Noah Earland

1.2k total citations · 1 hit paper
15 papers, 489 citations indexed

About

Noah Earland is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Noah Earland has authored 15 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Otorhinolaryngology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in Noah Earland's work include Head and Neck Cancer Studies (7 papers), Cancer Genomics and Diagnostics (5 papers) and Lung Cancer Treatments and Mutations (3 papers). Noah Earland is often cited by papers focused on Head and Neck Cancer Studies (7 papers), Cancer Genomics and Diagnostics (5 papers) and Lung Cancer Treatments and Mutations (3 papers). Noah Earland collaborates with scholars based in United States, India and Canada. Noah Earland's co-authors include Ian A. Myles, Ian N. Moore, Sandip K. Datta, Aadel A. Chaudhuri, Erik D. Anderson, Pamela A. Welch, Natalia M. Fontecilla, Kelli W. Williams, Lisa Barnhart and Gülbû Uzel and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Noah Earland

12 papers receiving 486 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.

T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma

2022 180 citations Alexander X. Lozano, Aadel A. Chaudhuri et al. Nature Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Noah Earland United States	7	203	173	111	104	86	15	489
Karoline Zepter Switzerland	9	123 0.6×	122 0.7×	51 0.5×	175 1.7×	81 0.9×	13	400
Paula Michea France	10	86 0.4×	180 1.0×	87 0.8×	354 3.4×	89 1.0×	12	523
Miyuki Omori‐Miyake Japan	10	153 0.8×	47 0.3×	94 0.8×	205 2.0×	58 0.7×	14	414
Yuttana Srinoulprasert Thailand	13	122 0.6×	125 0.7×	75 0.7×	124 1.2×	51 0.6×	33	562
C.U. Brand Switzerland	13	271 1.3×	145 0.8×	69 0.6×	157 1.5×	50 0.6×	27	524
Monika Zabłotna Poland	12	159 0.8×	65 0.4×	44 0.4×	228 2.2×	43 0.5×	45	374
Tara M. Engeman United States	9	88 0.4×	184 1.1×	73 0.7×	399 3.8×	86 1.0×	9	580
Jolanta Gleń Poland	15	355 1.7×	45 0.3×	241 2.2×	309 3.0×	67 0.8×	44	655
Weilie Ma United States	10	102 0.5×	163 0.9×	160 1.4×	461 4.4×	129 1.5×	13	778
Hirokazu Kinoshita Japan	9	306 1.5×	34 0.2×	236 2.1×	148 1.4×	99 1.2×	12	495

Countries citing papers authored by Noah Earland

Since Specialization

Citations

This map shows the geographic impact of Noah Earland'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 Noah Earland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Earland more than expected).

Fields of papers citing papers by Noah Earland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah Earland. 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 Noah Earland. The network helps show where Noah Earland may publish in the future.

Co-authorship network of co-authors of Noah Earland

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Earland. A scholar is included among the top collaborators of Noah Earland 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 Noah Earland. Noah Earland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Smith, Joshua D., et al.. (2025). Emerging Proximal Liquid Biopsy Approaches for Detecting Residual Disease and Predicting Recurrence in Head and Neck Cancer: A Review and Proposal of Novel Liquid Staging. Head & Neck. 47(6). 1779–1787. 3 indexed citations

Earland, Noah, Lazar Vujanović, D. Elias, et al.. (2024). Abstract B031: Immune cell composition in surgical drain fluid as a novel prognostic marker in head and neck squamous cell carcinoma. Clinical Cancer Research. 30(21_Supplement). B031–B031. 1 indexed citations

Winckler, Wendy, Noah Earland, Peter K. Harris, et al.. (2024). Abstract 961: Detection of minimal residual disease in lymph predicts recurrence in HPV-negative head and neck cancer patients. Cancer Research. 84(6_Supplement). 961–961.

Earland, Noah, Kevin Chen, Nicholas P. Semenkovich, et al.. (2023). Emerging Roles of Circulating Tumor DNA for Increased Precision and Personalization in Radiation Oncology. Seminars in Radiation Oncology. 33(3). 262–278. 6 indexed citations

Earland, Noah, Wubing Zhang, Abul Usmani, et al.. (2023). CD4 T cells and toxicity from immune checkpoint blockade. Immunological Reviews. 318(1). 96–109. 9 indexed citations

Earland, Noah, et al.. (2023). Peroxiredoxins Play an Important Role in the Regulation of Immunity and Aging in Drosophila. Antioxidants. 12(8). 1616–1616.

Earland, Noah, Nicholas P. Semenkovich, Ricardo J. Ramirez, et al.. (2023). Sensitive MRD Detection from Lymphatic Fluid after Surgery in HPV-Associated Oropharyngeal Cancer. Clinical Cancer Research. 30(7). 1409–1421. 7 indexed citations

Semenkovich, Nicholas P., Jeffrey J. Szymanski, Noah Earland, et al.. (2023). Genomic approaches to cancer and minimal residual disease detection using circulating tumor DNA. Journal for ImmunoTherapy of Cancer. 11(6). e006284–e006284. 36 indexed citations

Lozano, Alexander X., Aadel A. Chaudhuri, Aishwarya Nene, et al.. (2022). T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma. Nature Medicine. 28(2). 353–362. 180 indexed citations breakdown →

10.

Earland, Noah, et al.. (2022). Quantification of Tumor-Associated Cell-Free HPV DNA in Surgical Drain Fluid Equates to Molecular Residual Disease and Correlates with High-Risk Pathology. International Journal of Radiation Oncology*Biology*Physics. 114(3). S144–S145.

11.

Xu, Zhongping, Noah Earland, Peter K. Harris, et al.. (2022). Human papillomavirus DNA resides in surgical drain fluid exosomes from HPV+ oropharyngeal squamous cell carcinoma patients and can be spread to neighboring HPV-negative cells.. Journal of Clinical Oncology. 40(16_suppl). e18050–e18050. 1 indexed citations

12.

Earland, Noah, Peter K. Harris, Zifeng Xu, et al.. (2022). Detection of Locoregional Minimal Residual Disease Immediately After Surgery Through Multi-Omic Analysis of Tumor-Associated Cell-Free DNA in Surgical Drain Fluid. International Journal of Radiation Oncology*Biology*Physics. 112(5). e47–e47. 2 indexed citations

13.

Ramirez, Ricardo J., et al.. (2021). Surgical Drain Fluid as a Novel Liquid Biopsy Analyte to Measure Postoperative Minimal Residual Disease in HPV+ Oropharyngeal Cancer. International Journal of Radiation Oncology*Biology*Physics. 111(3). S144–S145. 2 indexed citations

14.

Myles, Ian A., Noah Earland, Erik D. Anderson, et al.. (2018). First-in-human topical microbiome transplantation with Roseomonas mucosa for atopic dermatitis. JCI Insight. 3(9). 234 indexed citations

15.

Anderson, Erik D., Inka Sastalla, Noah Earland, et al.. (2018). Prolonging culture of primary human keratinocytes isolated from suction blisters with the Rho kinase inhibitor Y-27632. PLoS ONE. 13(9). e0198862–e0198862. 8 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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