Stacey Goodman
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Microbiology top 2%
Papers in
- Hematology 36
- Hematopoietic Stem Cell Transplantation 22
- Acute Myeloid Leukemia Research 14
- Multiple Myeloma Research and Treatments 8
- Co-authors
- Sergio GiraltJoseph H. AntinWilliam R. DrobyskiRobert H. CollinsAlan F. ListYing-Qiu GuDavid PorterWilliam S. Dalton
- Journals
- Biology of Blood and Marrow Transplantation (17 papers)Bone Marrow Transplantation (8 papers)Blood (7 papers)Journal of Clinical Oncology (3 papers)Clinical Infectious Diseases (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Stacey Goodman
60 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Hematology 1.2k
- Microbiology 58
- Immunology 664
- Genetics 277
- Oncology 613
Countries citing papers authored by Stacey Goodman
This map shows the geographic impact of Stacey Goodman'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 Stacey Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacey Goodman more than expected).
Fields of papers citing papers by Stacey Goodman
This network shows the impact of papers produced by Stacey Goodman. 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 Stacey Goodman. The network helps show where Stacey Goodman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stacey Goodman, 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 | 2020 | 1 | |
| 2 | 2019 | 3 | |
| 3 | 2019 | 5 | |
| 4 | 2018 | 13 | |
| 5 | 2017 | 27 | |
| 6 | 2017 | 6 | |
| 7 | 2017 | 47 | |
| 8 | 2016 | 7 | |
| 9 | 2016 | 13 | |
| 10 | 2012 | 51 | |
| 11 | 2012 | 3 | |
| 12 | 2012 | 5 | |
| 13 | 2009 | 50 | |
| 14 | 2006 | 36 | |
| 15 | 2000 | 27 | |
| 16 | 2000 | 20 | |
| 17 | 1999 | 34 | |
| 18 | Donor leukocyte infusions in 140 patients with relapsed malignancy after allogeneic bone marrow transplantation. Hit paper breakdown → | 1997 | 993 |
| 19 | 1996 | 69 | |
| 20 | 1995 | 19 |
About Stacey Goodman
Stacey Goodman is a scholar working on Hematology, Microbiology, Oncology, Transplantation and Pathology and Forensic Medicine, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (22 papers), Acute Myeloid Leukemia Research (14 papers), Lymphoma Diagnosis and Treatment (12 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Multiple Myeloma Research and Treatments (8 papers), Viral-associated cancers and disorders (7 papers), Acute Lymphoblastic Leukemia research (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Hematology (1.2k citations), Microbiology (58 citations), Immunology (664 citations), Genetics (277 citations) and Oncology (613 citations). Stacey Goodman has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Sergio Giralt, Joseph H. Antin, William R. Drobyski, Robert H. Collins, Alan F. List, Ying-Qiu Gu, David Porter, William S. Dalton, Richard E. Champlin and Catherine M. Verfaillie. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Blood, Journal of Clinical Oncology and Clinical Infectious Diseases.
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.