Ryan Golhar

2.2k total citations · 1 hit paper
13 papers, 1.3k citations indexed

About

Ryan Golhar is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ryan Golhar has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Ryan Golhar's work include Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (3 papers) and RNA modifications and cancer (2 papers). Ryan Golhar is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (3 papers) and RNA modifications and cancer (2 papers). Ryan Golhar collaborates with scholars based in United States, China and Spain. Ryan Golhar's co-authors include Ariella Sasson, Chang Han, William J. Geese, Joseph D. Szustakowski, Naiyer A. Rizvi, Akin Atmaca, Matthew D. Hellmann, Fred R. Hirsch, Patrik Vitazka and Paolo A. Ascierto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Cell.

In The Last Decade

Ryan Golhar

13 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer

2018 670 citations Matthew D. Hellmann, Margaret K. Callahan et al. Cancer Cell profile →

Peers

Ryan Golhar

ONCOL

MB

PRM

CR

IMMUN

Elena Christian United States

Matthew G. Field United States

Göran Hesselager Sweden

Francesca Lessi Italy

Karisa C. Schreck United States

Nicholas T. Potter United States

Walid K. Chatila United States

Yasuo Tohma Japan

Marco Fioramonti Italy

Monika Goś Poland

Elena Christian United States

Ryan Golhar

441 ×0.6

ONCOL

574 ×1.1

MB

78 ×0.3

PRM

236 ×0.9

CR

619 ×2.5

IMMUN

Citations per year, relative to Ryan Golhar Ryan Golhar (= 1×) peers Elena Christian

Countries citing papers authored by Ryan Golhar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan Golhar

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Golhar. A scholar is included among the top collaborators of Ryan Golhar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan Golhar. Ryan Golhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Szabó, Péter M., Amir Vajdi, Namit Kumar, et al.. (2023). Cancer-associated fibroblasts are the main contributors to epithelial-to-mesenchymal signatures in the tumor microenvironment. Scientific Reports. 13(1). 3051–3051. 36 indexed citations

2.

Lyubetskaya, Anna, Brian Rabe, Andrew Fisher, et al.. (2022). Assessment of spatial transcriptomics for oncology discovery. Cell Reports Methods. 2(11). 100340–100340. 23 indexed citations

3.

Kumar, Namit, et al.. (2021). Rapid single cell evaluation of human disease and disorder targets using REVEAL: SingleCell™. BMC Genomics. 22(1). 5–5. 2 indexed citations

4.

Kalinava, Natallia, Sujaya Srinivasan, Ming‐Shan Chien, et al.. (2020). Modeling Performance of Sample Collection Sites Using Whole Exome Sequencing Metrics. BioTechniques. 69(6). 421–427. 2 indexed citations

5.

Han, Chang, Ariella Sasson, Sujaya Srinivasan, et al.. (2019). Bioinformatic Methods and Bridging of Assay Results for Reliable Tumor Mutational Burden Assessment in Non-Small-Cell Lung Cancer. Molecular Diagnosis & Therapy. 23(4). 507–520. 38 indexed citations

6.

Hellmann, Matthew D., Margaret K. Callahan, Mark M. Awad, et al.. (2018). Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer. Cancer Cell. 33(5). 853–861.e4. 670 indexed citations breakdown →

7.

Manjarrez‐Orduño, Nataly, Laurence Ménard, Paul Fischer, et al.. (2018). Circulating T Cell Subpopulations Correlate With Immune Responses at the Tumor Site and Clinical Response to PD1 Inhibition in Non-Small Cell Lung Cancer. Frontiers in Immunology. 9. 1613–1613. 98 indexed citations

8.

Chang, Han, Sujaya Srinivasan, Ariella Sasson, et al.. (2018). Toward the standardization of bioinformatics methods for the accurate assessment of tumor mutational burden (TMB). Annals of Oncology. 29. viii20–viii21. 1 indexed citations

9.

Almoguera, Berta, Jiankang Li, Patrícia José, et al.. (2015). Application of Whole Exome Sequencing in Six Families with an Initial Diagnosis of Autosomal Dominant Retinitis Pigmentosa: Lessons Learned. PLoS ONE. 10(7). e0133624–e0133624. 16 indexed citations

10.

Picard, Martin, Jiangwen Zhang, Saege Hancock, et al.. (2014). Progressive increase in mtDNA 3243A>G heteroplasmy causes abrupt transcriptional reprogramming. Proceedings of the National Academy of Sciences. 111(38). E4033–42. 231 indexed citations

11.

Shi, Lingling, Xu Zhang, Ryan Golhar, et al.. (2013). Whole-genome sequencing in an autism multiplex family. Molecular Autism. 4(1). 8–8. 54 indexed citations

12.

Wang, Kai, Cecilia Kim, Jonathan P. Bradfield, et al.. (2013). Whole-genome DNA/RNA sequencing identifies truncating mutations in RBCK1 in a novel Mendelian disease with neuromuscular and cardiac involvement. Genome Medicine. 5(7). 67–67. 62 indexed citations

13.

Haffty, Bruce G., Hao Wu, Qifeng Yang, et al.. (2012). Low p53 Binding Protein 1 (53BP1) Expression Is Associated With Increased Local Recurrence in Breast Cancer Patients Treated With Breast-Conserving Surgery and Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 83(5). e677–e683. 30 indexed citations

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.

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