Graham W. Slack
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 81
- Oncology 37
- Viral-associated cancers and disorders 24
- CAR-T cell therapy research 10
- Co-authors
- Randy D. Gascoyne (39 shared papers)Laurie H. Sehn (57 shared papers)Joseph M. Connors (48 shared papers)Kerry J. Savage (59 shared papers)David W. Scott (51 shared papers)Christian Steidl (30 shared papers)Diego Villa (49 shared papers)King Tan (11 shared papers)
- Journals
- Blood (39 papers)British Journal of Haematology (11 papers)Blood Advances (6 papers)Journal of Clinical Oncology (6 papers)Hematological Oncology (3 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Graham W. Slack
89 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 74
- Pathology and Forensic Medicine 1.6k
- Genetics 571
- Oncology 970
- Neurology 509
- Dermatology 132
Countries citing papers authored by Graham W. Slack
This map shows the geographic impact of Graham W. Slack'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 Graham W. Slack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham W. Slack more than expected).
Fields of papers citing papers by Graham W. Slack
This network shows the impact of papers produced by Graham W. Slack. 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 Graham W. Slack. The network helps show where Graham W. Slack may publish in the future.
Co-authors
The 25 scholars most cited alongside Graham W. Slack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 233 | |
| 2 | 2018 | 149 | |
| 3 | 2014 | 128 | |
| 4 | 2012 | 127 | |
| 5 | 2016 | 125 | |
| 6 | 2011 | 115 | |
| 7 | 2011 | 98 | |
| 8 | 2019 | 87 | |
| 9 | 2000 | 78 | |
| 10 | 2016 | 70 | |
| 11 | 2014 | 66 | |
| 12 | 2014 | 63 | |
| 13 | 2017 | 52 | |
| 14 | 2020 | 48 | |
| 15 | 2012 | 44 | |
| 16 | 2015 | 43 | |
| 17 | 2020 | 42 | |
| 18 | 2016 | 41 | |
| 19 | 2012 | 40 | |
| 20 | 2017 | 39 |
About Graham W. Slack
Graham W. Slack is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (81 papers), Chronic Lymphocytic Leukemia Research (30 papers), Viral-associated cancers and disorders (24 papers), CNS Lymphoma Diagnosis and Treatment (22 papers), CAR-T cell therapy research (10 papers), Lung Cancer Treatments and Mutations (8 papers), T-cell and Retrovirus Studies (5 papers) and Sarcoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.6k citations), Genetics (571 citations), Oncology (970 citations), Neurology (509 citations) and Dermatology (132 citations). Graham W. Slack has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Randy D. Gascoyne, Laurie H. Sehn, Joseph M. Connors, Kerry J. Savage, David W. Scott, Christian Steidl, Diego Villa, King Tan, Alina S. Gerrie and Susana Ben‐Neriah. Their work appears in journals such as Blood, British Journal of Haematology, Blood Advances, Journal of Clinical Oncology and Hematological Oncology.
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.