Christopher Ahern

476 total citations
18 papers, 273 citations indexed

About

Christopher Ahern is a scholar working on Pulmonary and Respiratory Medicine, Linguistics and Language and Experimental and Cognitive Psychology. According to data from OpenAlex, Christopher Ahern has authored 18 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Linguistics and Language and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Christopher Ahern's work include Pleural and Pulmonary Diseases (5 papers), Occupational and environmental lung diseases (5 papers) and Linguistic Variation and Morphology (4 papers). Christopher Ahern is often cited by papers focused on Pleural and Pulmonary Diseases (5 papers), Occupational and environmental lung diseases (5 papers) and Linguistic Variation and Morphology (4 papers). Christopher Ahern collaborates with scholars based in United States and United Kingdom. Christopher Ahern's co-authors include William D. Lindsay, Robin Clark, Charles B. Simone, Joshua B. Plotkin, Vivek Verma, Surbhi Grover, Joseph S. Friedberg, Melissa Culligan, Jacob E. Shabason and Sonam Sharma and has published in prestigious journals such as Nature, Journal of Clinical Oncology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Christopher Ahern

18 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Ahern United States 9 150 70 44 36 25 18 273
Gerard Van Herk Canada 10 35 0.2× 21 0.3× 5 0.1× 195 5.4× 68 2.7× 27 347
Flor Aarts Netherlands 11 47 0.3× 32 0.5× 4 0.1× 46 1.3× 36 1.4× 25 295
Dianne Johnson United States 9 67 0.4× 48 0.7× 7 0.2× 2 0.1× 12 0.5× 27 269
Christopher Fox United States 11 167 1.1× 169 2.4× 14 0.3× 1 0.0× 4 0.2× 51 440
Howard Berman United States 7 12 0.1× 3 0.0× 15 0.3× 45 1.3× 35 1.4× 33 166
Beverley Collins Netherlands 8 20 0.1× 16 0.2× 4 0.1× 145 4.0× 162 6.5× 23 326
Yurie Hara Japan 9 28 0.2× 3 0.0× 4 0.1× 13 0.4× 38 1.5× 43 244
Laura Davis United States 8 259 1.7× 7 0.1× 10 0.2× 9 0.3× 1 0.0× 17 439
Vicky Chen United States 7 73 0.5× 132 1.9× 1 0.0× 10 0.4× 14 310
Sue Hudson United Kingdom 11 84 0.6× 52 0.7× 8 0.3× 40 362

Countries citing papers authored by Christopher Ahern

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Ahern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Ahern

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

All Works

18 of 18 papers shown
1.
Das, Prajnan, William D. Lindsay, Christopher Ahern, et al.. (2021). A Machine Learning Model Approach to Risk-Stratify Patients With Gastrointestinal Cancer for Hospitalization and Mortality Outcomes. International Journal of Radiation Oncology*Biology*Physics. 111(1). 135–142. 7 indexed citations
2.
Barsky, Andrew R., Christopher Ahern, Sriram Venigalla, et al.. (2020). Gender-based Disparities in Receipt of Care and Survival in Malignant Pleural Mesothelioma. Clinical Lung Cancer. 21(6). e583–e591. 10 indexed citations
3.
Reddy, Jay P., William D. Lindsay, Christopher Ahern, et al.. (2019). Applying a Machine Learning Approach to Predict Acute Radiation Toxicities for Head and Neck Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 105(1). S69–S69. 8 indexed citations
4.
Ahern, Christopher, et al.. (2019). Improving quality through A.I.: Applying machine learning to predict unplanned hospitalizations after radiation.. Journal of Clinical Oncology. 37(27_suppl). 271–271. 2 indexed citations
5.
Verma, Vivek, Christopher Ahern, William D. Lindsay, et al.. (2018). Treatment of malignant pleural mesothelioma with chemotherapy preceding versus after surgical resection. Journal of Thoracic and Cardiovascular Surgery. 157(2). 758–766.e1. 20 indexed citations
6.
Verma, Vivek, Christopher Ahern, William D. Lindsay, et al.. (2018). Facility volume and postoperative outcomes for malignant pleural mesothelioma: A National Cancer Data Base analysis. Lung Cancer. 120. 7–13. 18 indexed citations
7.
Verma, Vivek, Christopher Ahern, William D. Lindsay, et al.. (2018). Survival by Histologic Subtype of Malignant Pleural Mesothelioma and the Impact of Surgical Resection on Overall Survival. Clinical Lung Cancer. 19(6). e901–e912. 40 indexed citations
8.
Lindsay, William D., Christopher Ahern, C. Chinniah, et al.. (2018). Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy. Medical Physics. 46(2). 1054–1063. 10 indexed citations
9.
Reddy, Jay P., et al.. (2018). Applying a Machine Learning Approach to Predict Acute Toxicities During Radiation for Breast Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 102(3). S59–S59. 8 indexed citations
10.
Verma, Vivek, Christopher Ahern, William D. Lindsay, et al.. (2017). National Cancer Database Report on Pneumonectomy Versus Lung-Sparing Surgery for Malignant Pleural Mesothelioma. Journal of Thoracic Oncology. 12(11). 1704–1714. 60 indexed citations
11.
Ahern, Christopher, et al.. (2017). Detecting evolutionary forces in language change. Nature. 551(7679). 223–226. 62 indexed citations
12.
Ahern, Christopher & Robin Clark. (2017). Conflict, cheap talk, and Jespersen's cycle. Semantics and Pragmatics. 10(11). 3 indexed citations
13.
Ahern, Christopher. (2016). Cycles and Stability in Linguistic Signaling. ScholarlyCommons (University of Pennsylvania). 2 indexed citations
14.
Tamminga, Meredith, et al.. (2016). Generalized Additive Mixed Models for intraspeaker variation. Linguistics Vanguard. 2(s1). 13 indexed citations
15.
Ahern, Christopher & Robin Clark. (2014). DIACHRONIC PROCESSES IN LANGUAGE AS SIGNALING UNDER CONFLICTING INTERESTS. The Evolution of Language. 25–32. 3 indexed citations
16.
Ahern, Christopher, et al.. (2014). How Uniqueness Guides Definite Description Processing. Scholarly Commons (University of Pennsylvania). 20(1). 3. 2 indexed citations
17.
Ahern, Christopher. (2014). Mergers, Migration, and Signaling. Scholarly Commons (University of Pennsylvania). 20(1). 2. 1 indexed citations
18.
Sampson, Barbara K., et al.. (1997). Clinical Pathway Across Tertiary and Community Care After an Interventional Cardiology Procedure. The Journal of Cardiovascular Nursing. 11(2). 1–14. 4 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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