Glaspy Ja
Impact in
- Virology top 10%
- HIV Research and Treatment
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Erythropoietin and Anemia Treatment
Papers in
- Oncology 4
- Neutropenia and Cancer Infections 4
-
- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- Golde Dw (5 shared papers)Mitsuyasu Rt (4 shared papers)J Moreno (4 shared papers)L Souza (1 shared paper)N. Kirby Alton (2 shared papers)Gayle Cocita Baldwin (2 shared papers)L Souza (3 shared papers)Lisa H. Butterfield (1 shared paper)
- Journals
- Blood (4 papers)PubMed (8 papers)
- Partner nations
- United States
In The Last Decade
Glaspy Ja
12 papers receiving 285 citations
Peers
Comparison fields: 5 of 45
- Virology 48
- Hematology 100
- Oncology 121
- Immunology 75
- Genetics 35
Countries citing papers authored by Glaspy Ja
This map shows the geographic impact of Glaspy Ja'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 Glaspy Ja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glaspy Ja more than expected).
Fields of papers citing papers by Glaspy Ja
This network shows the impact of papers produced by Glaspy Ja. 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 Glaspy Ja. The network helps show where Glaspy Ja may publish in the future.
Co-authors
The 9 scholars most cited alongside Glaspy Ja, 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 | 1991 | 110 | |
| 2 | 1990 | 44 | |
| 3 | Granulocyte colony-stimulating factor (G-CSF): preclinical and clinical studies. | 1992 | 29 |
| 4 | Clinical trials of myeloid growth factors. | 1990 | 20 |
| 5 | Antitumor protection using murine dendritic cells pulsed with acid-eluted peptides from in vivo grown tumors of different immunogenicities. | 1999 | 20 |
| 6 | Clinical applications of the myeloid growth factors. | 1989 | 18 |
| 7 | The UCLA experience with type I interferons in hairy cell leukemia. | 1987 | 18 |
| 8 | The colony-stimulating factors: biology and clinical use. | 1990 | 17 |
| 9 | Economic outcomes associated with the use of hematopoietic growth factors. | 1995 | 9 |
| 10 | The promise of colony-stimulating factors in clinical practice. | 1990 | 7 |
| 11 | 1991 | 5 | |
| 12 | 1990 | 2 |
About Glaspy Ja
Glaspy Ja is a scholar working on Oncology, Immunology, Genetics, Epidemiology and Hematology, having authored 12 papers that have together received 299 indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (4 papers), Blood disorders and treatments (3 papers), Mycobacterium research and diagnosis (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Blood groups and transfusion (2 papers), Erythropoietin and Anemia Treatment (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Hematological disorders and diagnostics (2 papers). The work is most often cited by research in Virology (48 citations), Hematology (100 citations), Oncology (121 citations), Immunology (75 citations) and Genetics (35 citations). Glaspy Ja has collaborated with scholars based in United States. Frequent co-authors include Golde Dw, Mitsuyasu Rt, J Moreno, L Souza, N. Kirby Alton, Gayle Cocita Baldwin, L Souza, Lisa H. Butterfield and Antoni Ribas. Their work appears in journals such as Blood and PubMed.
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.