Gary Longton
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 29
- Transplantation top 2%
- Immunology top 2%
- T-cell and B-cell Immunology 11
- Oncology top 2%
- Global Cancer Incidence and Screening 12
- Cutaneous Melanoma Detection and Management 8
- Polyomavirus and related diseases 6
- Statistics and Probability top 1%
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- AI in cancer detection 12
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- Esophageal Cancer Research and Treatment 6
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- Mesenchymal stem cell research 6
- Co-authors
- Margaret S. PepePatricia L. BlountDouglas S. LevineRainer StorbPeter S. RabinovitchClaudio AnasettiHolly JanesBrian J. Reid
- Cited by
- HematologyTransplantationImmunology
- Partner nations
- United StatesSouth AfricaFrance
In The Last Decade
Gary Longton
85 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Hematology 1.7k
- Transplantation 214
- Immunology 1.3k
- Oncology 1.6k
- Statistics and Probability 371
Countries citing papers authored by Gary Longton
This map shows the geographic impact of Gary Longton'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 Gary Longton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Longton more than expected).
Fields of papers citing papers by Gary Longton
This network shows the impact of papers produced by Gary Longton. 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 Gary Longton. The network helps show where Gary Longton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary Longton, 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 | 2021 | 27 | |
| 2 | 2019 | 32 | |
| 3 | 2017 | 20 | |
| 4 | 2017 | 274 | |
| 5 | 2014 | 13 | |
| 6 | 2010 | 83 | |
| 7 | 2008 | 307 | |
| 8 | 2007 | 4 | |
| 9 | 2005 | 47 | |
| 10 | 2003 | 62 | |
| 11 | 2001 | 278 | |
| 12 | 2001 | 41 | |
| 13 | Predictors of Progression To Cancer in Barrett's Esophagus: Baseline Histology and Flow Cytometry Identify Low- and High-Risk Patient Subsetsbreakdown → | 2000 | 481 |
| 14 | 1999 | 78 | |
| 15 | 1999 | 121 | |
| 16 | 1997 | 11 | |
| 17 | 1993 | 72 | |
| 18 | 1988 | 13 | |
| 19 | 1988 | 59 | |
| 20 | 1988 | 40 |
About Gary Longton
Gary Longton is a scholar working on Hematology, Transplantation and Oncology, having authored 87 papers that have together received 7.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (29 papers), Global Cancer Incidence and Screening (12 papers), AI in cancer detection (12 papers), T-cell and B-cell Immunology (11 papers), Cutaneous Melanoma Detection and Management (8 papers), Esophageal Cancer Research and Treatment (6 papers), Polyomavirus and related diseases (6 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Hematology (1.7k citations), Transplantation (214 citations) and Immunology (1.3k citations). Gary Longton has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include Margaret S. Pepe, Patricia L. Blount, Douglas S. Levine, Rainer Storb, Peter S. Rabinovitch, Claudio Anasetti, Holly Janes, Brian J. Reid, M. S. Pepe and Laura J. Prevo. Their work appears in journals such as Blood, British Journal of Haematology, Statistics in Medicine, Human Immunology and The Stata Journal Promoting communications on statistics and Stata.
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.