Alison Long
Impact in
- Hematology top 10%
- Hemophilia Treatment and Research
- Genetics top 10%
- Virus-based gene therapy research
- BRCA gene mutations in cancer
Papers in
- Co-authors
- G Fine (3 shared papers)John Hart (2 shared papers)Elif A Oral (2 shared papers)Anthony Howell (2 shared papers)Taylor Salinardi (2 shared papers)David B. Savage (2 shared papers)Shih–Fan Kuan (2 shared papers)D. Gareth Evans (2 shared papers)
- Journals
- Blood (3 papers)Journal of Clinical Oncology (3 papers)Psycho-Oncology (2 papers)Thrombosis and Haemostasis (1 paper)Applied immunohistochemistry & molecular morphology (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Alison Long
18 papers receiving 634 citations
Peers
Comparison fields: 5 of 58
- Hematology 114
- Genetics 254
- Endocrine and Autonomic Systems 48
- Oncology 151
- Molecular Biology 211
Countries citing papers authored by Alison Long
This map shows the geographic impact of Alison Long'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 Alison Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison Long more than expected).
Fields of papers citing papers by Alison Long
This network shows the impact of papers produced by Alison Long. 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 Alison Long. The network helps show where Alison Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Alison Long, 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 | 2018 | 108 | |
| 2 | 1998 | 105 | |
| 3 | 2022 | 103 | |
| 4 | 2019 | 102 | |
| 5 | 2019 | 74 | |
| 6 | 2000 | 63 | |
| 7 | 2018 | 22 | |
| 8 | 2000 | 16 | |
| 9 | 1998 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 1987 | 11 | |
| 12 | 2009 | 10 | |
| 13 | 2021 | 6 | |
| 14 | 2012 | 4 | |
| 15 | 2012 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2014 | 2 | |
| 18 | 2012 | 1 | |
| 19 | 2022 | 0 |
About Alison Long
Alison Long is a scholar working on Oncology, Genetics, Molecular Biology, Hematology and Biotechnology, having authored 19 papers that have together received 657 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Hemophilia Treatment and Research (3 papers), Cancer Cells and Metastasis (3 papers), BRCA gene mutations in cancer (2 papers), Hedgehog Signaling Pathway Studies (2 papers), CAR-T cell therapy research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Hematology (114 citations), Genetics (254 citations), Endocrine and Autonomic Systems (48 citations), Oncology (151 citations) and Molecular Biology (211 citations). Alison Long has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include G Fine, John Hart, Elif A Oral, Anthony Howell, Taylor Salinardi, David B. Savage, Shih–Fan Kuan, D. Gareth Evans, Phillip Görden and David Araújo‐Vilar. Their work appears in journals such as Blood, Journal of Clinical Oncology, Psycho-Oncology, Thrombosis and Haemostasis and Applied immunohistochemistry & molecular morphology.
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.