S Schryber
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Oncology top 10%
- Cancer Treatment and Pharmacology
- Neutropenia and Cancer Infections
- Cancer Cells and Metastasis
Papers in
- Oncology 7
- Cancer Treatment and Pharmacology 5
- Neutropenia and Cancer Infections 2
- Chemokine receptors and signaling 1
-
- Acute Myeloid Leukemia Research 2
- Co-authors
- Joseph P. Eder (8 shared papers)Karen H. Antman (6 shared papers)W. David Henner (4 shared papers)Lowell E. Schnipper (5 shared papers)W. P. Peters (3 shared papers)Anthony Elias (4 shared papers)Robert W. Finberg (3 shared papers)M. Tracie Shea (2 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)JNCI Journal of the National Cancer Institute (1 paper)Clinical Science (1 paper)PubMed (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
S Schryber
9 papers receiving 421 citations
Peers
Comparison fields: 5 of 53
- Hematology 143
- Oncology 258
- Cancer Research 107
- Pathology and Forensic Medicine 82
- Neurology 55
Countries citing papers authored by S Schryber
This map shows the geographic impact of S Schryber'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 S Schryber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Schryber more than expected).
Fields of papers citing papers by S Schryber
This network shows the impact of papers produced by S Schryber. 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 S Schryber. The network helps show where S Schryber may publish in the future.
Co-authors
The 25 scholars most cited alongside S Schryber, 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 | 1986 | 103 | |
| 2 | 1986 | 96 | |
| 3 | 1990 | 67 | |
| 4 | 1988 | 42 | |
| 5 | 1991 | 39 | |
| 6 | High-dose combination alkylating agent preparative regimen with autologous bone marrow support: the Dana-Farber Cancer Institute/Beth Israel Hospital experience. | 1987 | 37 |
| 7 | High-dose thiotepa alone and in combination regimens with bone marrow support. | 1990 | 30 |
| 8 | 1989 | 14 | |
| 9 | Prediction of the optimal timing of bone marrow reinfusion after high dose chemotherapy. | 1986 | 7 |
About S Schryber
S Schryber is a scholar working on Oncology, Hematology, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 9 papers that have together received 435 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (5 papers), Acute Myeloid Leukemia Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Neutropenia and Cancer Infections (2 papers), Neuroblastoma Research and Treatments (2 papers), Chemokine receptors and signaling (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Hematology (143 citations), Oncology (258 citations), Cancer Research (107 citations), Pathology and Forensic Medicine (82 citations) and Neurology (55 citations). S Schryber has collaborated with scholars based in United States and Germany. Frequent co-authors include Joseph P. Eder, Karen H. Antman, W. David Henner, Lowell E. Schnipper, W. P. Peters, Anthony Elias, Robert W. Finberg, M. Tracie Shea, Thomas C. Shea and Beverly A. Teicher. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute, Clinical Science 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.