Nathan O. Siemers
- Immunology top 5%
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 9
- CAR-T cell therapy research 2
- Cancer Research top 10%
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- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 3
- Glycosylation and Glycoproteins Research 2
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Scott D. ChasalowRui‐Ru JiDavid M. BermanLisu WangJohn CogswellOmid HamidVafa ShahabiJeffrey R. Jackson
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Nathan O. Siemers
28 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Immunology 751
- Oncology 941
- Cancer Research 272
- Pulmonary and Respiratory Medicine 337
- Molecular Biology 681
Countries citing papers authored by Nathan O. Siemers
This map shows the geographic impact of Nathan O. Siemers'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 O. Siemers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan O. Siemers more than expected).
Fields of papers citing papers by Nathan O. Siemers
This network shows the impact of papers produced by Nathan O. Siemers. 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 O. Siemers. The network helps show where Nathan O. Siemers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathan O. Siemers, 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 | 2024 | 4 | |
| 2 | 2023 | 36 | |
| 3 | 2021 | 57 | |
| 4 | 2021 | 76 | |
| 5 | Insights Gained from Single-Cell Analysis of Immune Cells in the Tumor Microenvironmentbreakdown → | 2021 | 236 |
| 6 | 2019 | 90 | |
| 7 | 2019 | 12 | |
| 8 | 2017 | 162 | |
| 9 | 2013 | 27 | |
| 10 | 2012 | 98 | |
| 11 | 2011 | 19 | |
| 12 | An immune-active tumor microenvironment favors clinical response to ipilimumabbreakdown → | 2011 | 593 |
| 13 | 2009 | 22 | |
| 14 | 2009 | 68 | |
| 15 | 2008 | 74 | |
| 16 | 2007 | 52 | |
| 17 | 2005 | 4 | |
| 18 | 2003 | 24 | |
| 19 | 1999 | 12 | |
| 20 | 1994 | 22 |
About Nathan O. Siemers
Nathan O. Siemers is a scholar working on Oncology, Immunology and Biotechnology, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Gene expression and cancer classification (5 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Bioinformatics and Genomic Networks (3 papers), Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (751 citations), Oncology (941 citations) and Cancer Research (272 citations). Nathan O. Siemers has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Scott D. Chasalow, Rui‐Ru Ji, David M. Berman, Lisu Wang, John Cogswell, Omid Hamid, Vafa Shahabi, Jeffrey R. Jackson, Maria Jure–Kunkel and Suresh Alaparthy. Their work appears in journals such as Bioconjugate Chemistry, Cancer Research, Tetrahedron Letters, Bioinformatics and PLoS ONE.
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.