SL Moulder
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in ⓘ
- Oncology 12
- Cancer Treatment and Pharmacology 8
- Cancer-related Molecular Pathways 3
- HER2/EGFR in Cancer Research 3
- Peptidase Inhibition and Analysis 3
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- Advanced Breast Cancer Therapies 7
- Brain Metastases and Treatment 2
- Co-authors
- JT Chang (1 shared paper)JK Litton (3 shared papers)Bora Lim (2 shared papers)Mustafa Khasraw (1 shared paper)Naoto T. Ueno (3 shared papers)Marleen Kok (1 shared paper)Eric Jonasch (1 shared paper)Daniel J. McGrail (1 shared paper)
- Journals
- Cancer Research (10 papers)Annals of Oncology (3 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
SL Moulder
15 papers receiving 812 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Oncology 620
- Cancer Research 243
- Pulmonary and Respiratory Medicine 354
- Immunology 202
- Genetics 56
Countries citing papers authored by SL Moulder
This map shows the geographic impact of SL Moulder'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 SL Moulder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SL Moulder more than expected).
Fields of papers citing papers by SL Moulder
This network shows the impact of papers produced by SL Moulder. 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 SL Moulder. The network helps show where SL Moulder may publish in the future.
Co-authors
The 25 scholars most cited alongside SL Moulder, 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 | High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types Hit paper breakdown → | 2021 | 672 |
| 2 | 2016 | 46 | |
| 3 | 2013 | 25 | |
| 4 | 2007 | 20 | |
| 5 | 2010 | 11 | |
| 6 | 2007 | 9 | |
| 7 | 2008 | 7 | |
| 8 | 2017 | 7 | |
| 9 | 2016 | 5 | |
| 10 | 2010 | 4 | |
| 11 | 2016 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2018 | 0 |
About SL Moulder
SL Moulder is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 16 papers that have together received 814 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Advanced Breast Cancer Therapies (7 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers), HER2/EGFR in Cancer Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Brain Metastases and Treatment (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Oncology (620 citations), Cancer Research (243 citations), Pulmonary and Respiratory Medicine (354 citations), Immunology (202 citations) and Genetics (56 citations). SL Moulder has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include JT Chang, JK Litton, Bora Lim, Mustafa Khasraw, Naoto T. Ueno, Marleen Kok, Eric Jonasch, Daniel J. McGrail, Renata Ferrarotto and Maarten Slagter. Their work appears in journals such as Cancer Research, Annals of Oncology and Journal of Clinical Oncology.
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.