Mark D. Long
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Epigenetics and DNA Methylation 12
- RNA modifications and cancer 12
- Cancer-related gene regulation 5
- Oncology 18
- Cancer Immunotherapy and Biomarkers 7
- Co-authors
- Moray J. Campbell (14 shared papers)Dominic J. Smiraglia (10 shared papers)Song Liu (22 shared papers)Spencer R. Rosario (13 shared papers)Hayley C. Affronti (6 shared papers)Aryn M. Rowsam (4 shared papers)Kevin H. Eng (3 shared papers)Donald Küfe (16 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (6 papers)Oncogene (5 papers)Nature Communications (4 papers)Cancer Research (3 papers)Molecular Cancer Research (3 papers)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Mark D. Long
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 306
- Oncology 379
- Immunology 249
- Molecular Biology 727
- Pulmonary and Respiratory Medicine 207
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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 177 | |
| 2 | 2020 | 107 | |
| 3 | 2017 | 83 | |
| 4 | 2020 | 64 | |
| 5 | 2021 | 60 | |
| 6 | 2021 | 57 | |
| 7 | 2020 | 51 | |
| 8 | 2020 | 49 | |
| 9 | 2019 | 48 | |
| 10 | 2014 | 48 | |
| 11 | 2015 | 41 | |
| 12 | 2018 | 41 | |
| 13 | 2005 | 37 | |
| 14 | 2017 | 36 | |
| 15 | 2021 | 35 | |
| 16 | 2022 | 32 | |
| 17 | 2014 | 30 | |
| 18 | 2022 | 27 | |
| 19 | 2024 | 23 | |
| 20 | 2013 | 23 |
About Mark D. Long
Mark D. Long is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (12 papers), Prostate Cancer Treatment and Research (10 papers), Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (7 papers), Cancer-related gene regulation (5 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Cancer Research (306 citations), Oncology (379 citations), Immunology (249 citations), Molecular Biology (727 citations) and Pulmonary and Respiratory Medicine (207 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 H. Eng, Donald Küfe, Atsushi Fushimi and Nami Yamashita. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Oncogene, Nature Communications, Cancer Research and Molecular 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.