Mark D. Long
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 24
- Cancer Immunotherapy and Biomarkers 15
- Immunology 15
- Immunotherapy and Immune Responses 12
- Co-authors
- Moray J. Campbell (13 shared papers)Dominic J. Smiraglia (9 shared papers)Song Liu (23 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 (14 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (8 papers)Nature Communications (5 papers)Oncogene (4 papers)Scientific Reports (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Mark D. Long
74 papers receiving 2k citations
Peers
Comparison fields: 5 of 82
- Oncology 553
- Cancer Research 303
- Immunology 285
- Pulmonary and Respiratory Medicine 330
- Pathology and Forensic Medicine 159
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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 192 | |
| 2 | 2020 | 131 | |
| 3 | 2020 | 120 | |
| 4 | 2021 | 93 | |
| 5 | 2017 | 87 | |
| 6 | 2021 | 86 | |
| 7 | 2019 | 73 | |
| 8 | 2021 | 72 | |
| 9 | 2020 | 68 | |
| 10 | 2021 | 61 | |
| 11 | 2020 | 54 | |
| 12 | 2020 | 54 | |
| 13 | 2019 | 53 | |
| 14 | 2014 | 52 | |
| 15 | 2018 | 50 | |
| 16 | 2018 | 49 | |
| 17 | 2015 | 42 | |
| 18 | 2017 | 38 | |
| 19 | 2014 | 36 | |
| 20 | 2021 | 36 |
About Mark D. Long
Mark D. Long is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 78 papers that have together received 2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (15 papers), Prostate Cancer Treatment and Research (14 papers), Immunotherapy and Immune Responses (12 papers), Epigenetics and DNA Methylation (8 papers), Vitamin D Research Studies (5 papers), Genomics and Chromatin Dynamics (5 papers), Chromatin Remodeling and Cancer (4 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Oncology (553 citations), Cancer Research (303 citations), Immunology (285 citations), Pulmonary and Respiratory Medicine (330 citations) and Pathology and Forensic Medicine (159 citations). Mark D. Long has collaborated with scholars based in United States, Japan and Canada. 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, Scientific Reports and Cancer Research.
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.