Mark D. Long
Impact in
- Cancer Research top 5%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 23
- Cancer Immunotherapy and Biomarkers 10
- CAR-T cell therapy research 4
- Immunology 17
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 7
- Co-authors
- Moray J. Campbell (13 shared papers)Dominic J. Smiraglia (9 shared papers)Song Liu (21 shared papers)Spencer R. Rosario (12 shared papers)Hayley C. Affronti (6 shared papers)Aryn M. Rowsam (4 shared papers)Kevin Hasegawa Eng (3 shared papers)Donald W. Kufe (15 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (8 papers)Nature Communications (5 papers)Oncogene (4 papers)Molecular Cancer Research (3 papers)Cancers (3 papers)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Mark D. Long
77 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 399
- Oncology 610
- Immunology 412
- Molecular Biology 945
- Pathology and Forensic Medicine 172
Countries citing papers authored by Mark D. Long
This map shows the geographic impact of Mark D. 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 Mark D. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Long more than expected).
Fields of papers citing papers by Mark D. Long
This network shows the impact of papers produced by Mark D. 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 Mark D. Long. The network helps show where Mark D. Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. 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
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 190 | |
| 2 | 2020 | 129 | |
| 3 | 2020 | 118 | |
| 4 | 2021 | 91 | |
| 5 | 2017 | 87 | |
| 6 | 2021 | 85 | |
| 7 | 2019 | 72 | |
| 8 | 2021 | 69 | |
| 9 | 2020 | 66 | |
| 10 | 2021 | 59 | |
| 11 | 2020 | 53 | |
| 12 | 2014 | 51 | |
| 13 | 2020 | 51 | |
| 14 | 2018 | 50 | |
| 15 | 2019 | 50 | |
| 16 | 2018 | 47 | |
| 17 | 2005 | 44 | |
| 18 | 2015 | 42 | |
| 19 | 2017 | 38 | |
| 20 | 2014 | 36 |
About Mark D. Long
Mark D. Long is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), Epigenetics and DNA Methylation (12 papers), Prostate Cancer Treatment and Research (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (7 papers), Cancer Genomics and Diagnostics (4 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Cancer Research (399 citations), Oncology (610 citations), Immunology (412 citations), Molecular Biology (945 citations) and Pathology and Forensic Medicine (172 citations). Mark D. Long has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Moray J. Campbell, Dominic J. Smiraglia, Song Liu, Spencer R. Rosario, Hayley C. Affronti, Aryn M. Rowsam, Kevin Hasegawa Eng, Donald W. Kufe, Atsushi Fushimi and Nami Yamashita. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Nature Communications, Oncogene, Molecular Cancer Research and Cancers.
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.