Nathan Martin
Impact in
-
- CAR-T cell therapy research
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
- Oncology 17
- CAR-T cell therapy research 12
- Cancer Immunotherapy and Biomarkers 3
-
- DNA Repair Mechanisms 5
- Protein Degradation and Inhibitors 3
- Co-authors
- Richard A. Gatti (5 shared papers)Joshua C. Black (3 shared papers)Famke Aeffner (3 shared papers)Joseph S. Krueger (4 shared papers)Brad Bolon (1 shared paper)Cris L. Luengo Hendriks (1 shared paper)Shareef Nahas (3 shared papers)Roberto Gianani (1 shared paper)
- Journals
- Blood (9 papers)Journal of Clinical Oncology (3 papers)Cancer Research (2 papers)HemaSphere (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Nathan Martin
32 papers receiving 533 citations
Peers
Comparison fields: 5 of 96
- Oncology 156
- Biophysics 34
- Cancer Research 77
- Hematology 45
- Molecular Biology 240
Countries citing papers authored by Nathan Martin
This map shows the geographic impact of Nathan Martin'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 Nathan Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Martin more than expected).
Fields of papers citing papers by Nathan Martin
This network shows the impact of papers produced by Nathan Martin. 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 Nathan Martin. The network helps show where Nathan Martin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Martin, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 145 | |
| 2 | 2021 | 66 | |
| 3 | 2013 | 46 | |
| 4 | 2013 | 32 | |
| 5 | 2011 | 30 | |
| 6 | 2015 | 23 | |
| 7 | 2015 | 22 | |
| 8 | 2019 | 22 | |
| 9 | 2015 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2014 | 14 | |
| 12 | 2011 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2014 | 11 | |
| 15 | 2016 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2014 | 6 | |
| 20 | 'You Couldn't Pay Me Enough': Understanding Consumer Valuations and Ticket Price Efficiency for the Southern Heritage Classic | 2011 | 5 |
About Nathan Martin
Nathan Martin is a scholar working on Oncology, Molecular Biology, Hematology, Immunology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 543 indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Multiple Myeloma Research and Treatments (7 papers), DNA Repair Mechanisms (5 papers), Biosimilars and Bioanalytical Methods (5 papers), Sports, Gender, and Society (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Sport and Mega-Event Impacts (3 papers). The work is most often cited by research in Oncology (156 citations), Biophysics (34 citations), Cancer Research (77 citations), Hematology (45 citations) and Molecular Biology (240 citations). Nathan Martin has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Richard A. Gatti, Joshua C. Black, Famke Aeffner, Joseph S. Krueger, Brad Bolon, Cris L. Luengo Hendriks, Shareef Nahas, Roberto Gianani, Kristin Wilson and Daniel G. Rudmann. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Research, HemaSphere and Nature Communications.
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.