Ryan Golhar
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Peptidase Inhibition and Analysis
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 2
- RNA modifications and cancer 2
- Mitochondrial Function and Pathology 2
- Oncology 5
- Co-authors
- Chang Han (2 shared papers)William J. Geese (2 shared papers)Joseph D. Szustakowski (4 shared papers)Ariella Sasson (4 shared papers)Mark M. Awad (1 shared paper)Akin Atmaca (1 shared paper)Paolo A. Ascierto (1 shared paper)Emiliano Calvo (1 shared paper)
- Journals
- Annals of Oncology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)BMC Genomics (1 paper)Molecular Diagnosis & Therapy (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Ryan Golhar
13 papers receiving 1.3k citations
Ryan Golhar's Hit Papers
Peers
Comparison fields: 5 of 83
- Oncology 767
- Cancer Research 252
- Clinical Biochemistry 82
- Immunology 245
- Pulmonary and Respiratory Medicine 294
Countries citing papers authored by Ryan Golhar
This map shows the geographic impact of Ryan Golhar'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 Ryan Golhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Golhar more than expected).
Fields of papers citing papers by Ryan Golhar
This network shows the impact of papers produced by Ryan Golhar. 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 Ryan Golhar. The network helps show where Ryan Golhar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Golhar, 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 | Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer Hit paper breakdown → | 2018 | 670 |
| 2 | 2014 | 231 | |
| 3 | 2018 | 98 | |
| 4 | 2013 | 62 | |
| 5 | 2013 | 54 | |
| 6 | 2019 | 38 | |
| 7 | 2023 | 36 | |
| 8 | 2012 | 30 | |
| 9 | 2022 | 23 | |
| 10 | 2015 | 16 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2018 | 1 |
About Ryan Golhar
Ryan Golhar is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (3 papers), Single-cell and spatial transcriptomics (2 papers), Genetic factors in colorectal cancer (2 papers), Lung Cancer Treatments and Mutations (2 papers), RNA modifications and cancer (2 papers), Mitochondrial Function and Pathology (2 papers) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Oncology (767 citations), Cancer Research (252 citations), Clinical Biochemistry (82 citations), Immunology (245 citations) and Pulmonary and Respiratory Medicine (294 citations). Ryan Golhar has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Chang Han, William J. Geese, Joseph D. Szustakowski, Ariella Sasson, Mark M. Awad, Akin Atmaca, Paolo A. Ascierto, Emiliano Calvo, Matthew D. Hellmann and Naiyer A. Rizvi. Their work appears in journals such as Annals of Oncology, International Journal of Radiation Oncology*Biology*Physics, BMC Genomics, Molecular Diagnosis & Therapy and Scientific Reports.
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.