal neutropenia and bacterial sepsis associated with placental transfer of maternal neutrophil‐specific autoantibodies. Transfusion. 44(7). 1041–1046. 35 indexed citations
8.
Saving, Kay L., et al.. (2003). CD62 Expression During Thrombus Formation. Journal of Pediatric Hematology/Oncology. 25(3). 266–269. 1 indexed citations
10.
Saving, Kay L., et al.. (2002). Differences in Adhesion Receptor Expression Between Immature and Older Platelets and Red Blood Cells of Neonates and Adults. ˜The œAmerican journal of pediatric hematology/oncology. 24(2). 120–124. 12 indexed citations
11.
Saving, Kay L., et al.. (2001). Association of Whole Blood Aggregation Response with Immunogold-Labeled Glycoproteins in Adult and Neonatal Platelets. Thrombosis Research. 101(2). 73–81. 7 indexed citations
12.
Maragos, Johnna, et al.. (2000). Impaired Platelet-Dense Granule Release in Neonates. ˜The œAmerican journal of pediatric hematology/oncology. 22(2). 143–147. 26 indexed citations
13.
Adams, Denise, et al.. (1996). Flow Cytometry of Neonatal Platelet RNA. Journal of Pediatric Hematology/Oncology. 18(3). 277–281. 23 indexed citations
14.
Hocker, James R. & Kay L. Saving. (1995). Fatal aortic thrombosis in a neonate during infusion of epsilon-aminocaproic acid. Journal of Pediatric Surgery. 30(10). 1490–1492. 24 indexed citations
15.
Saving, Kay L., et al.. (1994). Platelet ultrastructure of high-risk premature infants. Thrombosis Research. 73(6). 371–384. 19 indexed citations
16.
Gordon, Bruce G., et al.. (1991). Cerebral infarction associated with protein C deficiency following allogeneic bone marrow transplantation.. PubMed. 8(4). 323–5. 13 indexed citations
17.
Saving, Kay L., et al.. (1991). Electron microscopic characterization of neonatal platelet ultrastructure: Effects of sampling techniques. Thrombosis Research. 61(1). 65–80. 12 indexed citations
18.
Saving, Kay L., et al.. (1987). Post-splenectomy sepsis.. PubMed. 88(4). 119–20, 124. 3 indexed citations
19.
Saving, Kay L., Bruce F. Kimler, & Tribhawan S. Vats. (1986). Intraperitoneal Bleomycin for Ventriculoperitoneal Spread of a Hypothalamic Astrocytoma. PubMed. 3(3). 205–210. 4 indexed citations
20.
Watanabe, Masayo, et al.. (1986). Prolonged echo viral meningitis in a cancer patient with normal serum immunoglobulins. Medical and Pediatric Oncology. 14(6). 342–344. 4 indexed citations

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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